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Director, Machine Learning Engineer\n \n \n Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking a hands-on people leader for Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer people leader, you’ll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. \n \n What You’ll Do: \n\n • Deliver ML models and software components that solve challenging business problems in the financial services industry, working in collaboration with the Product, Architecture, Engineering, and Data Science teams\n, • Drive the creation and evolution of ML models and software that enable state-of-the-art intelligent systems\n, • Lead large-scale ML initiatives with the customer in mind\n, • Leverage cloud-based architectures and technologies to deliver optimized ML models at scale\n, • Optimize data pipelines to feed ML models\n, • Use programming languages like Python, Scala, or Java\n, • Evangelize best practices in all aspects of the engineering and modeling lifecycles\n, • Recruit, nurture, and retain top engineering talent\n, • Serve as a force-multiplier for the team, balancing deep, hands-on technical contribution and innovation with mentoring and elevating the skills of peers and junior engineers\n, • Recruit, nurture, and retain top engineering talent\n, • Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community\n\n \n Basic Qualifications: \n\n • Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)\n, • At least 3 years of people leadership experience\n, • At least 8 years of experience programming with Python, Java, Golang, or C++\n, • At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn)\n, • At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data\n, • At least 5 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems\n\n \n Preferred Qualifications: \n\n • Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field\n, • 5+ years of experience managing and leading an engineering team\n, • 3+ years of experience architecting and designing resilient, large-scale, production machine learning systems from data preparation, to model training, and inference\n, • 5+ years of experience optimizing ML algorithms, configurations, and infrastructure\n, • 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting)\n, • 7+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models\n, • Ability to communicate complex technical concepts clearly to a variety of audiences\n, • Driving impacts in the ML industry through conference presentations, papers, blog posts, open source contributions or patents\n, • Experience hiring and developing high-performing ML engineers with an inspiring leadership style \n, • Highly developed interpersonal, presentation, and communications skills\n, • Driving impacts in the ML industry through conference presentations, papers, blog posts, open source contributions or patents\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n McLean, VA: $269,100 - $307,200 for Director, Machine Learning Engineer\n \n New York, NY: $293,600 - $335,100 for Director, Machine Learning Engineer\n \n San Francisco, CA: $293,600 - $335,100 for Director, Machine Learning Engineer\n \n San Jose, CA: $293,600 - $335,100 for Director, Machine Learning Engineer\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Machine Learning Engineer 5\n \n \n Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you’ll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. \n \n What You’ll Do: \n\n • The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following:\n, • Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams\n, • Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale\n, • Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation)\n, • Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment\n, • Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications\n, • Retrain, maintain, and monitor models in production\n, • Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale.\n, • Construct optimized data pipelines to feed ML models\n, • Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code\n, • Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI\n, • Use programming languages like Python, Scala, or Java\n\n \n Basic Qualifications: \n\n • Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)\n, • At least 6 years of experience programming with Python, Java, Golang, or C++\n, • At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn)\n, • At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data\n, • At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems\n\n \n Preferred Qualifications: \n\n • Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field\n, • 5+ years of experience optimizing ML algorithms, configurations, and infrastructure\n, • 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. \n, • 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans\n, • 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting)\n, • 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models\n, • ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents\n, • Ability to communicate complex technical and machine learning concepts clearly to a variety of audiences\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n McLean, VA: $229,900 - $262,400 for Machine Learning Engineer 5\n \n New York, NY: $250,800 - $286,200 for Machine Learning Engineer 5\n \n Plano, TX: $209,000 - $238,500 for Machine Learning Engineer 5\n \n Richmond, VA: $209,000 - $238,500 for Machine Learning Engineer 5\n \n San Francisco, CA: $250,800 - $286,200 for Machine Learning Engineer 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Machine Learning Engineer 4 - Finance Tech\n \n \n Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you’ll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. \n \n Finance Tech is responsible for transforming Capital One's financial engine into the most trusted, nimble, and insightful in the industry. Our core mission is to engineer outcomes that strategically enable the Finance organization and the broader Enterprise to remain efficient. This mission is driven by four technical and functional pillars: Forecasting & Resiliency, providing advanced decision support; Treasury & Trade managing sophisticated cash and investment lifecycles; and Accounting & Reporting, ensuring the integrity of our general ledger and regulatory commitments. Powering these pillars are our Data and Core capabilities, which manage the orchestration, sourcing, and pipelines for critical financial data products. \n \n By defining the next generation of financial technology, we ensure that every business process is backed by high fidelity tracking and reporting. Together, we are not just supporting the bottom line - we are building a strategic enabler that operates as a world class financial engine. \n \n What You’ll Do: \n\n • The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following:\n, • Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams\n, • Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation)\n, • Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment \n, • Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications\n, • Retrain, maintain, and monitor models in production\n, • Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale\n, • Construct optimized data pipelines to feed ML models\n, • Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code \n, • Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI\n, • Use programming languages like Python, Scala, or Java\n\n \n This role is designated as a hybrid position. You are expected to adhere to Capital One's hybrid policy regarding required on-site presence at your designated office location. \n Basic Qualifications: \n\n • Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)\n, • At least 4 years of experience programming with Python, Java, Golang, or C++\n, • At least 4 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn)\n, • At least 4 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data\n, • At least 2 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems\n\n \n Preferred Qualifications: \n\n • Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field\n, • 3+ years of experience optimizing ML algorithms, configurations, and infrastructure\n, • 3+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. \n, • 3+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans.\n, • 3+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting)\n, • 3+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models.\n, • 1+ years of experience as a technical lead developing ML solutions using industry best practices, patterns, and automation \n, • Authored/co-authored a paper on a ML technique, model, or proof of concept\n\n \n At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer). \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $197,300 - $225,100 for Machine Learning Engineer 4\n \n McLean, VA: $197,300 - $225,100 for Machine Learning Engineer 4\n \n New York, NY: $215,200 - $245,600 for Machine Learning Engineer 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

AI Engineer 3 (AI Foundations)\n \n \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n What You’ll Do: \n\n • Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.\n, • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.\n, • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.\n, • Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems.\n, • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.\n, • Lead development and benchmarking of multi-turn conversational and tool-using agent workflows, ensuring measurable performance and safety metrics\n, • Implement scalable pipelines for training, fine-tuning and deploying foundation or domain-specific models across multiple environments\n, • Collaborate with research and data engineering teams to curate high-quality datasets and improve model evaluation methodologies\n, • Contribute to governance and security efforts for model traceability, lineage documentation, and version control of deployed AI assets\n, • Mentor junior AI engineers and advocate for engineering excellence, reproducibility, and responsible experimentation\n\n \n The Ideal Candidate: \n\n • You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good\n, • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production\n, • You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven\n, • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss\n, • You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown\n\n \n This role is designated as a hybrid position. You are expected to adhere to Capital One's hybrid policy regarding required on-site presence at your designated office location. \n \n Basic Qualifications: \n\n • Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 3 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 1 year of experience developing AI and ML algorithms or technologies\n, • At least 3 years of experience programming with Python, Go, Scala, CUDA, or Java\n\n \n Preferred Qualifications: \n\n • Experience contributing to development of components of AI systems with tradeoff decisions around cost, latency, throughput and accuracy\n, • 4+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)\n, • Experience developing, delivering, and supporting AI services\n, • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang\n, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost\n, • Experience in building agentic AI systems and agentic workflows\n, • Demonstrated ability to evaluate and optimize LLM performance using quantitative metrics (accuracy, coherence, latency, cost)\n, • Hands-on experience implementing retrieval-augmented generation (RAG), vector database integrations, and fine-tuning workflows\n, • Experience applying prompt-engineering strategies, safety guardrails, and red-teaming methodologies to production AI systems\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n R1005255 AI Engineer 3 (AI Foundations) \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n McLean, VA: $161,800 - $184,600 for AI Engineer 3\n \n New York, NY: $176,500 - $201,400 for AI Engineer 3\n \n San Jose, CA: $176,500 - $201,400 for AI Engineer 3\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

AI Engineer 4\n \n \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n What You’ll Do: \n\n • Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.\n, • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.\n, • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.\n, • Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems.\n, • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.\n, • Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment\n, • Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift\n, • Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines\n, • Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met\n, • Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation\n\n \n The Ideal Candidate: \n\n • You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good\n, • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production\n, • You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven\n, • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss\n, • You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown\n\n \n Basic Qualifications: \n\n • Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies\n, • At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java\n\n \n Preferred Qualifications: \n\n • Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy\n, • 6+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)\n, • Experience designing, developing, delivering, and supporting AI services\n, • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang\n, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost\n, • Experience in building agentic AI systems and agentic workflows\n, • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production\n, • Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale\n, • Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules\n, • Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $197,300 - $225,100 for AI Engineer 4\n \n McLean, VA: $197,300 - $225,100 for AI Engineer 4\n \n New York, NY: $215,200 - $245,600 for AI Engineer 4\n \n San Francisco, CA: $215,200 - $245,600 for AI Engineer 4\n \n San Jose, CA: $215,200 - $245,600 for AI Engineer 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job Description Mission Statement: Baltic Street Wellness Solutions is committed to providing peer recovery, person-centered, trauma informed, and compassionate services to those with mental health lived experience. Vision: Our vision is to drive a cultural transformation within the mental health community by advocating for the underserved, educating for change, and inspiring wellness. We approach our role with cultural humility and mindfulness of oppressive systems. Program Summary The Adult Homes Initiative is designed to provide peer support services to people transitioning from adult homes into the community and in community support for those people that have already transitioned back into independent in-community living through individual and group peer support engagements and the execution and development of service plans. Our peer staff will use their lived experience to support and bridge individuals from adult home settings into their desired communities throughout Brooklyn, Bronx and Staten Island. Our Core Values: • We value a mentoring philosophy delivered from staff with peer lived experiences., • We value the recovery journey of every individual with a mental health diagnosis., • We value the personal and professional experiences of our staff and board members., • We value community action to change societal views to break the stigma of mental health through advocacy within all systems., • We value everyone's desire to have opportunities to obtain their visions of wellness., • We value education and training to enhance an individual's opportunities for growth in one's personal journey to self-discovery. Position Summary As a Senior Peer Bridger, you will oversee and support a team of Certified Peer Bridgers who provide peer support services to individuals facing mental health challenges. Your primary responsibility will be to ensure the effective delivery of peer support programs and the professional development of your team members. You will provide guidance, supervision, and coordination to ensure the highest quality of care and adherence to organizational standards. Essential Duties and Responsibilities • Supervision and Guidance: Provide direct supervision, support, and guidance to a team of Certified Peer Bridgers. Conduct regular individual supervision sessions to discuss caseloads, review progress, provide feedback, and address any challenges or concerns., • Program Development: Collaborate with program leadership to develop and implement peer support programs that align with the needs and goals of the target population. Contribute to the design of program frameworks executions, weigh in on program procedures., • Team Coordination: Coordinate the day-to-day operations of the Certified Peer Bridger team, ensuring appropriate workload distribution, caseload management, and adherence to program timelines. Coordinate with program leadership to identify and support maintaining a positive team culture that promotes collaboration, learning, and professional growth., • Training and Development: Identify training needs and coordinate with program leadership to provide or facilitate relevant training opportunities for Certified Peer Bridgers. Stay updated on best practices in peer support, recovery-oriented approaches, and mental health interventions to enhance the skills and knowledge of your team through regular training and supervision with program leadership., • Quality Assurance: Monitor the quality and effectiveness of peer support services being provided by the Certified Peer Bridgers. Conduct regular file reviews, case consultations, and audits to ensure compliance with program guidelines, ethical standards, and regulatory requirements., • Program Evaluation and Reporting: Collect, analyze, and report program data and outcomes to program leadership to contribute to informing program improvements and demonstrate the effective impacts of peer support services. Collaborate with the program leadership to help improve evaluation tools and methods., • Collaboration and Networking: Establish and maintain collaborative relationships with internal stakeholders (e.g., Regional Managers, Program Director, and Deputy Director of Programming) and external partners (e.g., community organizations, OMH, Housing providers, care management, in-reach teams, club houses, PROS programs) to enhance service coordination and referrals for program participants., • Documentation and Record Keeping: Ensure accurate and timely documentation of participant interactions, progress notes, and program-related documentation in compliance with organizational policies and confidentiality guidelines (HIPPA)., • Crisis Management: Provide support and guidance to Certified Peer Bridgers in handling crisis situations, including trauma informed risk assessment, managing safety concerns, and facilitating appropriate referrals to emergency services when necessary., • Continuous Learning: Stay informed about current research, best practices, and emerging trends in peer support, mental health recovery, and related fields. Participate in professional development activities to enhance your knowledge and skills as a Certified Senior Peer Bridger. Minimum Qualifications (Knowledge, Skills, and Abilities) • High School Diploma, GED (General Equivalency Diploma) required, College degree in related field a plus., • At least two years’ experience working as a Senior Peer Bridger, demonstrated experience working as a Certified Peer Bridger or in a similar peer support role. Previous experience in a supervisory or leadership capacity is a must., • New York State Certified Peer Specialists certification (Active) - or must be Re-certified within 5 months of hiring., • Strong understanding of mental health challenges, recovery-oriented approaches, and the principles of peer support. Familiarity with evidence-based interventions and current trends in trauma informed mental health care and substance abuse systems., • Proven ability to provide effective supervision, coaching, and mentorship to a team of professionals. Strong leadership and team-building skills to foster a positive and collaborative work environment., • Excellent verbal and written communication skills, including active listening, conflict resolution, and interpersonal skills. Ability to communicate effectively with diverse stakeholders, including program participants, staff members, and external partners., • Demonstrate knowledge of advocacy, self-help, and empowerment programs for recipients of mental health and substance abuse services, • Ability to be a role model and convey a message of hope and wellness for people diagnosed with mental illness and working peer staff., • Strong organizational and time management skills to manage multiple priorities, meet deadlines, and ensure the smooth operation of programs and services., • Understanding of professional boundaries, ethical guidelines, and confidentiality requirements when working with individuals facing mental health challenges., • Ability to collaborate and coordinate with multidisciplinary teams, including mental health professionals, social workers, and community organizations., • Ability to complete competent documentation requirements regarding work activities., • Must have lived experience with the public mental health system, • Computer Skills: Proficiency in using computer applications and software for documentation, data management, and communication purposes. – knowledge of Foothold Technology’s AWARDS system is a plus, • Selected candidates will be required to work throughout the 5 boroughs Baltic Street Wellness Solutions will require selected candidates to submit proof of complete vaccination against COVID-19 and having received a booster shot. If a candidate has a qualifying medical condition or religious exemption that contraindicates a COVID-19 vaccination, an exemption form should be requested from Human Resources. Physical Demands and Work Environment The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this position. Reasonable accommodation may be made to enable individuals with disabilities to perform the functions. While performing the duties of this position, the employee is regularly required to talk or hear. The employee frequently is required to use hands or finger, handle, or feel objects, tools, or controls. The employee is occasionally required to stand, walk, sit; reach with hands and arms. The employee must occasionally lift and/or move up to 15 pounds. Specific vision abilities required by this position include close vision, distance vision, peripheral vision, and the ability to adjust focus. The noise level in the work environment is usually moderate.

Job Description THE ORGANIZATION The Center for Justice Innovation is a nonprofit organization dedicated to advancing community safety and racial justice. Since 1996, we’ve worked alongside communities, courts, and those most directly affected by the justice system to build stronger, healthier, and more equitable neighborhoods. With a team of over 900 staff and an annual budget of $130 million, the Center carries out its mission through three core strategies: • Operating Programs that pilot new ideas and address local challenges;, • Conducting original research to evaluate what works—and what doesn’t; and, • Providing expert assistance and policy guidance to reformers across the country and beyond. Backed by decades of on-the-ground experience and nationally recognized expertise, we bring innovative, practical, and lasting solutions to justice systems nationwide. Learn more about our work at www.innovatingjustice.org. THE OPPORTUNITY The Queens Community Justice Center (Justice Center) works to create a safer, more equitable Queens through community-driven safety initiatives, alternative justice strategies, violence prevention, economic development, community healing, and youth opportunity. The Queens Community Justice Center is seeking a Youth Coach for its QUEST (Queens Engagement Strategies for Teens) alternative-to-detention (ATD) program. Reporting to the Program Coordinator, the Youth Coach supports participants enrolled in the Alternative to Detention program and will develop and implement programming to support social emotional learning for all participants. The Youth Coach will be responsible for tracking school attendance, curfew compliance and court attendance of all youth enrolled in the program, provide programming for youth during after-school hours, and will work with stakeholders and staff to ensure effective delivery of services to participants and their families. Responsibilities include but are not limited to: • Work with a caseload of youth (age 12-17), which includes weekly case management, coaching, crisis response, coordination of care, and referral services;, • Develop individualized action plans and aftercare plans with participants;, • Develop, facilitate, implement, and coordinate daily after-school programming for all youth enrolled in the QUEST program;, • Facilitate psychoeducational group workshops as part of after-school programming;, • Collaborate with Family Court practitioners as part of ongoing case management duties;, • Identify program participants’ strengths and individual interests;, • Collaborate in all service planning for youth;, • Refer families to appropriate services and resources and respond with innovative solutions when challenges present;, • Conduct curfew monitoring calls;, • Obtain school attendance records;, • Provide educational support and advocacy for participants;, • Maintain records of identified participants’ contacts to produce regularly scheduled reports;, • Prepare court reports;, • Participate in field work to support youth, as needed;, • Represent QUEST ATD and support youth during scheduled court hearings as needed;, • Participate in other QCJC programming and events, including community and other partner meetings, as needed; and, • Additional relevant tasks, as needed. Qualifications:, • Bachelor’s degree in social services or related field or a High School diploma (or higher) and at least 3-4 years of experience in youth development work preferably within the juvenile justice system;, • Bilingual (English/Spanish) strongly preferred;, • Excellent written and verbal communication and computer skills required; and, • Candidate must be able to work in a multi-disciplinary setting and maintain strong relationships with youth, families, multiple agencies and organizations both onsite and in the community. Position Type: Full-Time 11:00 AM to 7:00 PM, some late evenings and weekends as needed. Position Location: Queens, NY. Compensation: The compensation range for this position is $28.57 - $30.31 per hour, annually equivalent to $52,000 - $55,169 based on a 35-hour work week and is commensurate with experience. Benefits: The Center for Justice Innovation offers an excellent benefits package including comprehensive healthcare with a national network, free basic dental coverage, vision insurance, short-term and long-term disability, life insurance, and flexible spending accounts including commuter FSA. We prioritize mental health care for our staff and offer services like Talkspace and Ginger through our healthcare plans. We offer a 403(b) retirement plan with a two-to-one employer contribution up to 5%. The Center for Justice Innovation is an equal opportunity employer committed to fostering an inclusive and diverse workplace. We do not discriminate based on race, color, religion, gender identity, gender expression, pregnancy, national origin, age, military service eligibility, veteran status, sexual orientation, marital status, disability, or any other category protected by law. We strongly encourage and welcome applications from women, people of color, members of the LGBTQ+ community, and individuals with prior contact with the criminal justice system. Our goal is to create a supportive and respectful environment where everyone, regardless of background or identity, feels valued and included. At this time, the Center is unable to sponsor or take over sponsorship of an employment visa. All applicants must be legally authorized to work in the United States at the time of application and throughout the duration of employment. Candidates are expected to provide accurate and truthful information throughout the hiring process. Any misrepresentation, falsification, or omission of material facts may result in disqualification from consideration, withdrawal of an offer, or termination of employment, regardless of when discovered. In compliance with federal law, all hires must verify their identity and eligibility to work in the United States and complete the required employment verification form upon hire. Please refer to the job posting for relevant contact information. If contact details are not provided, we kindly ask that you refrain from inquiries via phone or email, as only shortlisted candidates will be contacted. Powered by JazzHR VmwRVAc350

