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Sr. Lead, Machine Learning Engineer (Enterprise Platforms Technology) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. 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. What you’ll do in the role: * 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: * 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. * 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). * Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. * 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. * Retrain, maintain, and monitor models in production. * Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. * Construct optimized data pipelines to feed ML models. * Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. * 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. * Use programming languages like Python, Scala, or Java. Basic Qualifications: * Bachelor’s degree * At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) * At least 4 years of experience programming with Python, Scala, or Java * At least 3 years of experience building, scaling, and optimizing ML systems * At least 2 years of experience leading teams developing ML solutions Preferred Qualifications: * Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow * 3+ years of experience developing performant, resilient, and maintainable code * 3+ years of experience with data gathering and preparation for ML models * 3+ years of people management experience * ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents * 3+ years of experience building production-ready data pipelines that feed ML models * Ability to communicate complex technical concepts clearly to a variety of audiences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. McLean, VA: $229,900 - $262,400 for Sr. Lead Machine Learning Engineer New York, NY: $250,800 - $286,200 for Sr. Lead Machine Learning Engineer 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. 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. 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. This role is expected to accept applications for a minimum of 5 business days. 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. 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 . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. 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).

Lead AI Engineer (AI Foundations, LLM Core and Agentic AI) Overview 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. Team Description: 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. In this role, you will: * 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. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * 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. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * 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. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * 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 * At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer San Francisco, CA: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer 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. 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. 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. This role is expected to accept applications for a minimum of 5 business days. 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. 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 . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. 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).

Sr. Distinguished AI Engineer 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. Team Description: 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. In this role, you will: * 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. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * 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. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * 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. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * 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 * At least 10 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience architecting, designing, developing, integrating, delivering, and supporting complex enterprise AI systems * Demonstrated ability to lead and mentor an engineering organization and influence cross-functional stakeholders up to the SVP level * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers * Experience building and deploying multi-modal models for technologies like computer vision, speech recognition, optical character recognition, or other sensor systems in application such as robotics, digital assistants, industrial automation, autonomous driving, or related Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer Richmond, VA: $286,200 - $326,700 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer 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. 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. 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. This role is expected to accept applications for a minimum of 5 business days. 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. 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 . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. 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).

Senior Manager, Machine Learning Engineering As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you’ll do in the role: 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: * 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. * 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). * Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. * 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. * Retrain, maintain, and monitor models in production. * Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. * Construct optimized data pipelines to feed ML models. * Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. * 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. * Use programming languages like Python, Scala, or Java. Basic Qualifications: * Bachelor’s Degree * At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) * At least 4 years of experience programming with Python, Scala, or Java * At least 3 years of experience building, scaling, and optimizing ML systems * At least 2 years of experience leading teams developing ML solutions * At least 4 years of people management experience Preferred Qualifications: * Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field * 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow * 3+ years of experience developing performant, resilient, and maintainable code * 3+ years of experience with data gathering and preparation for ML models * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * 3+ years of experience building production-ready data pipelines that feed ML models * Ability to communicate complex technical concepts clearly to a variety of audiences * ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. McLean, VA: $229,900 - $262,400 for Sr. Mgr, Machine Learning Engineering New York, NY: $250,800 - $286,200 for Sr. Mgr, Machine Learning Engineering 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. 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. 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. This role is expected to accept applications for a minimum of 5 business days. 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. 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 . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. 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).