About the Role: \n We are looking for existing software engineers and developers to help advance AI development. As a member of DataAnnotation's Software Engineering team, you'll be part of a growing community of over 100,000 professionals, including front-end, back-end, full-stack, machine learning, DevOps, and other software engineers who are driving real-world impact in AI development. \n Our platform offers an engaging blend of flexibility and challenge. You'll work closely with state-of-the-art AI models on programming tasks such as creating and solving complex coding problems, building applications with rich functionality, debugging and improving code, and synthesizing insights through data analysis and visualization. Your work directly contributes to refining intelligent systems that learn, adapt, and evolve. \n Some contributors fit this work alongside a full-time role, while others make it their primary focus, choosing projects and schedules that align with their availability and goals. \n To get started, you'll create an account and complete a short assessment, which serves as our version of an interview. If you pass the assessment, you'll receive an email confirmation and gain access to paid projects through our platform. \n Advantages of contracting with us: \n\n • Choose which projects you want to work on and when.\n, • Work with state-of-the-art and unreleased AI coding agents.\n, • Work on your own schedule, using your own computer, from the comfort of your home.\n, • Projects are paid hourly starting at $50-100+/hr with higher rates available for certain projects.\n\n Responsibilities: \n\n • Create and work with coding environments, unit tests, and verifiers.\n, • Design and solve diverse coding problems used to train AI systems.\n, • Write clear, high-quality code and technical explanations.\n, • Evaluate model trajectories for accuracy, performance, readability, and best practices.\n, • Identify bugs, edge cases, and opportunities for improvement in AI-generated solutions.\n, • Provide structured feedback that helps improve the next generation of AI models.\n\n Qualifications: \n\n • Fluency in English (native or bilingual level).\n, • Proficiency in at least one modern programming language, such as Python, JavaScript, TypeScript, Java, C, C#, C++, Go, Kotlin, Swift, or React.\n, • Strong software engineering fundamentals, including problem-solving, debugging, and code review.\n, • Excellent written communication skills.\n, • A bachelor's degree (completed or in progress).\n, • Previous experience as a Software Engineer, Software Developer, Programmer, Full-Stack Engineer, Front-End Engineer, Back-End Engineer, or similar technical role is preferred.\n\n Note: \n Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This job is only available to those in the United States, Canada, the United Kingdom, Ireland, Australia, New Zealand, the Netherlands, Germany, Denmark, Norway, Sweden, Poland, Romania, Ukraine, Argentina, Brazil, India, and the Philippines. Those located outside of these countries will not see work or assessments available on our site at this time. This is an independent contractor position. \n #SWE

AI Engineer 4 (MLX, Agentic AI, Gen AI platform Services)\n \n \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n What You’ll Do: \n\n • \n Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. \n • \n Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. \n • \n Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. \n • \n Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. \n • \n Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. \n • \n Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment \n • \n Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift \n • \n Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines \n • \n Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met \n • \n Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation \n\n \n The Ideal Candidate: \n\n • \n You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good \n • \n Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production \n • \n You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven \n • \n You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss \n • \n You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown \n\n \n Basic Qualifications: \n\n • \n Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies \n • \n At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java \n\n \n Preferred Qualifications: \n\n • \n Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy \n • \n 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) \n • \n Experience designing, developing, delivering, and supporting AI services \n • \n Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang \n • \n Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost \n • \n Experience in building agentic AI systems and agentic workflows \n • \n Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production \n • \n Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale \n • \n Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules \n • \n Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $197,300 - $225,100 for AI Engineer 4\n \n McLean, VA: $197,300 - $225,100 for AI Engineer 4\n \n New York, NY: $215,200 - $245,600 for AI Engineer 4\n \n San Francisco, CA: $215,200 - $245,600 for AI Engineer 4\n \n San Jose, CA: $215,200 - $245,600 for AI Engineer 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

AI Engineer 4 (AI Foundations, LLM Core and Agentic AI)\n \n \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n What You’ll Do: \n\n • \n Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. \n • \n Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. \n • \n Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. \n • \n Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. \n • \n Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. \n • \n Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment \n • \n Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift \n • \n Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines \n • \n Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met \n • \n Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation \n\n \n The Ideal Candidate: \n\n • \n You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good \n • \n Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production \n • \n You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven \n • \n You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss \n • \n You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown \n\n \n Basic Qualifications: \n\n • \n Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies \n • \n At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java \n\n \n Preferred Qualifications: \n\n • \n Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy \n • \n 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) \n • \n Experience designing, developing, delivering, and supporting AI services \n • \n Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang \n • \n Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost \n • \n Experience in building agentic AI systems and agentic workflows \n • \n Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production \n • \n Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale \n • \n Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules \n • \n Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $197,300 - $225,100 for AI Engineer 4\n \n McLean, VA: $197,300 - $225,100 for AI Engineer 4\n \n New York, NY: $215,200 - $245,600 for AI Engineer 4\n \n San Jose, CA: $215,200 - $245,600 for AI Engineer 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

AI Engineer 4 (Gen AI Platform Services)\n \n \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n What You’ll Do: \n\n • Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.\n, • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.\n, • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.\n, • Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems.\n, • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.\n, • Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment\n, • Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift\n, • Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines\n, • Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met\n, • Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation\n\n \n The Ideal Candidate: \n\n • You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good\n, • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production\n, • You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven\n, • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss\n, • You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown\n\n \n Basic Qualifications: \n\n • Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies\n, • At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java\n\n \n Preferred Qualifications: \n\n • Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy\n, • 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)\n, • Experience designing, developing, delivering, and supporting AI services\n, • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang\n, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost\n, • Experience in building agentic AI systems and agentic workflows\n, • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production\n, • Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale\n, • Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules\n, • Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $197,300 - $225,100 for AI Engineer 4\n \n McLean, VA: $197,300 - $225,100 for AI Engineer 4\n \n New York, NY: $215,200 - $245,600 for AI Engineer 4\n \n San Jose, CA: $215,200 - $245,600 for AI Engineer 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Machine Learning Engineer 4 - Manager IC\n \n \n Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you’ll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. \n \n As part of the Enterprise ML Platform team, you will build and evolve the high-throughput, multi-tenant training platform that powers model workflows across Capital One—ranging from classical ML to GenAI fine-tuning and distributed computing with Ray, Spark, and Dask. Owning the Kubeflow Pipelines v2 application layer on Amazon EKS, the team develops internal Python and Go SDKs, custom Kubernetes operators, and developer tooling that abstract complex infrastructure for critical, regulated workloads. In this role, you will integrate agentic AI into modern engineering lifecycles and contribute directly to upstream open-source Kubeflow, balancing fast-paced feature delivery with enterprise-grade platform stability and security. \n What You’ll Do: \n\n • The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following:\n, • Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams\n, • Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation)\n, • Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment \n, • Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications\n, • Retrain, maintain, and monitor models in production\n, • Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale\n, • Construct optimized data pipelines to feed ML models\n, • Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code \n, • Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI\n, • Use programming languages like Python, Scala, or Java\n\n \n Basic Qualifications: \n\n • Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)\n, • At least 4 years of experience programming with Python, Java, Golang, or C++\n, • At least 4 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn)\n, • At least 4 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data\n, • At least 2 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems\n\n \n Preferred Qualifications: \n\n • Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field\n, • 3+ years designing, training, optimizing, and evaluating modern ML models across architectures (e.g., Transformers, CNNs, RNNs) and paradigms (supervised, unsupervised, reinforcement learning), including loss design, hyperparameter tuning, and diagnostic debugging.\n, • 3+ years architecting and scaling distributed, end-to-end ML systems, from production-ready training/evaluation data pipelines to algorithm and infrastructure optimization.\n, • 3+ years managing ML workloads using Docker, Kubernetes, and pipeline orchestration tools (e.g., Kubeflow is a strong plus).\n, • 3+ years applying modern software best practices (CI/CD, version control, automated testing, code reviews) and deploying resilient systems with progressive rollout strategies (blue/green, canary/one-box), monitoring, alerting, and incident response planning.\n, • 1+ years of experience as a technical lead developing ML solutions using industry best practices, patterns, and automation \n, • Authored/co-authored a paper on a ML technique, model, or proof of concept\n\n \n At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer). \n \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n McLean, VA: $197,300 - $225,100 for Machine Learning Engineer 4\n \n New York, NY: $215,200 - $245,600 for Machine Learning Engineer 4\n \n San Jose, CA: $215,200 - $245,600 for Machine Learning Engineer 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job Description Securitas Technology, part of Securitas, is a world-leading provider of integrated security solutions that protect, connect, and optimize businesses of all types and sizes. More than 13,000 colleagues in 40 countries are focused daily on our purpose to help make your world a safer place and our commitment to deliver an unparalleled client experience. With clients at the heart of all we do, our people, knowledge, and technology power our connected ecosystem of health, safety and security solutions and services. We are seeking a detail-oriented Embedded Service Technician to support our Security Technology Services team. This role will work closely with the Senior Security Integration Professional to coordinate projects, provide operational support, and ensure the smooth delivery of integrated security solutions. The ideal candidate will have a solid foundation in CCure, American Dynamic, and Victor technologies, along with strong organizational and communication skills. This is an excellent opportunity for a professional with technical experience who is looking to grow into a leadership position. Responsibilities: • Assist in the scheduling, coordination, and tracking of security integration projects from initiation through completion., • Lead installation, programming, and maintenance of CCure access control systems., • Installation and management of access control and video management servers and systems, including the setup, programming, and configuration., • Integration of related and interconnected systems (e.g. access control, intrusion detection, video management, visitor management)., • Diagnosis and resolution of client issues with security software, CCTV hardware and computer components and software. Provide onsite and remote technical assistance as needed., • Deploy, configure, and troubleshoot cameras, ensuring seamless integration with VMS and access platforms., • Manage and supervise subcontractors and technical staff to ensure quality, compliance, and project timelines are met., • Provide field-level support for networking, programming, and integration challenges., • Serve as a point of contact for clients regarding scheduling, updates, and minor troubleshooting requests., • Coordinate with subcontractors and vendors to ensure timely delivery of materials and services, • Maintain project documentation, including work orders, equipment lists, change orders, daily logs, and status reports., • Performing project specific activities supporting all Centralized Services Minimum Requirements: • Bachelor’s or 4-year Degree in computer science, technology or engineering related field required., • 3–5 years of experience in security system integration, operations, or project coordination., • Advanced certifications in Software House/CCure access control systems, and American Dynamics CCTV systems are required., • Familiarity with access control, surveillance, low-voltage cabling, and electronic locking devices., • Strong organizational skills with the ability to manage multiple priorities simultaneously., • Excellent written and verbal communication skills with a client-focused mindset, • Problem solving methodology and proven analytical ability, • Excellent verbal and written communication skills, • Strong technical skills and understanding of software, networking and systems development, • Ability to act in an autonomous role with little supervision STC offers comprehensive benefits including: • Highly competitive salary, • Company Vehicle, • Medical, Dental, Vision, and Life Insurance, • Company Paid Short Term and Long-Term Disability, • Paid vacation, holiday and sick time, • 401K with 60% Match up to 6% of salary, • Employee assistance programs (EAP), • Company training programs, • Employee growth opportunities, • Leadership development programs, • Educational assistance, • Wide variety of employee discounts on travel, equipment, and more! We are a nationwide provider of security solutions and an equal opportunity employer committed to a diverse workforce. Our core values of Integrity, Vigilance and Helpfulness are proudly demonstrated daily by our employees to our customers and the communities we service.

AI Engineer 5 (Gen AI SDK: Agentic AI, Guardrails, Evaluation)\n \n \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n What You’ll Do: \n\n • Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.\n, • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.\n, • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.\n, • Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems.\n, • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.\n, • Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems\n, • Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency\n, • Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards\n, • Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity\n\n \n The Ideal Candidate: \n\n • You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good\n, • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production\n, • You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven\n, • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss\n, • You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown\n\n \n Basic Qualifications: \n\n • Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies\n, • At least 6 years of experience programming with Python, Go, Scala, CUDA, or Java\n\n \n Preferred Qualifications: \n\n • Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy\n, • 7+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)\n, • Experience designing, developing, delivering, and supporting complex AI systems\n, • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang\n, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost\n, • Experience in building agentic AI systems and agentic workflows\n, • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production\n, • Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers\n, • Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines\n, • Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes\n, • Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression\n, • Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs)\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $229,900 - $262,400 for AI Engineer 5\n \n McLean, VA: $229,900 - $262,400 for AI Engineer 5\n \n New York, NY: $250,800 - $286,200 for AI Engineer 5\n \n San Francisco, CA: $250,800 - $286,200 for AI Engineer 5\n \n San Jose, CA: $250,800 - $286,200 for AI Engineer 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job Description If you are a current YAI employee, please click this link to apply through your Workday account. About the Position: YAI is seeking a qualified Assistant Behavior Intervention Specialist (ABIS) to support our locations in Queens. The Asst. BIS position blends together the Direct Support Professional (DSP) role and a behavioral support role. Under the supervision of the BIS the Asst. BIS will support in educating team members on treatment plans and behavior support plans, assisting with clinical assessments, ensuring data collection, and providing direct feedback and education to all team members. Mission Statement YAI: YAI is a network of agencies offering people with intellectual and developmental disabilities a comprehensive range of services across all ages. YAI empowers people with disabilities to reach their goals every day. Our enthusiastic staff of over 4,000 professionals believes that everyone has a fundamental right to live, love, work, and learn. If you share our vision and want to help support people to live the fullest lives possible, apply to this position. Responsibilities: To provide direct care services as needed. This includes, but is not limited to, the provision of direct counseling, implementation of each individual’s treatment plan, training in ADL skills, assistance with personal care, medical, dietary, social, sexual, recreational, financial, and habilitative, and other needs within the program. To train staff, which includes, but is not limited to, using the EMOE training system to ensure that all clinical interventions are properly implemented, to communicate clinical rationales to the staff, to provide staff with both formal and informal feedback, and role model at all times appropriate tone, implementing of habilitative and behavioral programming, and appropriate data collection techniques Role Model use of person-centered philosophy and use of person-centered tools To develop written, individualized habilitative plans in accordance with the agency philosophy, as determined by individual need. To conduct assessments – both behavioral and habilitative via formal means (written questionnaires, rating scales, baseline data, etc.) and informal (observations), under the supervision of the BIS. To design effective data collection systems that allow progress to be monitored. To monitor the data collection, ensure that the data is totaled and summarized on a monthly basis and that new data sheets are accessible to staff at the beginning of each month. To oversee/maintain the completion of all required paperwork, including monthlies, Person-Centered materials, and ensure that all pertinent information is included on psychiatric anecdotal. To provide the appropriate therapeutically documented level of an individual’s supervision to ensure and protect the individual’s health/safety and well-being. Whenever this level is unclear or unknown, provide the maximum level of supervision to assure and protect the individual’s health and safety. Train new staff on Level 1 competencies. Resource to staff by providing clinical support in absence of the BIS/Supervisor. Lead trainer of weekend staff on clinical interventions Location: Queens, NY Schedule: Sun - Thu 3 pm - 11 pm Full time Evening Education and Experience: BA/BS Degree in Psychology or Human Services is strongly preferred or enrolled in 4-year degree in Psychology or Human Services field. At least one year experience working within the field of I/DD as a Direct Support Professional (DSP). Additional Knowledge, Skills, and Abilities: Exceptional interpersonal, problem solving, and communication skills. Willing to take initiative. Highly flexible to varied work schedule. Experience in computer skills and ability to teach others. College-level writing ability. Must demonstrate assertiveness/leadership skills. Must demonstrate clinical skills Benefits: DailyPay available - Work today, get paid today! Tuition reimbursement Medical/Dental, and Vision Paid Vacation/Holidays and Sick Time 403(b) retirement with employer matching contribution Life Insurance Discounts on travel, entertainment, wireless services, shopping, and more! Compensation: $22.00/hour to $22.00/hour All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or status as a Vietnam or disabled veteran. YAI is an Equal Opportunity Employer.

Job Description If you are a current YAI employee, please click this link to apply through your Workday account. Key/Essential Functions & Responsibilities Responsible for the overall supervision, protection and care of youth supported at all times, including maintenance of program guidelines for the protection of individuals, facilitating learning and training in fire safety and identifying and appropriately escalating signs of an individual’s potential harm to self or others. Provides all services in accordance with agency philosophy and department practices and in compliance with Federal, State, Local and regulatory requirements, specifically NYS Office of Mental Health (OMH) and escalates concerns or questions to supervisor. Supports children in attaining their own unique, behavioral, emotional, intellectual and developmental gains, interacting and intervening as prescribed by individual treatment plans by teaching and fostering skill development, supporting and maximizing strengths, interests and abilities and displaying patience and tolerance while providing therapeutic support to facilitate returns to their homes. Develops an understanding of specific needs of children during their stays, providing support in a variety of settings and in accordance with each youth’s individualized service plan, developing and maintaining appropriate and positive relationships by demonstrating proper social boundaries, actively involving youth in all facets of programming and displaying supportive demeanor and an unconditional positive regard for the youth. Ensures health, wellness and safety of the youth we support by maintaining a physically and emotionally safe, secure, organized and clean therapeutic environment, which includes performing regular laundry and cleaning duties, as needed, providing appropriate supervision and managing crisis situations while adhering to applicable policies, procedures and regulations. Utilizes appropriate therapeutic crisis intervention deescalation techniques and/or prescribed interventions (proximity, time and space, caring gestures, etc.), responding timely and appropriately to redirect or prompt youth experiencing stress and/or self-injurious behavior. Ensures the needs of the youth supported are met by adhering to person-centered individualized plans, supporting therapeutic interventions and activities, encouraging socialization and stabilization and reporting any changes in behavior or other signs and symptoms to clinical and/or leadership team. Assists with a variety of tasks for youth we support, ensuring adherence to applicable and/or mandatory activity schedules as appropriate/authorized, including: Providing or supporting personal care, such as laundry and housekeeping. Assisting with other activities of daily living (ADLs), which may include intimate care or personal hygiene. Observing to ensure that medication is taken as prescribed. Assisting with homework or other remote learning educational activities. Teaching/developing skills. Assisting in communication, self-expression and resolving disputes amongst youth. Providing supervision for and/or planning and preparing balanced meals and snacks in accordance with dietary restrictions and guidelines of modified diets. Transporting and escorting youth on recreational activities, medical appointments and/or to other mandatory activities, such as school, etc. Utilizes safe and appropriate handing procedures when working with youth and implements infection control protocols. Understands behavior as communication and employs person-centered thinking to support positive interactions and prevent further escalation. Collects, records and summarizes data regarding youth supported including charting where prescribed by treatment plan and responses to therapeutic interventions, behaviors, signs, symptoms, setting events, triggers and effective interventions in accordance with all applicable requirements. Completes all paperwork and written records related to individual treatment in appropriate formats, including but not limited to medical and medication management and monitoring, treatment records, progress, behavior and incident reports, data collection, billing records, charting and daily notes accurately, timely and in compliance with all relevant laws, rules and/or regulations. Appropriately documents all interactions with any external entity regarding youth supported, including families and reports errors, incidents or emergencies in compliance with all applicable requirements, including reporting incidents of child maltreatment, neglect and/or abuse. Participates in interdisciplinary team or other program/staff meetings and reviews communication, shift or other logs to receive updates and information relating to treatment plans, program operations and youth supported, including admissions and discharges and regularly provides feedback and information to other members of the team to support stabilization of youth supported. Identifies and reports maintenance, upkeep and/or safety concerns to Program Supervisor or appropriate designee. Completes and maintains all necessary trainings and/or certifications, including specialized trainings such as TCI, to ensure compliance with YAI policies and all applicable rules or regulations and applies skills. Provides coverage for other Therapeutic Youth Support Staff as requested, which may include assisting at an off-site location (e.g. hospital) based on needs of program and/or youth supported and/or remaining on shift to ensure maintenance of minimum coverage levels for program. May be required to operate YAI motor vehicle to transport youth to and/or from residence, school, appointments or other locations in the community on a regular basis, with appropriate credentials. Complies with all Federal, State, Local and other relevant regulatory agency requirements, including the Health Insurance Portability and Accountability Act (HIPAA) and cooperates with appropriate entities in any inspection, inquiry or investigation. Performs all other duties, as assigned. Minimum Qualification Requirements including education, experience, licensure/certification, etc. and essential physical capabilities (e.g. lifting, assisting lifting, standing, etc.) Must be at least 18 years of age. Bachelor’s degree in a human services field; or High School Diploma or its educational equivalent and two (2) years of experience serving individuals with mental or behavioral health needs and/or individuals in crisis; or Satisfactory equivalent combination of education, experience and/or training. Ability to meet essential physical demands of position including frequent walking, sitting, standing, bending, twisting, stooping, kneeling, crouching, pushing, pulling and reaching with hands and arms; use hands to handle, finger or feel objects, tools or controls; assisting with lifting/moving individuals of any weight with assistance of mechanical lifts or other equipment and/or pushing individuals in wheelchairs; lifting and/or moving up to 25 pounds on occasion; having the physical capacity to work with and implement emergency interventions as per the person’s Individual Service Plan if/as needed, including lifting/moving individuals of any weight with or without assistance of equipment and/or other staff, which may include running. Effective written and oral communication skills, including the ability to appropriately document services provided for billing and tracking purposes. Commitment to maintaining the highest levels of ethical standards and integrity and enthusiasm for working with children. Willingness to take initiative and ability to demonstrate positivity, patience, empathy and compassion while supporting youth who are in crisis and to effectively self-regulate emotions in stressful situations. Ability and willingness to assist with a variety of supports and ADLs as requested, which may include exposure to and/or handling of bodily fluids. Basic computer skills, including email, utilizing Workday and related electronic medical record and/or other documentation systems to complete tasks. Must hold or obtain and maintain or complete all program-specific trainings and/or certifications in accordance with individualized needs, conditions and/or OMH regulations, as assigned by supervisor. Ability to develop and maintain effective and appropriate relationships with youth supported, in alignment with YAI’s mission and vision. Ability to remain calm and to exercise good judgment and problem-solving ability during unanticipated challenges that relate to safety and security issues. Ability to work beyond regularly scheduled hours/shift and/or to report to work as scheduled on holidays, in inclement weather or during other emergencies to maintain minimum coverage requirements of program, unless otherwise authorized. Preferred Qualification Requirements (desired requirements beyond MQRs above) Valid Driver’s License Familiarity with behavioral/mental health diagnoses Experience working with children in crisis or with mental/behavioral health needs and/or in a residential services setting Compensation: $22.00 hourly All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or status as a Vietnam or disabled veteran. YAI is an Equal Opportunity Employer. To ensure fairness, safeguard transparency, and promote an equitable workforce environment, YAI Network prohibits the practice of nepotism in the workforce and hiring process.

Job Description If you are a current YAI employee, please click this link to apply through your Workday account. YAI supports people of all ages with intellectual and developmental disabilities (I/DD) in achieving the fullest lives possible by creating new opportunities for living, loving, working, and learning. YAI is a network of agencies with programs that empower and enhance the lives of thousands of people with I/DD and their families. YAI promotes a person-centered approach to support people in our programs by creating plans catered to the specific needs of each individual. Join our dynamic team teaching daily and independent living skills, providing individual and group counseling, and promoting community integration. We are hiring for our Full-Time Assistant Behavior Intervention Specialist position at our Bay Ridge 3 IRA. Job Description The ABIS works directly with people in their home, work, and daily lives in varying capacities. An ABIS must have previously worked as a Direct Support Professional, completed all the required trainings, and demonstrated all the knowledge, skills, and accountabilities of a DSP Level three. The ABIS position blends together the DSP role and the clinical leadership role. Clinical leadership under the supervision of the BIS includes educating team members on habilitation and Behavior Support Plans, assisting with clinical assessments, ensuring data collection, and providing direct feedback and education to all team members. YAI is a network of agencies offering people with intellectual and developmental disabilities a comprehensive range of services across all ages. YAI empowers people with disabilities to reach their goals every day. Our enthusiastic staff of over 4,000 professionals believes that everyone has a fundamental right to live, love, work, and learn. If you share our vision and want to help support people to live the fullest lives possible, apply to this position. Schedule: • Sunday - Thursday 3:00pm - 11:00pm Key Responsibilities: • To provide direct care services as needed. This includes, but is not limited to, the provision of direct counseling, implementation of each individual’s treatment plan, training in ADL skills, assistance with personal care, medical, dietary, social, sexual, recreational, financial, habilitative and other needs within the program., • To train staff, which includes, but is not limited to, using the EMOE training system to ensure that all clinical interventions are properly implemented, to communicate clinical rationales to the staff, to provide staff with both formal and informal feedback, and role model at all times appropriate tone, implementing of habilitative and behavioral programming, and appropriate data collection techniques., • To role model the use of person-centered philosophy and person-centered tools., • To develop written, individualized habilitative plans in accordance with the agency philosophy, as determined by individual need., • To conduct assessments, both behavioral and habilitative, via formal means (written questionnaires, rating scales, baseline data, etc.) and informal means (observations), under the supervision of the BIS., • To design effective data collection systems that allows progress to be monitored., • To monitor the data collection, ensure that the data is totaled and summarized on a monthly basis, and that new data sheets are accessible to staff at the beginning of each month., • To oversee/maintain the completion of all required paperwork, including monthlies, Person-Centered materials, and ensure that all pertinent information is included on psychiatric anecdotals., • To provide the appropriate therapeutically documented level of an individual’s supervision to ensure and protect the individual’s health/safety and well-being. Whenever this level is unclear or unknown, to provide the maximum level of supervision to assure and protect the individual’s health and safety., • To train new staff on Level 1 competencies., • Be a Resource to staff by providing clinical support in absence of the BIS/Supervisor, • Be the lead trainer of weekend staff on clinical interventions. Education and Experience: • BA/BS Degree in Psychology or Human Services OR Enrolled in 4-year degree in Psychology or Human Services field, • Experience working within the field of I/DD Additional Knowledge, Skills, and Abilities: • Exceptional interpersonal, problem solving and communication skills, • Must demonstrate clinical skills., • Willing to take initiative, • Highly flexible to varied work schedule, • Experience in computer skills and ability to teach others, • Strong writing ability, • Must demonstrate assertiveness/leadership skills Compensation: • $23.10 - $23.10 / hour YAI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or status as a Vietnam or disabled veteran. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or status as a Vietnam or disabled veteran. YAI is an Equal Opportunity Employer. To ensure fairness, safeguard transparency, and promote an equitable workforce environment, YAI Network prohibits the practice of nepotism in the workforce and hiring process.

Job Description If you are a current YAI employee, please click this link to apply through your Workday account. Key/Essential Functions & Responsibilities Responsible for the overall supervision, protection and care of youth supported at all times, including maintenance of program guidelines for the protection of individuals, facilitating learning and training in fire safety and identifying and appropriately escalating signs of an individual’s potential harm to self or others. Provides all services in accordance with agency philosophy and department practices and in compliance with Federal, State, Local and regulatory requirements, specifically NYS Office of Mental Health (OMH) and escalates concerns or questions to supervisor. Supports children in attaining their own unique, behavioral, emotional, intellectual and developmental gains, interacting and intervening as prescribed by individual treatment plans by teaching and fostering skill development, supporting and maximizing strengths, interests and abilities and displaying patience and tolerance while providing therapeutic support to facilitate returns to their homes. Develops an understanding of specific needs of children during their stays, providing support in a variety of settings and in accordance with each youth’s individualized service plan, developing and maintaining appropriate and positive relationships by demonstrating proper social boundaries, actively involving youth in all facets of programming and displaying supportive demeanor and an unconditional positive regard for the youth. Ensures health, wellness and safety of the youth we support by maintaining a physically and emotionally safe, secure, organized and clean therapeutic environment, which includes performing regular laundry and cleaning duties, as needed, providing appropriate supervision and managing crisis situations while adhering to applicable policies, procedures and regulations. Utilizes appropriate therapeutic crisis intervention deescalation techniques and/or prescribed interventions (proximity, time and space, caring gestures, etc.), responding timely and appropriately to redirect or prompt youth experiencing stress and/or self-injurious behavior. Ensures the needs of the youth supported are met by adhering to person-centered individualized plans, supporting therapeutic interventions and activities, encouraging socialization and stabilization and reporting any changes in behavior or other signs and symptoms to clinical and/or leadership team. Assists with a variety of tasks for youth we support, ensuring adherence to applicable and/or mandatory activity schedules as appropriate/authorized, including: Providing or supporting personal care, such as laundry and housekeeping. Assisting with other activities of daily living (ADLs), which may include intimate care or personal hygiene. Observing to ensure that medication is taken as prescribed. Assisting with homework or other remote learning educational activities. Teaching/developing skills. Assisting in communication, self-expression and resolving disputes amongst youth. Providing supervision for and/or planning and preparing balanced meals and snacks in accordance with dietary restrictions and guidelines of modified diets. Transporting and escorting youth on recreational activities, medical appointments and/or to other mandatory activities, such as school, etc. Utilizes safe and appropriate handing procedures when working with youth and implements infection control protocols. Understands behavior as communication and employs person-centered thinking to support positive interactions and prevent further escalation. Collects, records and summarizes data regarding youth supported including charting where prescribed by treatment plan and responses to therapeutic interventions, behaviors, signs, symptoms, setting events, triggers and effective interventions in accordance with all applicable requirements. Completes all paperwork and written records related to individual treatment in appropriate formats, including but not limited to medical and medication management and monitoring, treatment records, progress, behavior and incident reports, data collection, billing records, charting and daily notes accurately, timely and in compliance with all relevant laws, rules and/or regulations. Appropriately documents all interactions with any external entity regarding youth supported, including families and reports errors, incidents or emergencies in compliance with all applicable requirements, including reporting incidents of child maltreatment, neglect and/or abuse. Participates in interdisciplinary team or other program/staff meetings and reviews communication, shift or other logs to receive updates and information relating to treatment plans, program operations and youth supported, including admissions and discharges and regularly provides feedback and information to other members of the team to support stabilization of youth supported. Identifies and reports maintenance, upkeep and/or safety concerns to Program Supervisor or appropriate designee. Completes and maintains all necessary trainings and/or certifications, including specialized trainings such as TCI, to ensure compliance with YAI policies and all applicable rules or regulations and applies skills. Provides coverage for other Therapeutic Youth Support Staff as requested, which may include assisting at an off-site location (e.g. hospital) based on needs of program and/or youth supported and/or remaining on shift to ensure maintenance of minimum coverage levels for program. May be required to operate YAI motor vehicle to transport youth to and/or from residence, school, appointments or other locations in the community on a regular basis, with appropriate credentials. Complies with all Federal, State, Local and other relevant regulatory agency requirements, including the Health Insurance Portability and Accountability Act (HIPAA) and cooperates with appropriate entities in any inspection, inquiry or investigation. Performs all other duties, as assigned. Minimum Qualification Requirements including education, experience, licensure/certification, etc. and essential physical capabilities (e.g. lifting, assisting lifting, standing, etc.) Must be at least 18 years of age. Bachelor’s degree in a human services field; or High School Diploma or its educational equivalent and two (2) years of experience serving individuals with mental or behavioral health needs and/or individuals in crisis; or Satisfactory equivalent combination of education, experience and/or training. Ability to meet essential physical demands of position including frequent walking, sitting, standing, bending, twisting, stooping, kneeling, crouching, pushing, pulling and reaching with hands and arms; use hands to handle, finger or feel objects, tools or controls; assisting with lifting/moving individuals of any weight with assistance of mechanical lifts or other equipment and/or pushing individuals in wheelchairs; lifting and/or moving up to 25 pounds on occasion; having the physical capacity to work with and implement emergency interventions as per the person’s Individual Service Plan if/as needed, including lifting/moving individuals of any weight with or without assistance of equipment and/or other staff, which may include running. Effective written and oral communication skills, including the ability to appropriately document services provided for billing and tracking purposes. Commitment to maintaining the highest levels of ethical standards and integrity and enthusiasm for working with children. Willingness to take initiative and ability to demonstrate positivity, patience, empathy and compassion while supporting youth who are in crisis and to effectively self-regulate emotions in stressful situations. Ability and willingness to assist with a variety of supports and ADLs as requested, which may include exposure to and/or handling of bodily fluids. Basic computer skills, including email, utilizing Workday and related electronic medical record and/or other documentation systems to complete tasks. Must hold or obtain and maintain or complete all program-specific trainings and/or certifications in accordance with individualized needs, conditions and/or OMH regulations, as assigned by supervisor. Ability to develop and maintain effective and appropriate relationships with youth supported, in alignment with YAI’s mission and vision. Ability to remain calm and to exercise good judgment and problem-solving ability during unanticipated challenges that relate to safety and security issues. Ability to work beyond regularly scheduled hours/shift and/or to report to work as scheduled on holidays, in inclement weather or during other emergencies to maintain minimum coverage requirements of program, unless otherwise authorized. Preferred Qualification Requirements (desired requirements beyond MQRs above) Valid Driver’s License Familiarity with behavioral/mental health diagnoses Experience working with children in crisis or with mental/behavioral health needs and/or in a residential services setting Compensation: $22.00 hourly All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or status as a Vietnam or disabled veteran. YAI is an Equal Opportunity Employer. To ensure fairness, safeguard transparency, and promote an equitable workforce environment, YAI Network prohibits the practice of nepotism in the workforce and hiring process.