Applied Researcher I Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. 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 building world-class applied science and engineering teams and continue 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. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: * Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. * Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. * Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. * Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. * Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: * You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers. * Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. * Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. * A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond. * Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. * Has a deep understanding of the foundations of AI methodologies. * Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. * An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. * Experience in delivering libraries, platform level code or solution level code to existing products. * A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. * Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: * Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research Preferred Qualifications: * PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields * LLM * PhD focus on NLP or Masters with 5 years of industrial NLP research experience * Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) * Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) * Publications in deep learning theory * Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR * Behavioral Models * PhD focus on topics in geometric deep learning (Graph Neural Networks, Sequential Models, Multivariate Time Series) * Multiple papers on topics relevant to training models on graph and sequential data structures at KDD, ICML, NeurIPs, ICLR * Worked on scaling graph models to greater than 50m nodes * Experience with large scale deep learning based recommender systems * Experience with production real-time and streaming environments * Contributions to common open source frameworks (pytorch-geometric, DGL) * Proposed new methods for inference or representation learning on graphs or sequences * Worked datasets with 100m+ users * Optimization (Training & Inference) * PhD focused on topics related to optimizing training of very large deep learning models * Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression * Experience optimizing training for a 10B+ model * Deep knowledge of deep learning algorithmic and/or optimizer design * Experience with compiler design * Finetuning * PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) * Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance * Experience deploying a fine-tuned large language model * Data Preparation * Publications studying tokenization, data quality, dataset curation, or labeling * Contribution to a major open source corpus * Contribution to open source libraries for data quality, dataset curation, or labeling Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. Cambridge, MA: $218,700 - $249,600 for Applied Researcher I McLean, VA: $218,700 - $249,600 for Applied Researcher I New York, NY: $238,600 - $272,300 for Applied Researcher I San Jose, CA: $238,600 - $272,300 for Applied Researcher I 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. 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. 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. This role is expected to accept applications for a minimum of 5 business days. 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. 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 . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. 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 Pembrooke and Ives is looking for a Senior Interior Designer with at least 8-12 years experience to work closely with a creative team of Designers, Project Managers and Studio Directors to provide development, production support and co-ordination throughout the project delivery process. A dependable, energetic individual with a “can-do” attitude and exceptional attention to detail, the Senior Designer is responsible for leading the efforts of the Decorating/FF&E team to ensure the successful completion of the project. DUTIES & RESPONSIBILITIES Projects Drawings, Documentation & Deliverables: • Oversees the execution of the decorating/design concept from project implementation to completion in conjunction with Studio Director., • Oversees the preparation, development and production of project drawings including furniture plans, custom furniture drawings, elevations, lighting plans and custom decorative finish drawings in conjunction with Studio Director. Makes corrections as necessary., • Oversees the production of 3D models and renderings in conjunction with Studio Director. Makes corrections as necessary., • Oversees the preparation, development and production of project documentation including room schemes, room sheets, decorating budgets with high/low options, and decorating schedules with project milestones and decision dates in conjunction with Studio Director. Updates documentation as required throughout the project life-cycle. Makes corrections as necessary., • Oversees the production of vendor purchase orders accurately and efficiently., • Oversees the production of client invoices packets accurately and efficiently., • Places final orders on behalf of client and expedites long-lead items to ensure timely delivery., • Produces final decorating punch list and specifications book as required., • Inspects decorative items upon delivery and arranges for remediation if required., • Oversees the installation of all decorative items.Meetings & Presentations:, • Attends, participates and leads meetings with clients, internal project team, contractors, sub-contractors and vendors by preparing agendas, taking meeting notes and preparing meeting minutes., • Oversees all client presentations in conjunction with other project team members. Sourcing, Selection & Specification:, • Sources, selects and specifies furniture, window treatments, drapery, fabrics, wall covering, wall treatments, lighting, carpeting, regular painting, decorative painting, decorative finishes, decorative art (non-collectable) and accessories as required for the project in accordance with the project budget and schedule.People Leadership:, • Acts as mentor by coaching and motivating design teams and individuals; fostering an environment of mutual respect and trust among members of the group as it grows and develops., • Participates in interviews and recruiting of professional staff.SKILLS & QUALIFICATIONS, • Possesses a high taste level and has knowledge of high-end luxury interior design. Follows and speaks to current industry trends on space, function, decorative lighting, fabrics, furniture and equipment, etc., • Able to make decisions and communicate in a fast-paced environment., • Highly presentable, intelligent, confident and discreet with an outgoing, upbeat and confident demeanor., • Goal and detail-oriented with exceptional communication skills (both written and verbal)., • Proficient in the use AutoCAD, Adobe Photoshop, and Microsoft Office programs. Studio Designer a plus., • Possess sophisticated knowledge of interior design principles/practices., • A Bachelor’s Degree in Interior Design. BENEFITS • Health, Dental, Vision and Life Insurance, • 401(k) Match, • Commuter Benefits, • Paid Time Off, • Paid Parental Leave Plans, • Paid Holidays Powered by JazzHR Vqv4doOTmd