AI Engineer 5 (MLX, Agentic AI, Gen AI platform Services)\n \n \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n \n What You’ll Do: \n \n\n • Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.\n, • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.\n, • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.\n, • Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems.\n, • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.\n, • Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems\n, • Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency\n, • Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards\n, • Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity\n\n \n The Ideal Candidate: \n \n\n • You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good\n, • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production\n, • You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven\n, • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss\n, • You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown\n\n \n \n Basic Qualifications: \n \n \n\n • Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies\n, • At least 6 years of experience programming with Python, Go, Scala, CUDA, or Java\n\n \n \n \n Preferred Qualifications: \n \n \n\n • Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy\n, • 7+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)\n, • Experience designing, developing, delivering, and supporting complex AI systems\n, • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang\n, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost\n, • Experience in building agentic AI systems and agentic workflows\n, • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production\n, • Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers\n, • Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines\n, • Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes\n, • Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression\n, • Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs)\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n McLean, VA: $229,900 - $262,400 for AI Engineer 5\n \n Cambridge, MA: $229,900 - $262,400 for AI Engineer 5\n \n New York, NY: $250,800 - $286,200 for AI Engineer 5\n \n San Francisco, CA: $250,800 - $286,200 for AI Engineer 5\n \n San Jose, CA: $250,800 - $286,200 for AI Engineer 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

AI Engineer 5\n \n \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n What You’ll Do: \n\n • Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.\n, • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.\n, • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.\n, • Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems.\n, • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.\n, • Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems\n, • Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency\n, • Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards\n, • Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity\n\n \n The Ideal Candidate: \n\n • You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good\n, • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production\n, • You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven\n, • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss\n, • You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown\n\n \n Basic Qualifications: \n\n • Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies\n, • At least 6 years of experience programming with Python, Go, Scala, CUDA, or Java\n\n \n Preferred Qualifications: \n\n • Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy\n, • 7+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)\n, • Experience designing, developing, delivering, and supporting complex AI systems\n, • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang\n, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost\n, • Experience in building agentic AI systems and agentic workflows\n, • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production\n, • Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers\n, • Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines\n, • Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes\n, • Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression\n, • Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs)\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $229,900 - $262,400 for AI Engineer 5\n \n McLean, VA: $229,900 - $262,400 for AI Engineer 5\n \n New York, NY: $250,800 - $286,200 for AI Engineer 5\n \n San Francisco, CA: $250,800 - $286,200 for AI Engineer 5\n \n San Jose, CA: $250,800 - $286,200 for AI Engineer 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

AI Engineer 5 (FM Hosting, LLM Inference)\n \n \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n What You’ll Do: \n\n • Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.\n, • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.\n, • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.\n, • Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems.\n, • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.\n, • Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems\n, • Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency\n, • Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards\n, • Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity\n\n \n The Ideal Candidate: \n\n • You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good\n, • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production\n, • You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven\n, • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss\n, • You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown\n\n \n Basic Qualifications: \n\n • Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies\n, • At least 6 years of experience programming with Python, Go, Scala, CUDA, or Java\n\n \n Preferred Qualifications: \n\n • Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy\n, • 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)\n, • Experience designing, developing, delivering, and supporting complex AI systems\n, • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang\n, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost\n, • Experience in building agentic AI systems and agentic workflows\n, • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production\n, • Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers\n, • Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines\n, • Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes\n, • Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression\n, • Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs)\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $229,900 - $262,400 for AI Engineer 5\n \n McLean, VA: $229,900 - $262,400 for AI Engineer 5\n \n New York, NY: $250,800 - $286,200 for AI Engineer 5\n \n San Jose, CA: $250,800 - $286,200 for AI Engineer 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job Description Job Title: Entry IT Support Specialist We are seeking an Entry IT Support Specialist to help maintain and troubleshoot the company's technical systems and support smooth day-to-day IT operations. This is an entry-level role: you will start with hands-on IT support and equipment management, and grow into more advanced work over time. We actively use AI tools in our daily work, so comfort with AI assistants is part of the job from day one. Who Thrives in This Role: You like being the person others come to when something stops working. In a given week, you might set up a new hire's laptop, sort out a printer problem, add someone to a Google Group, tidy up the asset list, and work out how an AI assistant can take a repetitive task off a colleague's plate. You try new tools on your own before anyone asks you to, and you would rather ask a question than guess. When something lands on your desk, you stay with it until it is closed — and you tell people where it stands before they have to ask. This role is probably not for you if you want a narrow, well-defined ticket queue with no interruptions. Responsibility Areas: • Provide first-line IT support for hardware, software, and network issues (laptops, desktops, printers, peripherals), and resolve support tickets within SLA guidelines., • Track and manage the inventory of IT equipment and assets (monitors, computers, peripherals), including setup, upgrades, and replacements., • Administer and troubleshoot the Google Workspace environment (Gmail, Drive, Sheets, Groups) at the account and user level., • Maintain and update troubleshooting documentation for common issues, and assist with routine system maintenance, security updates, and backup/recovery procedures., • Help maintain reporting dashboards in Google Data Studio (simple edits such as adding or adjusting tables and fields)., • Leverage AI assistants (e.g., Claude, ChatGPT, Gemini) to speed up troubleshooting, documentation, and scripting, and collaborate with the IT team to improve support workflows. Growth Path: As you build experience, you will grow into more advanced responsibilities, including maintaining and enhancing our in-house ERP system (built with TypeScript and React), developing internal automation and tools, and expanding our reporting and data pipelines. Minimum Qualifications: • Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent experience)., • 0 to 1+ years of experience in IT support or a similar role (entry-level candidates welcome)., • Proficiency in troubleshooting hardware and software issues across Windows and macOS., • Working knowledge of Google Workspace and basic networking concepts (LAN/WAN, VPN, firewalls)., • Familiarity with at least one programming language (JavaScript/TypeScript, Python, or Java); JavaScript/TypeScript is a plus., • Comfortable using AI assistants (e.g., Claude, ChatGPT) in daily work for drafting, debugging, and problem-solving., • Patient and approachable, willing to explain the same thing more than once, and clear in both spoken and written communication., • Ability to get up to speed on unfamiliar tools without step-by-step direction, and to own a request from intake to closure — keeping the requester informed and escalating clearly when needed., • Bilingual proficiency in English and Korean — you will support colleagues who are more comfortable in one or the other, and you can explain a technical fix plainly in both., • Willingness and flexibility to take on a broad range of IT-related and general support tasks as needed, including hands-on and ad-hoc duties. Preferred Qualifications: • Exposure to AI coding-assistant CLIs (e.g., Claude Code, Codex, Gemini CLI) and structured prompt design., • Exposure to GCP (Google Cloud Platform) and basic database concepts (MySQL, PostgreSQL)., • Experience with TypeScript, React, or Next.js., • Experience building dashboards in Google Data Studio or similar BI tools., • Interest in logistics, supply chain, or manufacturing environments., • Relevant certifications (CompTIA A+, Google IT Support, etc.). Work Hours: Full-Time (Monday – Friday, 8:30 AM – 5:30 PM) Benefits: At USP, we believe great work deserves great support. Our benefits are designed to promote your health, growth, and well-being: • Comprehensive medical, dental, and vision insurance, • Paid vacation, sick leave, and company holidays, • Performance-based bonus opportunities, • Employee recognition and years-of-service awards, • Education and professional development reimbursement, • Daily meal allowance, • Company-sponsored team lunches and dinners, • Fitness membership reimbursement, • Company-sponsored team-building and recreational activities, • Employee birthday gifts USP is an Equal Opportunity/Affirmative Action Employer — M/F/Disabled/Vets. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.

Job Description Senior Help Desk Technician Employment Type: Full Time Department: Help Desk CGS seeks a Senior Help Desk Technician to fulfill the requirements of Level 1 & 2 Help Desk (PC Assist) support services to end users consisting of senior management, attorneys, support staff, contractors, and associated systems for the Executive Office for the United States Attorneys (EOUSA). CGS brings motivated, highly skilled, and creative people together to solve the government’s most dynamic problems with cutting-edge technology. To carry out our mission, we are seeking candidates who are excited to contribute to government innovation, appreciate collaboration, and can anticipate the needs of others. Here at CGS, we offer an environment in which our employees feel supported, and we encourage professional growth through various learning opportunities. Skills and attributes for success: - Backup/Restoration admin/support - File Server support - User Account/Mailbox administration - Software/Hardware installation - Handheld device installation/troubleshooting/support - Remote User setup/support/troubleshooting - End-user training - Creation of procedural documentation - Creation of spreadsheets/databases for tracking purposes - Record and update required information for all IT-related tickets utilizing ITIL - Creation of Incident work-log entries - Accurately answer user support questions of software and hardware in the EOUSA office environment - Maintain Account Management forms for new and departed users per Government policy and procedures - Produce proactive reports, trending analysis, service level reporting, process consultation and application of ITIL best practices - Conduct and maintain accountable IT inventories such as laptops, desktops, tablet PCs, printers, MFPs’ accessories, IT supplies, etc. using spreadsheets - Provide desk-side training for new employees and staff, consisting of basic instructions on accessing and using standard desktop applications (e.g. e-Mail, Microsoft Office, etc) and how to access available research database applications - Submit weekly status reports and monthly surveys - Set up and support conference and training rooms for presentations including, audio systems, video systems, A/V distribution systems, computer hardware and software, control programming, microphones, amplifiers, encrypted wireless microphone systems, digital recording and computer/video interface - Utilize online meeting applications such as Adobe Connect to support hardware set-up of microphones and webcams, set-up operations for audio mixing boards and facilitate/monitor/record online meeting sessions Qualifications: - One year or more Adobe Connect or related online meeting center set-up experience. Non-Required, advantageous additional knowledge, experience, or competency considered favorable assets shall include: - ITIL Foundations certification - Change Management experience - Active DOD clearance of Level 6 Public Trust or above Our Commitment: Contact Government Services (CGS) strives to simplify and enhance government bureaucracy through the optimization of human, technical, and financial resources. We combine cutting-edge technology with world-class personnel to deliver customized solutions that fit our client’s specific needs. We are committed to solving the most challenging and dynamic problems. For the past seven years, we’ve been growing our government-contracting portfolio, and along the way, we’ve created valuable partnerships by demonstrating a commitment to honesty, professionalism, and quality work. Here at CGS we value honesty through hard work and self-awareness, professionalism in all we do, and to deliver the best quality to our consumers mending those relations for years to come. We care about our employees. Therefore, we offer a comprehensive benefits package: - Health, Dental, and Vision - Life Insurance - 401k - Flexible Spending Account (Health, Dependent Care, and Commuter) - Paid Time Off and Observance of State/Federal Holidays Contact Government Services, LLC is an Equal Opportunity Employer. Applicants will be considered without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Join our team and become part of government innovation! Explore additional job opportunities with CGS on our Job Board: https://cgsfederal.com/join-our-team/ For more information about CGS please visit: https://www.cgsfederal.com or contact: Email: info@cgsfederal.com #CJ We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionJob Description: I came across your background and wanted to reach out regarding a full-time opportunity for a Lead Embedded Software Engineer (Technical Lead). This role is ideal for professionals with strong experience in embedded software development and technical leadership within complex engineering environments. Key Skills & Experience: • 10+ years of embedded software development, • Modern C++ programming, • Real-Time Operating Systems (RTOS) such as VxWorks or Green Hills Integrity, • Hardware/Software Integration and Debugging, • Object-Oriented Design and UML (IBM Rhapsody, Cameo, or MagicDraw), • Technical leadership, project planning, and software development lifecycle (SDLC), • Experience with EVMS is a plus, • Active DoD Secret Clearance and U.S. Citizenship are required Education: • Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field

Job Description Senior Help Desk Technician II Employment Type: Full Time Department: Help Desk CGS seeks a Senior Help Desk Technician to fulfill the requirements of Level 1 & 2 Help Desk (PC Assist) support services to end users consisting of senior management, attorneys, support staff, contractors, and associated systems for the Executive Office for the United States Attorneys (EOUSA). CGS brings motivated, highly skilled, and creative people together to solve the government’s most dynamic problems with cutting-edge technology. To carry out our mission, we are seeking candidates who are excited to contribute to government innovation, appreciate collaboration, and can anticipate the needs of others. Here at CGS, we offer an environment in which our employees feel supported, and we encourage professional growth through various learning opportunities. Skills and attributes for success: - Backup/Restoration admin/support - File Server support - User Account/Mailbox administration - Software/Hardware installation - Handheld device installation/troubleshooting/support - Remote User setup/support/troubleshooting - End-user training - Creation of procedural documentation - Creation of spreadsheets/databases for tracking purposes - Record and update required information for all IT-related tickets utilizing ITIL - Creation of Incident work-log entries - Accurately answer user support questions of software and hardware in the EOUSA office environment - Maintain Account Management forms for new and departed users per Government policy and procedures - Produce proactive reports, trending analysis, service level reporting, process consultation and application of ITIL best practices - Conduct and maintain accountable IT inventories such as laptops, desktops, tablet PCs, printers, MFPs’ accessories, IT supplies, etc. using spreadsheets - Provide desk-side training for new employees and staff, consisting of basic instructions on accessing and using standard desktop applications (e.g. e-Mail, Microsoft Office, etc) and how to access available research database applications - Submit weekly status reports and monthly surveys - Set up and support conference and training rooms for presentations including, audio systems, video systems, A/V distribution systems, computer hardware and software, control programming, microphones, amplifiers, encrypted wireless microphone systems, digital recording and computer/video interface - Utilize online meeting applications such as Adobe Connect to support hardware set-up of microphones and webcams, set-up operations for audio mixing boards and facilitate/monitor/record online meeting sessions Qualifications: - One year or more Adobe Connect or related online meeting center set-up experience. Non-Required, advantageous additional knowledge, experience, or competency considered favorable assets shall include: - ITIL Foundations certification - Change Management experience - Active DOD clearance of Level 6 Public Trust or above Our Commitment: Contact Government Services (CGS) strives to simplify and enhance government bureaucracy through the optimization of human, technical, and financial resources. We combine cutting-edge technology with world-class personnel to deliver customized solutions that fit our client’s specific needs. We are committed to solving the most challenging and dynamic problems. For the past seven years, we’ve been growing our government-contracting portfolio, and along the way, we’ve created valuable partnerships by demonstrating a commitment to honesty, professionalism, and quality work. Here at CGS we value honesty through hard work and self-awareness, professionalism in all we do, and to deliver the best quality to our consumers mending those relations for years to come. We care about our employees. Therefore, we offer a comprehensive benefits package: - Health, Dental, and Vision - Life Insurance - 401k - Flexible Spending Account (Health, Dependent Care, and Commuter) - Paid Time Off and Observance of State/Federal Holidays Contact Government Services, LLC is an Equal Opportunity Employer. Applicants will be considered without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Join our team and become part of government innovation! Explore additional job opportunities with CGS on our Job Board: https://cgsfederal.com/join-our-team/ For more information about CGS please visit: https://www.cgsfederal.com or contact: Email: info@cgsfederal.com #CJ We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionJCFPL JOB TITLE: Computer Learning Resource Center Specialist LOCATION: Miller Branch REPORTS TO: South Regional Manager CIVIL SERVICE JOB TITLE: Program Specialist 2 STARTING SALARY RANGE: $65,834 - $70,782 per year FULL-TIME/PART-TIME: Full-Time WORKWEEK: 9:00 a.m. to 8:00 p.m. (35 hours/week). May be required to work evenings and weekends as needed. APPLICATION DEADLINE: September 17, 2026 BENEFIT SUMMARY: This summary outlines the general benefits available to library employees, designed to support their health, financial security, and work-life balance. Benefits available to Full-Time Employees: Medical coverage 60 days from the first day of employment, Prescription coverage is the first of the month following 60 days of employment at no cost to the employee and additional cost per each dependent added. Dental coverage is provided at no cost 60 days after the first day of employment. Vision coverage is provided at no cost and reimbursed at $250.00 per year. Additional Full-Time benefits include Life & AD&D insurance, 403(b), participation in a pension plan (dependent on age at the time of hire date). A more detailed summary can be found on our Employment Opportunities page located at www.jclibrary.org. JCFPL is the largest municipal library in the State of New Jersey, with ten locations and growing, and a collection comprising over 2.5 million print and digital items. Our staff of nearly 120 dedicated individuals serves the residents, students, and workers of Jersey City: the largest city in Hudson County, N.J., and the second-largest city in New Jersey. The staff of JCFPL reflects the cultural and linguistic diversity of Jersey City, which is consistently ranked as the most diverse community in the United States. Collectively, our staff speaks over 16 languages, including English, Spanish, Arabic, Hindi, Tagalog, Gujarati, Marathi, Igbo, Portuguese, and others. JCFPL is committed to building on our strong foundation and expanding our ability to meet the needs of Jersey City’s growing and increasingly diverse community. ABOUT THE ROLE: Under general supervision, the Computer Learning Resource Center Specialist is responsible for the planning, coordination, and delivery of technology-based educational services at the Miller Branch Computer Learning Resource Center. The incumbent provides ongoing software and digital literacy training, manages technology resources, conducts data-driven outreach, and develops community partnerships that expand access to services and support revenue-generating programming. This position requires professional-level technical knowledge, instructional expertise, analytical skills, and strong community engagement capacity. JOB DUTIES: • Develop and deliver ongoing instructional programs in computer literacy, productivity software, cloud-based platforms, and emerging digital tools., • Conduct individual and group training sessions for patrons, staff, and partner organizations., • Maintain professional competency through continuous training in evolving software applications and technologies., • Researches funding sources, develops and reviews grant applications, and writes proposals; negotiates and monitors contracts or grants., • Coordinate daily operations of the Computer Learning Resource Center., • Monitor and maintain computer hardware, software, and peripheral equipment., • Ensure compliance with library technology policies and security standards., • Provide technical assistance and basic troubleshooting support., • Collect, analyze, and interpret data related to program attendance, community usage, and service outcomes., • Prepare administrative, statistical, and evaluative reports., • Conduct data-driven outreach in surrounding neighborhoods and service areas., • Establish partnerships with educational institutions, workforce agencies, nonprofit organizations, and community groups., • Promote use of the Computer Learning Resource Center as a training and professional development venue., • Assist in developing collaborative programs and service models that generate revenue through agency and organizational partnerships., • Support grant-funded and fee-based initiatives in coordination with administration., • Monitor participation, outcomes, and financial performance of programs., • Conducts surveys or other studies to help identify program needs., • Provide technical guidance and training to branch staff., • Participate in system-wide technology initiatives., • Collaborate with librarians and administrators to integrate technology services into library programming., • Prepares charts, tables and/or other graphic representations needed for the planning, operation and implementation of program activities., • Maintain accurate records of trainings, equipment, partnerships, and expenditures., • Attend required meetings, trainings and professional development sessions., • Represent the Library in a professional manner in community and partner settings., • Maintains essential records, reports and files., • Perform other duties as assigned REQUIRED EXPERIENCE/EDUCATION: NOTE: Applicants must meet one of the following or a combination of both experience and education. Thirty (30) semester hour credits are equal to one (1) year of relevant experience. • Six (6) years of professional experience in planning, monitoring, coordinating, implementing, modifying, and/or evaluating agency programs and services.OR, • Possession of a bachelor's degree from an accredited college or university; and two (2) years of the above-mentioned professional experience.OR, • Possession of a master's degree from an accredited college or university in a discipline appropriate to the position; and one (1) year of the above-mentioned professional experience. ADDITIONAL RELEVANT SKILLS: • Knowledge of library administration and management techniques., • Ability to manage and administer a library program., • Ability to analyze, comprehend, and utilize approved public library standards, methods, techniques, budgeting systems, classification and pay plans., • Knowledge of Jersey City’s population, geography, and/or local government., • Facility in a non-English language spoken in Jersey City (such as Spanish, Hindi, Arabic, Tagalog, etc.). NOTES: For all employees, regardless of full-time or part-time status, JCFPL is considered the primary employer. Work hours are assigned according to the Library’s operational needs. Work hours are not scheduled to accommodate employees’ other employment, academic, or other outside obligations, except in circumstances agreed upon in writing by the employee and the employee’s supervisor. This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required for the employee for this job. The omission of specific statements of duties does not exclude them from the position if work is similar, related, or a logical assignment to the position. This job description is associated with a N.J. Civil Service job title; the New Jersey Civil Service Commission requires all incumbents to possess and be prepared to verify the minimum experience and skills required for the associated Civil Service job title. This vacancy is associated with a New Jersey Civil Service job title. The New Jersey Civil Service Commission requires all incumbents to possess and be prepared to verify the minimum experience and skills required for the associated Civil Service job title. This position is subject to residency requirements as set forth in the New Jersey First Act and not available for work visa sponsorship. 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Job Description IT Help Desk Technician I Full-Time, Non-Exempt · New York, NY · Reports to: Director, Digital Projects ABOUT JAZZ AT LINCOLN CENTER The mission of Jazz at Lincoln Center is to entertain, enrich and expand a global community for jazz through performance, education, and advocacy. We believe jazz is a metaphor for Democracy. Because jazz is improvisational, it celebrates personal freedom and encourages individual expression. Because jazz is swinging, it dedicates that freedom to finding and maintaining common ground with others. Because jazz is rooted in the blues, it inspires us to face adversity with persistent optimism. Jazz is one of America’s most profound and enduring cultural contributions, inseparable from the story of this country, its history, its struggles, its democratic ideals, and its continuing evolution. We are stewards of that legacy. The three pillars of our work—performance, education, and advocacy—are one mission expressed three ways, each reinforcing and requiring the other two. You cannot perform without honoring the history that gives the music meaning. You cannot educate without the conviction that what you are teaching deserves to outlast you. You cannot advocate without the lived experience of the art itself. We look for people who feel that wholeness in full, across all three pillars. POSITION DESCRIPTION The IT Help Desk Technician I serves as the first point of contact for employees requiring technical assistance and is responsible for providing timely, professional, and effective support for day-to-day technology needs. The position provides frontline support for computer hardware, software, user accounts, network connectivity, printers, mobile devices, audiovisual equipment, and other technology used throughout the organization. The IT Help Desk Technician I receives, documents, troubleshoots, and resolves technical issues using established procedures, available support resources, and independent troubleshooting. The Technician is expected to take ownership of support requests through resolution whenever possible and to research and troubleshoot unfamiliar issues within the scope of the position. When an issue requires specialized expertise, elevated administrative access, vendor intervention, or changes to core systems or infrastructure, the Technician will escalate the issue to the appropriate resource, including the Network Administrator, SaaS support resources, or Director of Information Technology. The Technician is responsible for ensuring that relevant troubleshooting, user impact, and supporting information are documented and communicated as part of the escalation. The IT Help Desk Technician I also supports employee onboarding and offboarding, workstation deployment, user account administration, software installation, endpoint maintenance, routine system administration, and technology upgrades. The position participates in and executes approved maintenance procedures, including software updates, patches, system upgrades, and other scheduled Technology activities. KEY RESPONSIBILITIES • Serve as the first point of contact for Technology support requests received through the help desk system, email, phone, or in person, ensuring requests are acknowledged, prioritized, and accurately documented., • Take ownership of support requests through resolution whenever possible, performing appropriate troubleshooting, research, testing, and follow-up., • Diagnose and resolve hardware, software, operating system, application, printing, account access, connectivity, peripheral, and other common end-user technology issues., • Provide support for common user issues including password resets, account access, software installation, application configuration, Wi-Fi and network connectivity, printers, email, and collaboration tools., • Create, update, prioritize, and maintain support tickets with clear documentation of reported problems, troubleshooting performed, communications with users, and final resolutions., • Escalate issues requiring specialized expertise, elevated administrative access, vendor assistance, or changes to core infrastructure to the appropriate resource, including the Network Administrator, SaaS support resources, or Director of Information Technology., • Ensure escalated issues include clear documentation of the reported problem, user impact, troubleshooting performed, results, and other information necessary for the receiving resource to continue troubleshooting efficiently., • Maintain visibility of escalated tickets as appropriate, communicating status and resolution information to affected users and following up to confirm successful resolution., • Support employee onboarding, offboarding, and role changes, including account provisioning and deactivation, access and permission changes, workstation preparation, software installation, and equipment deployment., • Configure, deploy, maintain, and troubleshoot desktops, laptops, mobile devices, printers, peripherals, conference room technology, and other end-user equipment., • Perform routine user account and access administration according to established authorization, security, and access-control procedures., • Participate in and execute approved maintenance procedures, including operating system and application updates, security patches, software deployments, endpoint configuration changes, and scheduled system upgrades., • Assist with routine system administration and operational Technology tasks according to established procedures, including endpoint management, software deployment, device configuration, account administration, and system monitoring., • Monitor maintenance and deployment activities and escalate failed updates, unexpected behavior, service interruptions, cybersecurity concerns, or other issues requiring additional investigation., • Provide support for conference rooms, audiovisual equipment, video conferencing platforms, presentations, and other meeting technology., • Maintain accurate hardware, software, and equipment records and assist with inventory management and lifecycle tracking of organizational technology assets., • Maintain accurate records within the help desk and asset management systems, including troubleshooting activities, resolutions, equipment assignments, and relevant system changes., • Develop and maintain Technology documentation, standard operating procedures, troubleshooting guides, knowledge base articles, and frequently asked questions to improve support consistency and facilitate efficient resolution of common issues., • Identify recurring technical issues and communicate trends, potential root causes, documentation gaps, and opportunities for process or technology improvements to the Technology team., • Provide clear and professional communication to users throughout the support process and explain technical issues and solutions in language appropriate for non-technical users., • Follow organizational Technology policies and procedures related to cybersecurity, account management, data protection, acceptable use, software installation, equipment handling, and escalation of security-related incidents., • Participate in Technology projects, system deployments, equipment refreshes, upgrades, and other departmental initiatives as assigned. QUALIFICATIONS • Associate’s or Bachelor’s degree in Information Technology, Computer Science, or a related field preferred, or an equivalent combination of education, training, and professional experience., • One to three years of experience providing Help Desk, Desktop Support, Technical Support, or similar end-user technology support preferred., • Working knowledge of Microsoft Windows and macOS operating systems., • Experience supporting Microsoft 365 applications and common workplace productivity and collaboration tools., • Familiarity with user account administration, permissions, password management, and directory services such as Microsoft Active Directory and Microsoft Entra ID., • Basic understanding of networking concepts including TCP/IP, Wi-Fi, DNS, DHCP, VPN, and internet connectivity., • Experience troubleshooting desktops, laptops, printers, mobile devices, peripherals, and common business applications., • Familiarity with help desk/ticketing systems, remote support tools, endpoint management platforms, and IT asset management practices., • Ability to independently troubleshoot and resolve a broad range of end-user technology issues, follow established technical procedures, research unfamiliar problems, and exercise sound judgment regarding when an issue requires escalation or additional expertise., • Strong written and verbal communication skills and the ability to explain technical concepts clearly to users with varying levels of technical knowledge., • Strong organizational skills with the ability to prioritize multiple support requests, manage competing priorities, and maintain accurate documentation., • Demonstrated commitment to customer service, professionalism, discretion, and the responsible handling of confidential information., • Ability to work independently on routine support and operational issues while collaborating effectively with other members of the Technology team, vendors, and support partners on more complex problems., • Ability to adapt to changing priorities and work effectively in a fast-paced environment., • Industry certifications such as CompTIA A+, Microsoft Fundamentals, Apple Device Support, or equivalent certifications are a plus. WORKING AT JAZZ AT LINCOLN CENTER The music is present here, literally and philosophically, and the people who thrive are the ones who feel that and lean into it. They are Fans, Advocates, Musicians, and Educators who know that you cannot shape what comes next without first honoring what came before — who ask why something is the way it is before they presume to know what it should become. They find their own work more meaningful because of its proximity to something larger, and they understand that excellence in any role, regardless of function, is connected to what happens on stage and in classrooms and communities around the world. The passion that runs through this organization can be felt on your first day, and it is the thing people miss most when they leave. We are a live-events organization, and our schedule reflects that energy: we expect full presence when the work and the art call for it. Within that, we strive to create real flexibility for our people. Flex Mondays give staff the freedom to work from wherever suits them best, and Tuesday through Friday our teams come together in person, with the understanding that the work and the art will sometimes ask for more. We trust our people to know the difference, and we build around that trust. Benefits reflect the same investment in our people: comprehensive health, retirement, and a seat inside the life of this organization. Staff have access to the breadth of JALC programming—from live performances to access at Dizzy's Club to world-class jazz education through Swing University and beyond—because we believe the people who do this work deserve to experience it, not just support it. HOW TO APPLY Click the button above to apply. Please include a cover letter and salary requirements with your application. Jazz at Lincoln Center is an equal opportunity employer that affords equal opportunities to all applicants, employees, contractors, and other covered persons, and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Jazz at Lincoln Center is committed to creating an inclusive, open, and respectful culture that reflects and embraces diversity.

About the Role: \n We are looking for existing software engineers and developers to help advance AI development. As a member of DataAnnotation's Software Engineering team, you'll be part of a growing community of over 100,000 professionals, including front-end, back-end, full-stack, machine learning, DevOps, and other software engineers who are driving real-world impact in AI development. \n Our platform offers an engaging blend of flexibility and challenge. You'll work closely with state-of-the-art AI models on programming tasks such as creating and solving complex coding problems, building applications with rich functionality, debugging and improving code, and synthesizing insights through data analysis and visualization. Your work directly contributes to refining intelligent systems that learn, adapt, and evolve. \n Some contributors fit this work alongside a full-time role, while others make it their primary focus, choosing projects and schedules that align with their availability and goals. \n To get started, you'll create an account and complete a short assessment, which serves as our version of an interview. If you pass the assessment, you'll receive an email confirmation and gain access to paid projects through our platform. \n Advantages of contracting with us: \n\n • Choose which projects you want to work on and when.\n, • Work with state-of-the-art and unreleased AI coding agents.\n, • Work on your own schedule, using your own computer, from the comfort of your home.\n, • Projects are paid hourly starting at $50-100+/hr with higher rates available for certain projects.\n\n Responsibilities: \n\n • Create and work with coding environments, unit tests, and verifiers.\n, • Design and solve diverse coding problems used to train AI systems.\n, • Write clear, high-quality code and technical explanations.\n, • Evaluate model trajectories for accuracy, performance, readability, and best practices.\n, • Identify bugs, edge cases, and opportunities for improvement in AI-generated solutions.\n, • Provide structured feedback that helps improve the next generation of AI models.\n\n Qualifications: \n\n • Fluency in English (native or bilingual level).\n, • Proficiency in at least one modern programming language, such as Python, JavaScript, TypeScript, Java, C, C#, C++, Go, Kotlin, Swift, or React.\n, • Strong software engineering fundamentals, including problem-solving, debugging, and code review.\n, • Excellent written communication skills.\n, • A bachelor's degree (completed or in progress).\n, • Previous experience as a Software Engineer, Software Developer, Programmer, Full-Stack Engineer, Front-End Engineer, Back-End Engineer, or similar technical role is preferred.\n\n Note: \n Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This job is only available to those in the United States, Canada, the United Kingdom, Ireland, Australia, New Zealand, the Netherlands, Germany, Denmark, Norway, Sweden, Poland, Romania, Ukraine, Argentina, Brazil, India, and the Philippines. Those located outside of these countries will not see work or assessments available on our site at this time. This is an independent contractor position. \n #SWE

AI Engineer 5 (AI Foundations, VLM Customization)\n \n \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n What You’ll Do: \n\n • \n Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. \n • \n Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. \n • \n Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. \n • \n Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. \n • \n Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. \n • \n Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems \n • \n Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency \n • \n Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards \n • \n Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity \n\n \n The Ideal Candidate: \n\n • \n You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good \n • \n Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production \n • \n You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven \n • \n You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss \n • \n You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown \n\n \n Basic Qualifications: \n\n • \n Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies \n • \n At least 6 years of experience programming with Python, Go, Scala, CUDA, or Java \n\n \n Preferred Qualifications: \n\n • \n Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy \n • \n 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) \n • \n Experience designing, developing, delivering, and supporting complex AI systems \n • \n Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang \n • \n Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost \n • \n Experience in building agentic AI systems and agentic workflows \n • \n Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production \n • \n Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers \n • \n Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines \n • \n Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes \n • \n Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression \n • \n Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $229,900 - $262,400 for AI Engineer 5\n \n McLean, VA: $229,900 - $262,400 for AI Engineer 5\n \n New York, NY: $250,800 - $286,200 for AI Engineer 5\n \n San Jose, CA: $250,800 - $286,200 for AI Engineer 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

AI Engineer 5 ((AI Foundations, LLM Core and Agentic AI)\n \n \n Overview: \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n What You’ll Do: \n\n • Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.\n, • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.\n, • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.\n, • Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems.\n, • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.\n, • Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems\n, • Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency\n, • Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards\n, • Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity\n\n \n The Ideal Candidate: \n\n • You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good\n, • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production\n, • You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven\n, • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss\n, • You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown\n\n \n Basic Qualifications: \n\n • Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies\n, • At least 6 years of experience programming with Python, Go, Scala, CUDA, or Java\n\n \n Preferred Qualifications: \n\n • Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy\n, • 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)\n, • Experience designing, developing, delivering, and supporting complex AI systems\n, • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang\n, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost\n, • Experience in building agentic AI systems and agentic workflows\n, • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production\n, • Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers\n, • Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines\n, • Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes\n, • Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression\n, • Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs)\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $229,900 - $262,400 for AI Engineer 5\n \n McLean, VA: $229,900 - $262,400 for AI Engineer 5\n \n New York, NY: $250,800 - $286,200 for AI Engineer 5\n \n San Francisco, CA: $250,800 - $286,200 for AI Engineer 5\n \n San Jose, CA: $250,800 - $286,200 for AI Engineer 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

AI Engineer 4 (AI Safety and Multimodal)\n \n \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n What You’ll Do: \n\n • Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.\n, • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.\n, • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.\n, • Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems.\n, • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.\n, • Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment\n, • Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift\n, • Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines\n, • Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met\n, • Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation\n\n \n The Ideal Candidate: \n\n • You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good\n, • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production\n, • You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven\n, • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss\n, • You are experienced in AI red teaming and in deploying safety guardrails for multimodal systems, including VLMs, MLLMs, and MM-RAG architectures\n, • You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown\n\n \n Basic Qualifications: \n\n • Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies\n, • At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java\n\n \n Preferred Qualifications: \n\n • Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy\n, • 6+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)\n, • Experience designing, developing, delivering, and supporting AI services\n, • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang\n, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost\n, • Experience in AI Safety and LLM safety alignment\n, • Experience with Safety and vulnerability assessment of Multi-modal application using image/video plus text modality\n, • Experience in building agentic AI systems and agentic workflows\n, • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production\n, • Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale\n, • Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules\n, • Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $197,300 - $225,100 for AI Engineer 4\n \n McLean, VA: $197,300 - $225,100 for AI Engineer 4\n \n New York, NY: $215,200 - $245,600 for AI Engineer 4\n \n San Jose, CA: $215,200 - $245,600 for AI Engineer 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

AI Engineer 5 (AI Foundations: Evaluations and Agentic Workflows)\n \n \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n What You’ll Do: \n\n • Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.\n, • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.\n, • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.\n, • Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems.\n, • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.\n, • Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems\n, • Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency\n, • Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards\n, • Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity\n\n \n The Ideal Candidate: \n\n • You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good\n, • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production\n, • You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven\n, • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss\n, • You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown\n\n \n This role is designated as a hybrid position. You are expected to adhere to Capital One's hybrid policy regarding required on-site presence at your designated office location. \n \n Basic Qualifications: \n\n • Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies\n, • At least 6 years of experience programming with Python, Go, Scala, CUDA, or Java\n\n \n Preferred Qualifications: \n\n • Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy\n, • 7+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)\n, • Experience designing, developing, delivering, and supporting complex AI systems\n, • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang\n, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost\n, • Experience in building agentic AI systems and agentic workflows\n, • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production\n, • Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers\n, • Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines\n, • Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes\n, • Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression\n, • Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs)\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $229,900 - $262,400 for AI Engineer 5\n \n McLean, VA: $229,900 - $262,400 for AI Engineer 5\n \n New York, NY: $250,800 - $286,200 for AI Engineer 5\n \n San Francisco, CA: $250,800 - $286,200 for AI Engineer 5\n \n San Jose, CA: $250,800 - $286,200 for AI Engineer 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

AI Engineer 4 (AI Foundations)\n \n \n Overview: \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n What You’ll Do: \n\n • Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.\n, • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.\n, • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.\n, • Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems.\n, • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.\n, • Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment\n, • Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift\n, • Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines\n, • Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met\n, • Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation\n\n \n The Ideal Candidate: \n\n • You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good\n, • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production\n, • You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven\n, • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss\n, • You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown\n\n \n Basic Qualifications: \n\n • Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies\n, • At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java\n\n \n Preferred Qualifications: \n\n • Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy\n, • 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)\n, • Experience designing, developing, delivering, and supporting AI services\n, • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang\n, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost\n, • Experience in building agentic AI systems and agentic workflows\n, • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production\n, • Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale\n, • Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules\n, • Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n McLean, VA: $197,300 - $225,100 for AI Engineer 4\n \n New York, NY: $215,200 - $245,600 for AI Engineer 4\n \n San Jose, CA: $215,200 - $245,600 for AI Engineer 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job DescriptionSummary: Work Mode: [Remote / On-site / Hybrid – specify] Job Type: Full-time Experience Level: Mid to Senior Level Responsibilities: • Plan, coordinate, execute, and successfully deliver projects within established timelines, budgets, and quality standards., • Develop project plans, define milestones and deliverables, assign responsibilities, manage resources, and monitor project progress., • Communicate regularly with stakeholders, identify potential risks and issues, and develop appropriate mitigation strategies., • Coordinate cross-functional teams and ensure that project objectives are clearly understood and achieved., • Maintain accurate documentation and provide regular status reports to management.Requirements:, • 5 years of professional software development experience., • Proficiency in one or more programming languages (e.g., Java, Python, C#, JavaScript/TypeScript, Go)., • Experience building and consuming RESTful APIs and/or working with microservices architecture., • Strong understanding of computer science fundamentals including data structures, algorithms, and design patterns., • Familiarity with relational and/or NoSQL databases., • Hands-on experience with version control tools (e.g., Git)., • Exposure to agile development methodologies., • Experience with testing practices (unit, integration, and end-to-end testing).Preferred Skills:, • Experience with containerization (e.g., Docker) and orchestration tools (e.g., Kubernetes)., • Familiarity with cloud services (e.g., AWS, Azure, GCP)., • Knowledge of CI/CD pipelines and DevOps practices., • Experience with front-end technologies (e.g., React, Angular, Vue.js) if applicable to the role., • Prior involvement in codebase migration, scalability improvements, or system re-architecture.Benefits:, • Full-time role with flexible work options., • Opportunities for professional development and career growth., • Role may involve technical mentorship or leadership responsibilities.