Applied Researcher II Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. 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 building world-class applied science and engineering teams and continue 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. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: * Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. * Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. * Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. * Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. * Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: * You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers. * Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. * Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. * A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond. * Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. * Has a deep understanding of the foundations of AI methodologies. * Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. * An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. * Experience in delivering libraries, platform level code or solution level code to existing products. * A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. * Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: * Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research Preferred Qualifications * PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields * LLM * PhD focus on NLP or Masters with 5 years of industrial NLP research experience * Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) * Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) * Publications in deep learning theory * Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR * Behavioral Models * PhD focus on topics in geometric deep learning (Graph Neural Networks, Sequential Models, Multivariate Time Series) * Multiple papers on topics relevant to training models on graph and sequential data structures at KDD, ICML, NeurIPs, ICLR * Worked on scaling graph models to greater than 50m nodes * Experience with large scale deep learning based recommender systems * Experience with production real-time and streaming environments * Contributions to common open source frameworks (pytorch-geometric, DGL) * Proposed new methods for inference or representation learning on graphs or sequences * Worked datasets with 100m+ users * Optimization (Training & Inference) * PhD focused on topics related to optimizing training of very large deep learning models * Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression * Experience optimizing training for a 10B+ model * Deep knowledge of deep learning algorithmic and/or optimizer design * Experience with compiler design * Finetuning * PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) * Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance * Experience deploying a fine-tuned large language model * AI Safety * PhD focused on topics related to adversarial machine learning, red teaming and model alignment. * Deep expertise in limit seeking security research, including deconstructing LLM architectures to identify novel attack surfaces like prompt injection, model inversion, and RAG poisoning. * Proven track record of developing scalable evaluation suites and automated red teaming frameworks to move emerging academic threats into practical, real world defensive applications. * Foundational research in high-stakes AI deployment, bridging the gap between AI Explainability, reliability, and the rigorous fine tuning required for real world use cases. * Active contributor to the AI Safety discourse, with the ability to document technical vulnerabilities and their direct impact on model privacy, alignment, and organizational risk. Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. McLean, VA: $262,500 - $299,600 for Applied Researcher II New York, NY: $286,400 - $326,800 for Applied Researcher II San Jose, CA: $286,400 - $326,800 for Applied Researcher II 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. 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. 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. This role is expected to accept applications for a minimum of 5 business days. 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. 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 . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. 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).

Lead AI Engineer (Gen AI Platform Services) Overview 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. Team Description: 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. In this role, you will: * 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. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * 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. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * 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. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * 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 * At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. New York, NY: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer 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. 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. 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. This role is expected to accept applications for a minimum of 5 business days. 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. 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 . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. 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).

Senior Lead AI Engineer (LLM Customization and Finetuning) Overview: 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. Team Description: 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. In this role, you will: * 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. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * 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. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * 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. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * 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 * At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer 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. 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. 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. This role is expected to accept applications for a minimum of 5 business days. 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. 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 . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. 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).

Lead Machine Learning Engineer (MLOps, KServe + building Kubernetes Clusters, PyTorch, TensorFlow on AWS) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. Team Description: 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. What you’ll do in the role: 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: * 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. * 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). * Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. * 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. * Retrain, maintain, and monitor models in production. * Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. * Construct optimized data pipelines to feed ML models. * Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. * 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. * Use programming languages like Python, Scala, or Java. Basic Qualifications: * Bachelor’s degree * At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) * At least 4 years of experience programming with Python, Scala, or Java * At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: * Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field * 3+ years of experience building production-ready data pipelines that feed ML models * 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow * 2+ years of experience developing performant, resilient, and maintainable code * 2+ years of experience with data gathering and preparation for ML models * 2+ years of people leader experience * 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance * ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). 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. Cambridge, MA: $197,300 - $225,100 for Lead Machine Learning Engineer McLean, VA: $197,300 - $225,100 for Lead Machine Learning Engineer New York, NY: $215,200 - $245,600 for Lead Machine Learning Engineer Richmond, VA: $179,400 - $204,700 for Lead Machine Learning Engineer San Jose, CA: $215,200 - $245,600 for Lead Machine Learning Engineer 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. 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. 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. This role is expected to accept applications for a minimum of 5 business days. 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. 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 . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. 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).

Applied Researcher II (AI Foundations) Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. 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 building world-class applied science and engineering teams and continue 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. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: * Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. * Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. * Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. * Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. * Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: * You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers. * Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. * Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. * A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond. * Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. * Has a deep understanding of the foundations of AI methodologies. * Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. * An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. * Experience in delivering libraries, platform level code or solution level code to existing products. * A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. * Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: * Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research Preferred Qualifications: * PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields * LLM * PhD focus on NLP or Masters with 5 years of industrial NLP research experience * Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) * Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) * Publications in deep learning theory * Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR * Optimization (Training & Inference) * PhD focused on topics related to optimizing training of very large deep learning models * Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression * Experience optimizing training for a 10B+ model * Deep knowledge of deep learning algorithmic and/or optimizer design * Experience with compiler design * Finetuning * PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) * Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance * Experience deploying a fine-tuned large language model Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. Cambridge, MA: $262,500 - $299,600 for Applied Researcher II McLean, VA: $262,500 - $299,600 for Applied Researcher II New York, NY: $286,400 - $326,800 for Applied Researcher II San Jose, CA: $286,400 - $326,800 for Applied Researcher II 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. 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. 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. This role is expected to accept applications for a minimum of 5 business days. 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. 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 . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. 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).

Lead AI Engineer (AI Foundations) Overview 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. Team Description: 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. In this role, you will: * 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. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * 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. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * 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. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * 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 * At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer 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. 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. 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. This role is expected to accept applications for a minimum of 5 business days. 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. 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 . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. 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 DescriptionOriginally founded in 1991 as Harlem RBI, DREAM has grown to annually serve more than 2,500 youth across East Harlem and the South Bronx through a network of seven PreK-12, extended-day, extended-year DREAM Charter Schools and community sports-based youth development programs. Through our commitment to rigorous academics, social-emotional learning, deep family and community engagement, and health and wellness, we create lifelong learners who are equipped to fulfill their vision of success in and out of the classroom. We dream big, as well, with an aggressive five-year plan to expand to serve 3,500 students across seven schools—growing our organization’s impact and leveling the playing field for all children. To learn more, visit wearedream.org. DREAM has partnered with Brigaid to build our own in-house food service program, which will launch in Fall 2023 at our state-of-the-art school in the South Bronx and eventually expand to two additional DREAM locations in East Harlem and the Bronx. At scale, this program will serve breakfast, lunch, and likely dinner to 1,300 students almost 365 days of the year, along with providing curated food programs for DREAM alumni, families, and community members. The South Bronx campus will be the central hub for DREAM’s food and wellness programs as well as the main culinary event space for high-profile external events. Reporting to DREAM’s Director of Special Projects, DREAM’s Part-Time Cooks will work closely with the Brigaid Program Chef and kitchen team to execute DREAM’s vision of a best-in-class food and nutrition program. Cooks will be responsible for producing and serving daily meals to DREAM students and staff, and will maintain the kitchen and storage spaces to the highest level of organization, cleanliness, and safety. This is an exciting opportunity for culinary professionals committed to supporting the community’s engagement with food to help execute a one of a kind food program in service of DREAM’s students and families.Responsibilities • Daily execution of DREAM’s National School Lunch Program (NSLP)-compliant food service program;, • Daily production and service of meals for DREAM students and staff, using NSLP-compliant recipes;, • Receiving and storing deliveries;, • Assisting with monthly physical inventory of food and supplies;, • Maintaining required records, including those related to food production, purchasing, and inventory, as well as all HACCP documentation, including food safety and temperature logs;, • Monitoring feedback and preferences from students and communicating feedback to the Lead Cook;, • Assisting with food production for special events, such as fundraisers and community meals;, • Interfacing with DREAM students, employees, and leadership from a wide variety of backgrounds, establishing and maintaining strong relationships with families, students, and school staff and leaders;, • Ensuring food safety, cleanliness and organization standards are maintained to the highest level at all times;, • Maintaining DREAM kitchen operating standards and protocols that promote the highest level of food quality, food safety and consistency and adhering to all United States Department of Agriculture (USDA) and Department of Health (DOH) guidelines and regulations;, • Additional tasks as necessary, including dishwashing, cleaning, and organizing kitchen and storage areas.Qualifications, • At least 1 years of professional cooking experience;, • Valid NYC DOH Food Protection Certificate, or the ability to take the self-paced course and pass the exam prior to starting;, • Strong understanding of good food safety practices;, • Strong cooking ability, with understanding of all basic cooking techniques and the ability to follow recipes and use basic math to determine preparation quantities;, • The ability to collaborate on setting and implementing a vision of excellence;, • The ability to learn and adhere to USDA NSLP and Child and Adult Care Food Program (CACFP) standards and regulations;, • Strong communication skills, including the ability to communicate effectively with various audiences, including colleagues, students and families;, • Flexibility in accommodating emergencies or changes in schedule;, • The desire and ability to receive and implement feedback;, • A commitment to working with diverse populations of families and students;, • A strong belief in the mission and values of DREAM, including the belief that all students can succeed, and a deep desire to make a difference in the lives of DREAM students, families, and the community.Physical Requirements, • Ability to lift, carry, and push supplies and boxes up to 50 pounds, • Ability to stand for long periods of time, bend, kneel, and reach to store/retrieve supplies, • Occasional environment exposures to inclement weatherWorking Expectations, • Cooks will work 6 hour shifts, 5 days per week, between approximately 6:00 AM-3:30 PM (varies by day and time of year)., • This role is open at two of our sites, both in the Bronx: 20 Bruckner Blvd. (for immediate hire) and 1162 River Ave. (for a July 1 start date)BenefitsDREAM offers the following benefits to our part-time employees:, • 403(b) retirement plan, with employer matching up to 4% after one year of employment (12-month continuous period) in which you work a minimum of 1,000 hours;, • Disability benefits;, • Referral bonuses;, • Access to our Employee Discount Program, offering savings on travel, entertainment, retail, and more;, • High-performing part-time staff have the opportunity to apply for the DREAM Teaching Fellowship, through which they earn a Masters degree and become full-time teachers at DREAM.Compensation If you are a current DREAM employee, please click here to review our Internal Selection Process before applying. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. 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.