Job Description GENERAL MANAGER - The Standard Hotel Ice Rink TSHTL SFM, LLC LOCATION: New York, NY DEPARTMENT: OPERATIONS REPORTS TO: VP OF VENUE MANAGEMENT STATUS: SEASONAL FULL-TIME (EXEMPT) ABOUT THE COMPANY: The Standard Hotel Ice Rink is a premier sport, recreation and entertainment destination focused on improving the health and economic vitality of New York, NY. You will be joining a championship level team focused on fun, fulfillment and service built to enrich the community as well as your career and personal growth. The Standard Hotel Ice Rink is managed by Sports Facilities Management LLC, a Sports Facilities Companies (SFC) company. SFC is the nation's leading resource for managing and developing sports, recreation, wellness, and events facilities. We provide a highly collaborative and supportive culture that raises our team members to new levels of career growth. Together, we will carve a path in a hyper-growing industry where you will enjoy the journey and learn from the industry's best while having some fun. SFC has been awarded national recognition as a Top Workplace and is considered a workplace of choice. Our mission-focused company is highly entrepreneurial, team-oriented with a culture centered on collaboration, accountability, excellence, and service. We are growing rapidly and looking for high performers at every level to grow with us. POSITION SUMMARY: The General Manager is responsible for the financial and operating performance of the venue. The objectives for this position include: • Optimizing overall profitability, • Creating a culture of accountability which supports the organizational values, • Meeting or exceeding annual growth objectives, • Facilitating interdepartmental collaboration, • Employee retention and staff development, • Development of employee and operating policies, • Implementation of major business initiatives PRIMARY RESPONSIBILITIES INCLUDE BUT ARE NOT LIMITED TO: • Analyze operations to evaluate performance of the company and its team members in order to meet objectives, and to determine areas of potential cost reduction, program improvement, or policy change, • Appoint department heads or managers and assign or delegate responsibilities to them, • Establish departmental responsibilities and coordinate functions among departments and sites, • Confer with ownership, Sports Facilities Management advisors & support team, and team members to discuss issues, coordinate activities, and resolve problems, • Coordinate the development and implementation of budgetary control systems, recordkeeping systems, and other administrative control processes, • Direct and coordinate an organization's financial and budget activities in order to fund operations, maximize investments, and increase efficiency, • Direct human resources activities, including the approval of human resource plans and activities, the selection of directors and other high-level staff, and establishment and organization of major departments, • Direct, plan, and implement policies, objectives, and activities of organizations or businesses in order to ensure continuing operations, maximize returns on investments, and increase productivity, • Implement corrective action plans to solve organizational or departmental problems, • Prepare and present reports concerning activities, expenses, budgets, government statutes and rulings, and other items affecting businesses or program services, • Represent the organization and promote its objectives at official functions, or delegate representatives to do so, • Serve as liaisons between organizations, shareholders, and outside organizations, • Administer programs for selection of any site location, potential construction needs, and provision of equipment and supplies, • Direct and coordinate activities of businesses or departments concerned with production, pricing, sales, and/or distribution of products, • Direct and give strategic direction to all departments, • Negotiate or approve contracts and agreements with suppliers, distributors, federal and state agencies, and other organizational entities, • Organize and approve promotional campaigns, • Prepare budgets for approval, including those for funding and implementation of programs, • Review reports submitted by team members in order to recommend approval or to suggest changes, • Continually research new technologies to increase efficiency within the business, • Schedule and monitor continued training seminar for team members on various operational, safety, and legal responsibilities, • Any additional duties assigned by the VP of Venue Management MIMIMUM QUALIFICATIONS: • Prior responsibility in daily P&L management and budget oversight responsibility of $1MM or greater, • Proven management and leadership experience in the food and beverage, recreational, and entertainment industry, • Operational knowledge of F&B, entertainment, and sport clubs as well as parties, corporate events, and teambuilding preferred., • Prior experience in contracting or overseeing others who have sold corporate sponsorships, birthday parties, corporate parties, tournaments, leagues, camps, fitness programming, and other related services preferred, • Prior experience managing marketing programs preferred, • Operational knowledge of risk management, • Skilled at identifying and creating opportunities to deliver revenue goals, • Sports programming and sports event operations expertise required, • Bachelor's degree in business management, sports management, marketing, hospitality, related field, or equivalent experience preferred TRAVEL REQUIREMENTS • Minimal travel as needed to trade shows, SFM leadership conferences WORKING CONDITIONS AND PHYSICAL DEMANDS • Ability to travel to national events and regionally by car, • Must be able to lift 40 pounds waist high, • Will be required to sit for extended periods of time operating a computer, • Will be required to conduct venue tours, • Office environment has intermittent noise, normal in nature Job Posted by ApplicantPro

Job Description Location: Bronx, NY Employment Type: Full-Time, In-Person, 11-Month Position Reports To: Director of Career Programs & Partnerships Organization Overview Vertex Academies is a public charter International Baccalaureate World High School with a classical core in the heart of the Bronx. Our mission is to provide students with pathways for upward mobility while preparing them for the responsibilities of self-governance in a democratic republic. Everything we do is rooted in the four cardinal virtues: courage, justice, temperance, and wisdom. Our Lower Academy curriculum is designed to teach timeless truths in pursuit of the good, the true, and the beautiful. All students train in the seven classical liberal arts of the Trivium and Quadrivium, with explicit instruction and practice of logic, grammar, and rhetoric, choose between Spanish and Latin, and trace the development of the Western Tradition. Our Upper Academy provides students with rich options equal in rigor and stature: a Humanities-focused pathway with AP courses, or three different International Baccalaureate Career-related Programme pathways: Biomedical Science, Computer Science and Cybersecurity, and Montessori Early Childhood Education, all of which have real-world partners and result in an industry credential. At Vertex, our students have agency. Each day, they make choices about the kind of people they want to become, the lives they want to lead, and the society they want to build. It is our sacred duty to equip them with the knowledge most worth having, to sharpen their critical thinking, and to create a space where they grapple with diverse viewpoints, express cogent arguments, and engage in democratic discourse. Position Overview Vertex is building a broader, more sustainable model of career readiness that pairs the International Baccalaureate Career-related Programme with employer partnerships, internships, industry exposure, credential attainment, and workforce readiness. The Director of Career Programs & Partnerships leads that work and holds Vertex’s partner relationships. The Manager of Career Programs supports the Director and runs the program day to day. The Manager is responsible for the day-to-day operation of Vertex’s career programming. Working under the direction of the Director, the Manager turns partnerships and program design into well-organized experiences for students: placing and preparing students, coordinating logistics with partners and staff, maintaining accurate program records, and keeping students, families, and colleagues informed. The Manager also supports Vertex’s IB Career-related Programme, ensuring that students enrolled in the IBCP complete all programme requirements and that Vertex maintains the documentation the IB requires. The successful candidate is highly organized, follows through on details, communicates clearly with students and adults, and takes ownership of execution. Responsibilities Program Operations • Implement career programming in line with the goals, priorities, and quality standards set by the Director., • Manage the calendar, logistics, and communications for career days, site visits, guest speakers, industry panels, and networking events., • Coordinate transportation, permission slips, schedules, and supervision for all off-site experiences in every career pathway., • Support classes taught with outside providers, including teaching predetermined material, grading, creating and maintaining gradebooks, and supervising and managing classes when needed., • Manage teacher access to partner training and curriculum, such as Project Lead the Way., • Evaluate program implementation and recommend improvements to the Director. Student Placement & Support • Recruit, screen, and prepare students for internships, apprenticeships, job shadowing, mentorships, and other work-based learning opportunities., • Match students to opportunities based on their interests, readiness, and program requirements., • Monitor student attendance, conduct, and progress at placements, and address concerns promptly with students, families, and partners., • Lead student preparation in professional skills and workplace expectations before and during placements., • Guide students through structured reflection on their experiences., • Facilitate student inquiry and research into careers and industries. Partner Coordination • Support the Director in managing partner relationships; the Director remains the primary contact for partner organizations and leads all partnership decisions., • Coordinate the logistics of partner experiences, including schedules, placement details, site requirements, and student paperwork., • Work with site supervisors on day-to-day student matters, and keep the Director informed of any concerns., • Collect feedback from partners and site supervisors on student performance and program quality, and share it with the Director., • Support the Director in identifying prospective partners and preparing partnership materials., • Track vendor and partner deliverables, and flag issues to the Director. IB Career-related Programme • Monitor the progress of students enrolled in the IBCP toward completion of all programme requirements, including the Reflective Project, Service Learning, language development, and Personal and Professional Skills., • Maintain the system for documenting student IBCP requirements (e.g., language portfolios, Reflective Project essays) that the IB requires for evaluation., • Support the DP Coordinator with the administration of IB-mandated assessments for CP students., • Coordinate with the teachers and staff responsible for each component of the programme. Data & Records • Maintain accurate records of student participation, placements, credential attainment, and completion across all career experiences., • Collect and organize the data the Director needs to report on program outcomes to school leadership, the Board of Trustees, and external stakeholders., • Maintain required documentation, including placement agreements, permission forms, and site records., • Support the tracking of postsecondary outcomes for graduates. Communication • Communicate information about career programming and upcoming opportunities to students, families, and staff., • Provide information, guidance, and administrative support to students, colleagues, and other stakeholders., • Collaborate with counselors, academy leaders, and teachers to connect career programming with students’ academic and postsecondary plans.Qualifications Required • A bachelor’s degree, • Two or more years of professional experience in education, career readiness, workforce development, youth development, or program coordination, • Exceptional organizational skills and attention to detail, with a record of managing many moving parts at once, • Strong written and verbal communication skills with students, families, colleagues, and external partners, • Proficiency with spreadsheets and data tracking systems, • A deep, abiding belief in the infinite potential of our students, • An expansive sense of your own agency, • A hunger for feedback from all stakeholders and a commitment to continuous improvement Nice to Have • Teaching or advising experience with high school students, • Experience coordinating internships, work-based learning, or career readiness programs, • Familiarity with the IB Career-related Programme, • Experience working in urban or charter school settings, • Familiarity with New York City employers, workforce organizations, and higher education institutions This role is a full-time, in-person, 11-month position. Compensation and Benefits The salary range for this position is $67,000–$105,000, based on the Vertex teacher salary scale; the offer will be commensurate with the candidate’s years of experience and credentials. As an employee, you are eligible for a benefits package, inclusive of paid time off, paid holidays, and a retirement plan. Physical Requirements This role may require lifting and carrying items weighing up to 20 pounds unassisted, including assisting coworkers when needed. Requires frequent bending, reaching, repetitive hand movements, standing, walking, squatting, sitting, and looking at a computer screen for long periods at a time. Powered by JazzHR wAfCo5lnvs

Sr. Staff AI Engineer\n \n \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n What You’ll Do: \n\n • Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.\n, • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.\n, • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.\n, • Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems.\n, • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.\n, • Define and steer the technical AI architecture vision, integrating applied research breakthroughs into production ecosystems with reliability and scale\n, • Lead the establishment of AI performance, safety, and transparency standards that guide all model development and deployment company-wide\n, • Drive multi-year platform initiatives that unify data, compute and model lifecycle management under and cohesive enterprise AI architecture\n, • Mentor senior technical leaders across research, data and engineering disciplines, developing the next generation of Capital One’s AI technical leadership\n\n \n Basic Qualifications: \n\n • Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies\n, • At least 10 years of experience programming with Python, Go, Scala, CUDA, or Java\n\n \n Preferred Qualifications: \n\n • Experience architecting AI platforms with tradeoff decisions around cost, latency, throughput and accuracy\n, • 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)\n, • Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems \n, • Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the SVP level\n, • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang\n, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost\n, • Experience in building agentic AI systems and agentic workflows\n, • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production\n, • Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers\n, • Recognized industry leader in applied AI or machine learning infrastructure through patents, publications, or open-source leadership\n, • Demonstrated experience designing long-term AI infrastructure strategies - balancing cost, scale, ethics and regulatory compliance\n, • Experience driving organization-wide adoption of AI safety, alignment and governance standards, collaborating with policy, risk and legal teams\n, • Proven ability to shape R&D investment strategy by identifying breakthrough AI capabilities with material business impact\n, • Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs)\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $314,800 - $359,300 for Sr. Staff AI Engineer\n \n McLean, VA: $314,800 - $359,300 for Sr. Staff AI Engineer\n \n New York, NY: $343,400 - $392,000 for Sr. Staff AI Engineer\n \n Richmond, VA: $286,200 - $326,700 for Sr. Staff AI Engineer\n \n San Francisco, CA: $343,400 - $392,000 for Sr. Staff AI Engineer\n \n San Jose, CA: $343,400 - $392,000 for Sr. Staff AI Engineer\n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn’t changed — we’re here to stop breaches, and we’ve redefined modern security with the world’s most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We're proud to work for a mission-driven company leveraging AI to transform the way we work. CrowdStrikers drive their careers through flexibility and autonomy while also being expected to contribute to a culture of responsible AI adoption, experimentation, and innovation. We use an AI-first mindset as a force multiplier to proactively and continuously accelerate execution, build expertise, uncover insights, and solve complex problems. We’re always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you. About the Role: CrowdStrike Falcon is the industry standard in cloud‑native cybersecurity and threat hunting, processing trillions of events per day. As a Principal SRE, you will operate at the intersection of our Core Platform and Embedded Reliability charters: building the foundational libraries, services, and tooling that every product group depends on, while embedding directly with product engineering teams and their leadership to drive reliability outcomes at scale. While we embrace the SRE moniker, at CrowdStrike it means something far more service‑oriented and engineering‑heavy than traditional operations. This is hands‑on systems engineering — writing production code, re‑architecting critical systems, and eliminating entire classes of failure — not ticket management. It is far and away our most self‑driven and autonomous backend engineering role, with the freedom to move up, down, and laterally across the stack as needed. You'll join a group with bottom‑up visibility and ownership of a fast‑expanding codebase (including AI‑based Detection & Response) and a far‑reaching mandate for service resiliency. Several key feature additions and critical re‑architecture initiatives are underway: deploying core services to additional cloud providers, modularizing into reusable components, improving core libraries and frameworks, maturing observability tooling (tracing, profiling, alerting, SLOs), and automating away manual toil across all of the above. Recent examples of the team's work include introducing adaptive concurrency into our core Kafka library to implement flow control that protects database performance, resolving critical issues in leader election libraries, and building infrastructure‑as‑code tooling that eliminated manual deployment processes. At the Senior Engineer level, your influence is organizational. Product engineers and engineering leaders will come to you for guidance on architectural decisions because you've earned credibility through hands‑on work and delivered results. You will shape architectural choices that affect every feature development team and provide shared architectural components leveraged throughout the Falcon Platform — including Unified Search, Protobuf libraries, and other shared‑tier infrastructure. Why This Role Matters: Our customers depend on us to protect their businesses from sophisticated threats, and reliability isn't optional — it's fundamental to our mission. Your work directly impacts whether organizations around the world can defend themselves against cyberattacks. You'll work on problems that matter, at a scale few companies can match, with the autonomy to make real architectural decisions. Location: This position requires candidates to be based in Midtown Manhattan, NY; Redmond, WA; Sunnyvale, CA; or Austin, TX. It's a hybrid role, with employees typically working 2 to 3 days per week in the office. What You'll Do: Partner with engineering leadership across multiple product groups to define and drive multi‑year reliability roadmaps. Design and implement architectural improvements to services, libraries, and platforms that impact teams across all of CrowdStrike. Develop and maintain services that meet aggressive reliability and scalability demands. Extend and build new libraries for cross‑cutting concerns spanning CrowdStrike's cloud platform, which comprises hundreds of libraries and services. Lead initiatives around reliability, scalability, performance, and cost efficiency in large‑scale distributed systems. Establish foundational observability practices: ensure teams instrument services properly, react to signals effectively, and leverage observability to drive automation such as continuous delivery. Define and implement service‑level objectives and error budgets that drive real decision‑making and prioritization. Lead performance and cost optimization efforts: profiling, bottleneck analysis, capacity planning, and cloud efficiency improvements. Conduct resilience engineering: chaos experiments, failure injection, failure modeling, and designing for graceful degradation. Design and implement automation and infrastructure‑as‑code to improve infrastructure reliability and eliminate manual toil. Provide technical leadership during complex incidents and ensure follow‑through on retrospectives with concrete improvements that eliminate entire classes of failures. Identify opportunities to extract common patterns into shared libraries and tools, or partner with platform teams on improvements benefiting multiple product groups. Continuously re‑evaluate our products to improve architecture, knowledge models, developer and user experience, performance, and stability. Drive strategic technical decisions and influence infrastructure and operational improvements across the organization. Mentor and coach engineers, raising the technical IQ of the team and driving architectural standards across the org. Use and give back to the open source community; evangelize software engineering best practices, especially as they pertain to Go. Brainstorm, define, and build collaboratively with members across multiple teams as an energetic self‑starter who owns and is accountable for deliverables. What You'll Need: 10+ years of experience building and operating distributed systems and service‑oriented backends at scale. 5+ years developing microservices for a SaaS product in a modern backend language (Go, Java, Scala, Kotlin, Python, Node.js). Expert‑level proficiency in at least one programming language, with expert‑level Go or demonstrated ability and willingness to reach expert level in Go. Deep understanding of distributed systems: consensus algorithms, replication, consistency models, failure modes, and scalability patterns. Proven experience scaling backend systems — sharding, partitioning, horizontal scaling, capacity planning, and performance optimization are second nature. Deep understanding of multi‑threading, concurrency, and parallel processing. Track record of making impactful architectural decisions at organizational scope and seeing them through to production. Strong systems thinking and the ability to influence without direct authority across organizational boundaries. Thorough command of engineering best practices: appropriate testing paradigms, effective peer code review, and resilient architecture. Ability to thrive in a fast‑paced, test‑driven, collaborative, and iterative environment; strong team‑player orientation. A desire to ship code and a love of seeing your bits run in production. Degree in Computer Science, or commensurate experience in data structures, algorithms, and distributed systems. Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes. Bonus Points: Experience driving reliability improvements in organizations with hundreds or thousands of microservices. Deep knowledge of Kubernetes or other large‑scale orchestration systems. Hands‑on experience with AWS, Cassandra, Kafka, Elasticsearch/OpenSearch, or similar large‑scale distributed technologies. Experience with Google Cloud Platform (GCP). Experience with Oracle Cloud Infrastructure (OCI). Experience delivering or operating services across multiple cloud providers, including multi‑cloud abstraction layers, portability, and cloud‑agnostic tooling. Track record of building internal platforms, developer platforms, or tools that other engineers depend on. Experience with infrastructure cost optimization at scale. Background in performance engineering: profiling, optimization, and identifying system bottlenecks. Experience with chaos engineering or resilience testing practices. History of establishing SLO/SLI frameworks and error budgets in production environments. Contributions to the open source community (GitHub, Stack Overflow, technical blogging). Prior experience in the cybersecurity or intelligence fields. #LI-SC1 Benefits of Working at CrowdStrike: Market leader in compensation and equity awards Comprehensive physical and mental wellness programs Competitive vacation and holidays for recharge Paid parental and adoption leaves Professional development opportunities for all employees regardless of level or role Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections Vibrant office culture with world class amenities Great Place to Work Certified™ across the globe CrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program. CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy-related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law. We base all employment decisions--including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay-offs, return from lay-off, terminations and social/recreational programs--on valid job requirements. If you need assistance accessing or reviewing the information on this website or need help submitting an application for employment or requesting an accommodation, please contact us at _ for further assistance. _ CrowdStrike participates in the E-Verify program. _ _ CrowdStrike, Inc. is committed to fair and equitable compensation practices. Placement within the pay range is dependent on a variety of factors including, but not limited to, relevant work experience, skills, certifications, job level, supervisory status, and location. The base salary range for this position for all U.S. candidates is $140,000 - $215,000 per year, with eligibility for bonuses, equity grants and a comprehensive benefits package that includes health insurance, 401k and paid time off. For detailed information about the U.S. benefits package, please _.

As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn’t changed — we’re here to stop breaches, and we’ve redefined modern security with the world’s most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We're proud to work for a mission-driven company leveraging AI to transform the way we work. CrowdStrikers drive their careers through flexibility and autonomy while also being expected to contribute to a culture of responsible AI adoption, experimentation, and innovation. We use an AI-first mindset as a force multiplier to proactively and continuously accelerate execution, build expertise, uncover insights, and solve complex problems. We’re always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you. The CrowdStrike Cloud Detection Engine (CDE) team is building a powerful, next-generation platform designed to be a force multiplier for security teams. Our platform empowers customers who leverage multiple Falcon products to create and manage advanced, unified detections and content. This core platform capability is a strategic imperative for CrowdStrike, aiming to provide a competitive advantage that is difficult to replicate, ensuring our customers have unparalleled detection and response capabilities across the entire Falcon ecosystem. We build the real-time data systems behind CrowdStrike's detection pipeline. Our team owns the streaming engine that processes all first-party sensor telemetry and maintains a petabyte-scale graph of real-time system activity, and the distributed correlation engine that evaluates trillions of events a day to catch multi-stage attacks that no single event can surface. Both systems are at the core of how CrowdStrike finds adversaries. We're looking for someone who is excited about working in systems programming: custom query languages, graph databases, state machines, performance work where microseconds matter. We ship fast, we build with modern tooling including AI in our dev workflow, and own everything end to end from design to production This role is hybrid, requiring 2-3 days per week on-site at the posted location. About the Role: We are seeking a Senior Engineer II to join the CDE Platform team. In this role, you will be instrumental in designing, building, and scaling the foundational services that orchestrate data, content, and execution logic across CrowdStrike’s products (e.g., NGSIEM, FCS, Endpoint). You will be a key driver in creating a highly performant, scalable, and resilient platform that processes internet-scale data streams and enables real-time detection generation. What You'll Do: • Lead backend engineering efforts from rapid prototypes to large-scale applications across CrowdStrike products, • Leverage and build cloud-based systems to detect targeted attacks and automate cyber threat intelligence production at a global scale, • Brainstorm, define and build collaboratively with members across multiple teams, • Obsess about learning, and champion the newest technologies & tricks with others, raising the technical IQ of the team, • Be mentored and mentor other developers on web, backend, and data storage technologies and our system, • Constantly re-evaluate our product to improve architecture, knowledge models, user experience, performance and stability, • Be given the autonomy to own your work in a high trust environment The technology stack you’ll use will include: • Go (Golang) or C++, • AWS/GCP/Azure/Kubernetes, • Kafka, • GIT, • Cassandra, • Docker, • Redis What You'll Need: • Degree in Computer Science (or professional experience in data structures/algorithms/distributed systems), • Understanding scalability and distributed systems i.e. sharding, partitioning, concurrency, etc, • Being a team player, • A thorough understanding of engineering best practices from appropriate testing paradigms to effective peer code reviews and resilient architecture., • The ability to thrive in a fast-paced, test-driven, collaborative and iterative programming environment., • The skills to meet your commitments on time and produce high-quality software that is unit tested, code reviewed and checked in regularly for continuous integration., • Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes. Bonus Points: • Contributions to the open-source community (GitHub, Stack Overflow, blogging), • Existing exposure to Go or C++, Scala, AWS, Cassandra, Kafka, Elasticsearch..., • Prior experience in the cybersecurity or intelligence field, • Experience in thinking about, designing, or implementing programming languages and/or compilers, • Interesting hobbies #LI-SS1 Benefits of Working at CrowdStrike: Market leader in compensation and equity awards Comprehensive physical and mental wellness programs Competitive vacation and holidays for recharge Paid parental and adoption leaves Professional development opportunities for all employees regardless of level or role Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections Vibrant office culture with world class amenities Great Place to Work Certified™ across the globe CrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program. CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy-related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law. We base all employment decisions--including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay-offs, return from lay-off, terminations and social/recreational programs--on valid job requirements. If you need assistance accessing or reviewing the information on this website or need help submitting an application for employment or requesting an accommodation, please contact us at _ for further assistance. _ CrowdStrike participates in the E-Verify program. _ _ CrowdStrike, Inc. is committed to fair and equitable compensation practices. Placement within the pay range is dependent on a variety of factors including, but not limited to, relevant work experience, skills, certifications, job level, supervisory status, and location. The base salary range for this position for all U.S. candidates is $160,000 - $250,000 per year, with eligibility for bonuses, equity grants and a comprehensive benefits package that includes health insurance, 401k and paid time off. For detailed information about the U.S. benefits package, please _.

As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn’t changed — we’re here to stop breaches, and we’ve redefined modern security with the world’s most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We're proud to work for a mission-driven company leveraging AI to transform the way we work. CrowdStrikers drive their careers through flexibility and autonomy while also being expected to contribute to a culture of responsible AI adoption, experimentation, and innovation. We use an AI-first mindset as a force multiplier to proactively and continuously accelerate execution, build expertise, uncover insights, and solve complex problems. We’re always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you. About the Role: As part of CrowdStrike's Risk Analytics team, you'll be at the forefront of cybersecurity innovation, elevating our industry-leading "stopping breaches" mission to unprecedented levels of sophistication and visibility. You'll architect and build the foundational risk intelligence platform that powers next-generation security insights. Leveraging advanced algorithms and AI, you’ll deliver comprehensive visibility into risk compounding, attack path analysis, and posture scoring across the entire attack surface. This is a hybrid role requiring 2-3 days/week in our Midtown, Manhattan Office. Technical Excellence & Innovation: In this pivotal role, you'll harness cutting-edge technologies to engineer robust backend services that seamlessly analyze massive data streams, execute complex risk calculations, and deliver intelligent remediation automation. Working primarily with Golang microservices architecture and multiple database ecosystems, you'll build scalable solutions that protect organizations worldwide from evolving cyber threats. Leadership & Impact: As a technical leader, you'll drive end-to-end product delivery, architect scalable solutions, and collaborate with cross-functional stakeholders to define priorities and scope. Your expertise will directly influence the cybersecurity landscape, protecting organizations from sophisticated threats while advancing the state of the art in exposure management. What You'll Do: • Backend Architecture: Design and develop scalable backend services powering both internal and customer-facing web applications with focus on performance and reliability, • Developer Tools: Create intuitive command-line utilities and APIs that integrate seamlessly with our platform ecosystem, • Infrastructure Design: Architect supporting systems including databases, real-time data pipelines, and monitoring solutions, • Cross-team Collaboration: Partner with UX/UI, Sensors, and other teams to deliver integrated solutions with comprehensive documentation, • Operational Excellence: Configure advanced monitoring, alerting, and maintain high availability for production services, • Continuous Innovation: Drive architectural improvements, optimize performance, and enhance user experience through iterative refinement, • Technical Mentorship: Guide junior engineers and contribute to technical decision-making processes, • Service Reliability: Ensure robust, healthy service operations with proactive maintenance and incident response capabilities What You'll Need: • 8-10 years of production experience building, delivering, and maintaining large-scale distributed systems processing high-volume data, • Experience developing robust, distributed systems using frameworks like Apache Spark, Apache Flink, and Kafka to handle high-velocity streaming events and large-scale batch ETL workloads., • Advanced programming expertise in object-oriented languages with strong typing (we primarily use Golang and Python—we'll help you master our stack!), • Proven microservices experience with designing scalable REST APIs and distributed communication patterns, • Strong cloud infrastructure knowledge with major providers (AWS preferred, plus Azure and GCP) for provisioning, monitoring, and optimization, • Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes., • System troubleshooting expertise for complex distributed architectures with focus on performance and reliability, • Engineering best practices experience including testing strategies, code reviews, and resilient architecture design, • Collaborative technical skills with ability to mentor junior engineers and contribute to technical decisions, • Bachelor's degree in Computer Science/Engineering or equivalent professional experience, • Strong foundation in algorithms, data structures, and system design principles Bonus Points: • Expertise in tuning and managing batch processing (Spark) and/or streaming processing (Flink, Spark Streaming) at scale, • Graph database knowledge and experience with graph structures (nodes, edges, relationships), • Cassandra and CQL experience with wide-column databases, • Cybersecurity industry experience or relevant certifications, • Docker and Kubernetes experience, • Open source contributions or technical community involvement #LI-JC1 Benefits of Working at CrowdStrike: Market leader in compensation and equity awards Comprehensive physical and mental wellness programs Competitive vacation and holidays for recharge Paid parental and adoption leaves Professional development opportunities for all employees regardless of level or role Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections Vibrant office culture with world class amenities Great Place to Work Certified™ across the globe CrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program. CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy-related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law. We base all employment decisions--including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay-offs, return from lay-off, terminations and social/recreational programs--on valid job requirements. If you need assistance accessing or reviewing the information on this website or need help submitting an application for employment or requesting an accommodation, please contact us at _ for further assistance. _ CrowdStrike participates in the E-Verify program. _ _ CrowdStrike, Inc. is committed to fair and equitable compensation practices. Placement within the pay range is dependent on a variety of factors including, but not limited to, relevant work experience, skills, certifications, job level, supervisory status, and location. The base salary range for this position for all U.S. candidates is $140,000 - $215,000 per year, with eligibility for bonuses, equity grants and a comprehensive benefits package that includes health insurance, 401k and paid time off. For detailed information about the U.S. benefits package, please _.

As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn’t changed — we’re here to stop breaches, and we’ve redefined modern security with the world’s most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We're proud to work for a mission-driven company leveraging AI to transform the way we work. CrowdStrikers drive their careers through flexibility and autonomy while also being expected to contribute to a culture of responsible AI adoption, experimentation, and innovation. We use an AI-first mindset as a force multiplier to proactively and continuously accelerate execution, build expertise, uncover insights, and solve complex problems. We’re always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you. About the Role: Get Data In (GDI) Integrations Content team at Next Gen-SIEM is responsible for building out of the box integrations for 3rd party products to ingest and parse data into SIEM platform. We are looking for a passionate Security Engineer with expertise in data ingestion and integration for SIEM. This role focuses on designing, developing, and maintaining out of the box data connectors for CrowdStrike Next-Gen SIEM, ensuring seamless ingestion of security data from various third-party products. The ideal candidate has hands-on experience in cybersecurity, data ingestion pipelines, log collection mechanisms, and security event processing. You should be well-versed in industry-standard data ingestion and integration methods and possess strong knowledge about security products and platform This role is hybrid, on-site at our NYC Office Location. Candidates should be comfortable visiting the office twice a week once the development center is established. What You'll Do: Evaluate, develop, maintain, and enhance data connectors and parsers to ingest data from third-party security products into CrowdStrike Next-Gen SIEM Set up and maintain a lab or test environment for security products to validate data connectors and troubleshoot issues Troubleshoot and resolve issues with existing data connectors to ensure reliable log ingestion Collaborate with internal teams to define efficient logging, error handling, data normalization and documentation for data connectors Research and implement best practices for ingesting security logs from Firewalls, IDS/IPS, Cloud Security products, Endpoint Security, and other security products and platforms Write and maintain high-quality technical documentation for integration methods and troubleshooting guides Provide on-call support for critical data ingestion issues and production incidents Work with customers, customer success and customer support teams to troubleshoot and resolve data ingestion-related issues and ensure effective communication What You'll Need: Bachelor’s or Master’s degree in Computer Science or related field or equivalent work experience. 6+ years of experience in cybersecurity and SIEM integrations Experience in developing data connectors or ingestion pipelines for SIEM platforms such as Splunk, Sentinel, Exabeam, QRadar etc. Experience in security data normalization schemas, parsing and data enrichment Experience in setting up and managing environments for security products such as Firewalls, IDS/IPS, EDR, CASB, Identity Security, Email Security etc. Experience with security events and its formats such as Syslog, CEF, LEEF, JSON, XML Working knowledge of log processing or shipping tools such as Cribl, Splunk forwarder, Azure monitoring agent, LogScale log collector etc. Working knowledge on cloud-native logging services such as AWS CloudWatch, Azure Monitor, or GCP Logging Proficiency in at least one programming language, preferably Python or Go Strong documentation, communication and customer interaction skills Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes. #LI-SS1 Benefits of Working at CrowdStrike: Market leader in compensation and equity awards Comprehensive physical and mental wellness programs Competitive vacation and holidays for recharge Paid parental and adoption leaves Professional development opportunities for all employees regardless of level or role Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections Vibrant office culture with world class amenities Great Place to Work Certified™ across the globe CrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program. CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy-related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law. We base all employment decisions--including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay-offs, return from lay-off, terminations and social/recreational programs--on valid job requirements. If you need assistance accessing or reviewing the information on this website or need help submitting an application for employment or requesting an accommodation, please contact us at _ for further assistance. _ CrowdStrike participates in the E-Verify program. _ _ CrowdStrike, Inc. is committed to fair and equitable compensation practices. Placement within the pay range is dependent on a variety of factors including, but not limited to, relevant work experience, skills, certifications, job level, supervisory status, and location. The base salary range for this position for all U.S. candidates is $120,000 - $180,000 per year, with eligibility for bonuses, equity grants and a comprehensive benefits package that includes health insurance, 401k and paid time off. For detailed information about the U.S. benefits package, please _.

Machine Learning Engineer 4 (Python, AWS, SQL, GenAI) (Enterprise Platforms Technology)\n \n \n Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you’ll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. \n \n Enterprise Platforms Technology (EPTech) comprises many of Capital One’s most important enterprise platforms. We play an essential role in establishing practices for building technology solutions across the company, while also delivering capabilities that exemplify those practices. \n \n Team: \n The Marketing and Messaging team is responsible for delivering hyper-personalized messages and experiences that will delight the customer, attract prospects and drive increasing business value. The team builds scalable platforms that deliver omnichannel messages in owned and paid Adtech channels. \n \n What You’ll Do: \n\n • The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following:\n, • Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams\n, • Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation)\n, • Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment \n, • Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications\n, • Retrain, maintain, and monitor models in production\n, • Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale\n, • Construct optimized data pipelines to feed ML models\n, • Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code \n, • Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI\n, • Use programming languages like Python, Scala, or Java\n\n \n Basic Qualifications: \n\n • Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)\n, • At least 4 years of experience programming with Python, Java, Golang, or C++\n, • At least 4 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn)\n, • At least 4 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data\n, • At least 2 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems\n\n \n Preferred Qualifications: \n\n • Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field\n, • 3+ years of experience optimizing ML algorithms, configurations, and infrastructure\n, • 3+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. \n, • 3+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans.\n, • 3+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting)\n, • 3+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models.\n, • 1+ years of experience as a technical lead developing ML solutions using industry best practices, patterns, and automation \n, • Authored/co-authored a paper on a ML technique, model, or proof of concept\n\n \n At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer). \n \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n McLean, VA: $197,300 - $225,100 for Machine Learning Engineer 4\n \n New York, NY: $215,200 - $245,600 for Machine Learning Engineer 4\n \n Plano, TX: $179,400 - $204,700 for Machine Learning Engineer 4\n \n Richmond, VA: $179,400 - $204,700 for Machine Learning Engineer 4\n \n San Francisco, CA: $215,200 - $245,600 for Machine Learning Engineer 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn’t changed — we’re here to stop breaches, and we’ve redefined modern security with the world’s most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We're proud to work for a mission-driven company leveraging AI to transform the way we work. CrowdStrikers drive their careers through flexibility and autonomy while also being expected to contribute to a culture of responsible AI adoption, experimentation, and innovation. We use an AI-first mindset as a force multiplier to proactively and continuously accelerate execution, build expertise, uncover insights, and solve complex problems. We’re always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you. About the Role: We're hiring a Product Analytics Engineer for CrowdStrike's Product Insights team. Our team designs, builds, and maintains the analytics data systems that power the award-winning Falcon Console. This work is foundational; it enables fast, accurate, data-driven decision-making that keeps customers raving about our products. As a Product Analytics Engineer, you'll build data systems that deliver actionable insights on how users interact with our products and services. You'll capture, transform, and integrate data from multiple sources into a unified analytics platform, all while working with a team that's innovating to protect customers from increasingly complex threat actors. This role requires navigating ambiguity and undefined problem spaces, working across multiple product groups and disciplines to drive impact. We build teams of technically strong people who make each other better. That means bringing sharp skills while staying curious and humble, and genuinely caring about the growth and success of those around you. If you love exchanging ideas and are as invested in your teammates' wins as your own, this is the place for you. We want someone with technical skills and the right mindset: A self-starter who wants to grow and learn You make choices based on data and good judgment You lead by helping others and sharing knowledge You work well with others and get people aligned You adapt when priorities change You do the right thing for colleagues and users You use AI tools to work faster Design and build our data systems and analytics tools Deliver accurate insights that drive business choices and product decisions Balance several projects at once and tell stakeholders about trade-offs Build data pipelines that process large amounts of data Use AI tools daily and share how you use them with the team Ask smart questions and shape outcomes, not just do tasks Own your work and make sure it succeeds Required: Bachelor's degree in Computer Science, Engineering, Math, Statistics, or related field (or equal work experience) Strong programming skills in at least one modern language (Python, Go, or similar) Deep SQL expertise and hands-on experience with modern data platforms (RDBMS, NoSQL, or Graph databases) You can design systems for moving and changing data at scale using tools like Kubernetes and Docker Experience with cloud infrastructure (AWS, GCP, OCI, or Azure) Strong data visualization and storytelling skills; you can construct concise, coherent narratives supported by appropriate visualizations using BI tools such as Tableau, Looker, Power BI, or similar platforms A thorough understanding of engineering best practices - from testing paradigms to peer code reviews and resilient architecture design Excellent communication skills: you can translate complex technical concepts to cross-functional audiences Experience in a SaaS environment Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes. Bonus Points: Experience using predictive analytics, machine learning, and/or AI to solve business problems Experience designing and executing enterprise-scale semantic layers to standardize business meaning and enable trusted analytics and AI use cases Thought leadership analytics and data engineering Experience with Snowflake, Amplitude, Tableau, or other modern analytics platforms Thrives in fast, team-based, and iterative programming environments Track record of high-quality work on time You'll be working on systems that directly impact how CrowdStrike protects millions of users worldwide. The data architecture you build will inform critical product decisions, surface threats faster, and ultimately help our customers stay ahead of adversaries. You'll have the autonomy to shape our analytics stack and the support of a team that values your growth as much as your output. #LI-AP1 Benefits of Working at CrowdStrike: • Market leader in compensation and equity awards, • Comprehensive physical and mental wellness programs, • Competitive vacation and holidays for recharge, • Paid parental and adoption leaves, • Professional development opportunities for all employees regardless of level or role, • Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections, • Vibrant office culture with world class amenities, • Great Place to Work Certified™ across the globe CrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program. CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy-related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law. We base all employment decisions--including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay-offs, return from lay-off, terminations and social/recreational programs--on valid job requirements. If you need assistance accessing or reviewing this website, submitting an application, requesting an accommodation, or providing feedback on the job posting, please contact us at _. _ CrowdStrike participates in the E-Verify program. _ _ CrowdStrike, Inc. is committed to fair and equitable compensation practices. Placement within the pay range is dependent on a variety of factors including, but not limited to, relevant work experience, skills, certifications, job level, supervisory status, and location. The base salary range for this position for all U.S. candidates is $140,000 - $220,000 per year, with eligibility for bonuses, equity grants and a comprehensive benefits package that includes health insurance, 401k and paid time off. For detailed information about the U.S. benefits package, please _.

Job DescriptionCompany Description The FAENA Movement is one of culture, art and community. The FAENA Culture is steeped in the warmth and traditions of the south combining authentic and attentive hospitality with the world’s finest amenities. We act as a catalyst in making dreams a reality with the collaboration of ideas. Creating carefully curated spaces paired with excellence in service to delight the most sophisticated guests as they are indulged by the FAENA Culture. Following Buenos Aires and Miami Beach, Faena New York, will find its home at 500 West 18th Street, overlooking the High Line in a building designed by Bjarke Ingels Group. This latest opening will be synonymous with sophistication, glamour, breathtaking artwork, and cultural trendsetting. This opening will mark the resurgence of luxury nightlife experiences in New York with dynamic food and beverage venues and programming that will make Faena the ultimate destination for the sophisticated traveler to New York. Job Description The Floor Manager at The Living Room is responsible for ensuring seamless nightly operations and elevated guest experiences in a high-energy, entertainment-driven lounge setting. This leadership role requires mastery of flow, guest psychology, and pacing — supporting service, ambiance, and guest safety in collaboration with the bar, host, and security teams. This full time position has an annual salary of $90,000. DUTIES AND RESPONSIBILITIES Supervise and lead service during all operational hours, maintaining rhythm, energy, and precision Manage section flow, table timing, and VIP prioritization in coordination with the Maître D’ and Hosts Ensure all team members are executing service with confidence, style, and warmth Liaise with bar, kitchen, and security teams to ensure nightly alignment and safety Greet and engage high-profile, VIP, and returning guests with professionalism and discretion Resolve guest concerns swiftly, creatively, and in alignment with Faena’s elevated service culture Monitor and manage ambiance (music, lighting, scent, room pacing) throughout the evening Act as point of escalation for floor-level issues including overcapacity, guest behavior, or service lapses Support training and onboarding of all front-of-house staff in service etiquette, menu knowledge, and nightlife protocols Lead nightly pre-shift meetings and communicate key updates or programming Coach team in-the-moment during service and provide follow-up notes or recognition Monitor uniform compliance, team presence, and interdepartmental communication Ensure venue is set to standard before doors open, and reset properly at close Support with scheduling, timeclock approvals, and performance feedback Assist in event execution and service logistics for programming or private functions Qualifications 3+ years of leadership experience in a high-end lounge, nightlife, or luxury hospitality setting Deep understanding of nightlife dynamics, service pacing, and VIP handling Confident leader with a polished guest-facing presence Familiarity with POS systems, nightlife reservation platforms, and basic event coordination Comfortable working evenings, late nights, weekends, and holidays SKILLS Strong floor presence with fast decision-making and graceful authority Ability to balance service style with crowd management and safety Charismatic communicator with emotional intelligence High attention to detail in environment, staffing, and guest experience PHYSICAL DEMANDS AND WORK ENVIRONMENT Endure various physical movements throughout the work areas Ability to move safely in uneven terrain or in confined spaces Remain active, constantly moving, or prolonged periods sitting at a desk and working on a computer throughout work shift Medium Work: Exerting up to 40 pounds of force occasionally, and/or 20 pounds of force frequently, and/or up to 10 pounds of constantly moving objects, may occasionally lift and/or move up to 25 pounds Additional Information All your information will be kept confidential according to EEO guidelines.

As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn’t changed — we’re here to stop breaches, and we’ve redefined modern security with the world’s most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We're proud to work for a mission-driven company leveraging AI to transform the way we work. CrowdStrikers drive their careers through flexibility and autonomy while also being expected to contribute to a culture of responsible AI adoption, experimentation, and innovation. We use an AI-first mindset as a force multiplier to proactively and continuously accelerate execution, build expertise, uncover insights, and solve complex problems. We’re always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you. About the Role: We are seeking an Engineer III to be part of the Data Onboarding Team under NG-SIEM. The group focuses on enabling 3rd party data ingestion and onboarding experience for NG-SIEM customers, ingesting several petabytes of data per day across multiple regions from 100+ 3rd party data sources. Data Onboarding is the first critical step for a customer’s journey into NG-SIEM and data volume directly correlates with our ability to detect and hunt threats effectively. Our platform is growing to include all 1st and 3rd party data-sources and needs to scale to support unlimited data ingestion and enable customers to ingest all data. You will be part of a team and enable our vision to achieve a frictionless onboarding experience across hundreds of different data sources, including leveraging AI to build autonomous agents that facilitate seamless data onboarding for our customers. You will be contributing to key product initiatives that will require you to collaborate with team members on platform-level initiatives, with opportunities to contribute and grow into leading cross-team platform initiatives across CrowdStrike. This role is hybrid, requiring 2-3 days per week on-site at the posted location. What You'll Do: • Work on enabling data onboarding so customers can ingest petabyte-scale at millions of events per second at sub-second latencies., • Work as part of a cross-functional team including UI, UX and Data Scientists, • Solve hard problems in distributed systems, including high availability, reliability, performance and cost optimizations, • Develop systems in Go, • Support globally available, multi-region systems in production, • Lead and participate in cross-team platform-level initiatives and projects What You'll Need: • Must be a U.S. Citizen or US Permanent Resident., • Bachelor’s or Master’s degree in Computer Science or related field or equivalent work experience., • 7+ years of experience designing, implementing, and maintaining multiple software products/systems/releases, preferably in a SaaS delivery model, across all phases of the development lifecycle., • Fluency in at least one programming language, preferably Go., • Experience in large-scale (distributed) system architecture, high scalability and availability, and optimization, • Can-do attitude, and that you thrive collaborating in a team and are not afraid of taking on responsibilities., • Product focus mindset and strong ownership based on the mindset “you built it, you own it”, • Experience with streaming systems like apache kafka, transaction db’s, docker and k8s, • Strong communication skills; working collaboratively and confidently with internal stakeholders., • Proven ability to prioritize and deliver across multiple concurrent workstreams without sacrificing quality., • Work in a team of friendly, trustworthy and knowledgeable colleagues., • Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes. Bonus Points: • Experience or interest in driving agentic-AI projects, • Experience with Commercial clouds (GCP, AWS or Azure), • Prior experience in Cybersecurity, • Experience mentoring or informally guiding other engineers on technical design or code quality #LI-SS1 #LI-MK1 #LI-Remote This role will require the candidate to periodically undergo and pass additional background and fingerprint check(s) consistent with government customer requirements. Benefits of Working at CrowdStrike: • Market leader in compensation and equity awards, • Comprehensive physical and mental wellness programs, • Competitive vacation and holidays for recharge, • Paid parental and adoption leaves, • Professional development opportunities for all employees regardless of level or role, • Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections, • Vibrant office culture with world class amenities, • Great Place to Work Certified™ across the globe CrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program. CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy-related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law. We base all employment decisions--including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay-offs, return from lay-off, terminations and social/recreational programs--on valid job requirements. If you need assistance accessing or reviewing this website, submitting an application, requesting an accommodation, or providing feedback on the job posting, please contact us at _. _ CrowdStrike participates in the E-Verify program. _ _ CrowdStrike, Inc. is committed to fair and equitable compensation practices. Placement within the pay range is dependent on a variety of factors including, but not limited to, relevant work experience, skills, certifications, job level, supervisory status, and location. The base salary range for this position for all U.S. candidates is $120,000 - $185,000 per year, with eligibility for bonuses, equity grants and a comprehensive benefits package that includes health insurance, 401k and paid time off. For detailed information about the U.S. benefits package, please _.

As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn’t changed — we’re here to stop breaches, and we’ve redefined modern security with the world’s most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We're proud to work for a mission-driven company leveraging AI to transform the way we work. CrowdStrikers drive their careers through flexibility and autonomy while also being expected to contribute to a culture of responsible AI adoption, experimentation, and innovation. We use an AI-first mindset as a force multiplier to proactively and continuously accelerate execution, build expertise, uncover insights, and solve complex problems. We’re always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you. About the Role: CrowdStrike is seeking an Engineering Manager to join our Proactive Security team within Cloud Security Group. This role will lead our Proactive Protection team, focusing on helping our customers to detect and prevent threats in cloud environments through advanced detection techniques and methodologies, before they can cause harm. You will collaborate closely with cross-functional teams, product management, and security researchers to drive detection capabilities while building a team and managing direct reports. We're seeking innovative problem-solvers who can take ownership of complex technical challenges across our platform. This is an opportunity to work at unprecedented scale with cutting-edge cloud technologies while making a direct impact on organizations worldwide protecting them from sophisticated threats. This role is hybrid, on-site at one of the posted locations. Candidates should be comfortable visiting the office twice a week once the development center is established. About the Cloud Proactive Security Team: A global team of engineers that develops and maintains mechanisms to prevent cloud misconfigurations and security risks before deployment - The team builds intelligent prevention capabilities that identify and block insecure cloud configurations. Develops and maintains proactive security controls that protect Kubernetes clusters, container registries, serverless functions, and cloud workloads from emerging threats in multiple cloud vendors as well as private data centers. Creates developer-friendly tools and integrations that embed security prevention directly into CI/CD pipelines, GitOps workflows, and Kubernetes deployment processes. What You Will Do: Manage a team of engineers building and optimizing the core pipeline that protects cloud workloads, containers, and Kubernetes clusters. As an engineering manager, you will help drive and deliver on both roadmap and technical strategy, and you will be instrumental in hiring, retaining, and growing a team of highly talented engineers. Help to architect enterprise grade solutions that scale seamlessly from thousands to millions of requests per second Build and Lead a Global Team. Manage a distributed team of high-talented cloud specialized software engineers and technical leads, fostering a collaborative environment while coordinating across time zones to deliver high-quality products. Cross-Functional Collaboration. Partner with product management and engineering teams to align cloud proactive capabilities with customer needs, directly influencing CrowdStrike's Proactive detection platform evolution and organizational strategy. Ensure Quality and Accuracy. Own validation processes for proactive vulnerability detections, implementing automated workflows that maintain CrowdStrike's high standards for security solutions. Must be able to work 3+ days per week on site from our New York office. What You’ll Need: Must be a U.S. Citizen or US Permanent Resident. BS/MS in Computer Science or related field, or equivalent work experience 7+ years of experience in Software Engineering roles with at least 3+ years in management positions. Security and/or Cloud Security experience is required Understanding of cloud security concepts such as CSPM, CWPP, and CNAPP Exposure to cloud security products, including product direction for AI/ML, XDR, SIEM, SOAR, or related cybersecurity domains. Familiarity with container and Kubernetes security (build-time and runtime) Solid design and problem-solving skills with a demonstrated passion for engineering excellence, quality, security, and performance Broad grounding in all aspects of distributed systems development Experience with Kafka, Cassandra, ElasticSearch technologies Experience building systems at cloud scale and container orchestration technologies such as Kubernetes Proficiency with at least one major cloud platform (AWS, Azure, or GCP) Experience with modern programming languages such as Go, Python, Java, C++, Rust or similar languages Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes. Exceptional communication skills, with the ability to convey complex technical concepts clearly to both executive and engineering audiences, in writing and verbally Strong cross-functional collaboration skills, with a proven ability to partner effectively across engineering, product management, support, and sales engineering Demonstrated success recruiting and hiring strong engineering talent Proven track record of mentoring and developing engineers, helping them grow in their careers and technical skills Bonus Points: Remote/distributed multi-team leadership experience Experience with organizational scaling and process optimization #LI-JC1 This role will require the candidate to periodically undergo and pass additional background and fingerprint check(s) consistent with government customer requirements. Benefits of Working at CrowdStrike: Market leader in compensation and equity awards Comprehensive physical and mental wellness programs Competitive vacation and holidays for recharge Paid parental and adoption leaves Professional development opportunities for all employees regardless of level or role Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections Vibrant office culture with world class amenities Great Place to Work Certified™ across the globe CrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program. CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy-related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law. We base all employment decisions--including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay-offs, return from lay-off, terminations and social/recreational programs--on valid job requirements. If you need assistance accessing or reviewing the information on this website or need help submitting an application for employment or requesting an accommodation, please contact us at _ for further assistance. _ CrowdStrike participates in the E-Verify program. _ _ CrowdStrike, Inc. is committed to fair and equitable compensation practices. Placement within the pay range is dependent on a variety of factors including, but not limited to, relevant work experience, skills, certifications, job level, supervisory status, and location. The base salary range for this position for all U.S. candidates is $140,000 - $215,000 per year, with eligibility for bonuses, equity grants and a comprehensive benefits package that includes health insurance, 401k and paid time off. For detailed information about the U.S. benefits package, please _.

AI Engineer 5 (AI Foundations: LLM Customization, Finetuning, Reinforcement Learning)\n \n \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n What You’ll Do: \n\n • \n Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. \n • \n Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. \n • \n Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. \n • \n Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. \n • \n Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. \n • \n Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems \n • \n Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency \n • \n Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards \n • \n Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity \n\n \n The Ideal Candidate: \n\n • \n You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good \n • \n Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production \n • \n You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven \n • \n You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss \n • \n You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown \n\n \n Basic Qualifications: \n\n • \n Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies \n • \n At least 6 years of experience programming with Python, Go, Scala, CUDA, or Java \n\n \n Preferred Qualifications: \n\n • \n Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy \n • \n 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) \n • \n Experience designing, developing, delivering, and supporting complex AI systems \n • \n Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang \n • \n Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost \n • \n Experience in building agentic AI systems and agentic workflows \n • \n Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production \n • \n Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers \n • \n Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines \n • \n Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes \n • \n Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression \n • \n Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $229,900 - $262,400 for AI Engineer 5\n \n McLean, VA: $229,900 - $262,400 for AI Engineer 5\n \n New York, NY: $250,800 - $286,200 for AI Engineer 5\n \n San Francisco, CA: $250,800 - $286,200 for AI Engineer 5\n \n San Jose, CA: $250,800 - $286,200 for AI Engineer 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

AI Engineer 4 (Vision model (VLM) customization experience)\n \n \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n What You’ll Do: \n\n • Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.\n, • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.\n, • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.\n, • Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems.\n, • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.\n, • Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment\n, • Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift\n, • Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines\n, • Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met\n, • Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation\n\n \n The Ideal Candidate: \n\n • You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good\n, • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production\n, • You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven\n, • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss\n, • You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown\n\n \n Basic Qualifications: \n\n • Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies\n, • At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java\n\n \n Preferred Qualifications: \n\n • Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy\n, • 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)\n, • Experience designing, developing, delivering, and supporting AI services\n, • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang\n, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost\n, • Experience in building agentic AI systems and agentic workflows\n, • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production\n, • Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale\n, • Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules\n, • Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $197,300 - $225,100 for AI Engineer 4\n \n McLean, VA: $197,300 - $225,100 for AI Engineer 4\n \n New York, NY: $215,200 - $245,600 for AI Engineer 4\n \n San Jose, CA: $215,200 - $245,600 for AI Engineer 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).