Lead AI Engineer (MLX) Overview 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. Team Description: 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. In this role, you will: * 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. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * 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. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * 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. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * 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 * At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer San Francisco, CA: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer 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. 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. 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. This role is expected to accept applications for a minimum of 5 business days. 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. 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 . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. 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).

Applied Researcher I (Multi-agent Systems, Knowledge Graphs/GraphRAG/Graph-of-Thought / GoT, MCP, LangGraph, Agent Protocols) Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. 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 building world-class applied science and engineering teams and continue 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. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. The AI Foundations – AI Software Engineering team builds scalable, state-of-the-art AI architectures designed to transform the software development lifecycle at Capital One. Our goal is to empower internal engineers by developing multi-agent solutions that streamline design, code generation, system migration, and troubleshooting to operate software more effectively at scale.To achieve this, we leverage a cutting-edge stack including LangGraph, MCP, Knowledge Graphs, agent-to-agent protocols, and advanced model customization. In this role, you will: * Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. * Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. * Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. * Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. * Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: * You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers. * Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. * Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. * A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond. * Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. * Has a deep understanding of the foundations of AI methodologies. * Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. * An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. * Experience in delivering libraries, platform level code or solution level code to existing products. * A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. * Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: * Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research Preferred Qualifications: * PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields * LLM * PhD focus on NLP or Masters with 5 years of industrial NLP research experience * Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) * Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) * Publications in deep learning theory * Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR * Agentic AI Research * PhD focused on multi-agent systems, autonomous agents, planning, or reinforcement learning * Hands-on experience developing and deploying multi-agent architectures (e.g., using frameworks like LangGraph or specialized agent protocols) * Experience with techniques like tool-use integration, memory management for agents, or verifiable agent behavior * Knowledge Graph Research * PhD focused on knowledge representation and reasoning, graph neural networks (GNNs), or large-scale data integration * Publications in relevant venues (e.g., ISWC, WWW, KDD, Neurips, ICML) on knowledge graph construction, embedding, querying, or reasoning * Experience in designing, implementing, and deploying industrial-scale Knowledge Graph solutions * Demonstrated expertise with graph databases (e.g., Neo4j, JanusGraph) and graph embedding techniques * Finetuning * PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) * Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance * Experience deploying a fine-tuned large language model Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. Cambridge, MA: $218,700 - $249,600 for Applied Researcher I McLean, VA: $218,700 - $249,600 for Applied Researcher I New York, NY: $238,600 - $272,300 for Applied Researcher I San Francisco, CA: $238,600 - $272,300 for Applied Researcher I San Jose, CA: $238,600 - $272,300 for Applied Researcher I 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. 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. 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. This role is expected to accept applications for a minimum of 5 business days. 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. 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 . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. 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).

Lead AI Engineer Overview 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. Team Description: 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. In this role, you will: * 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. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * 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. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * 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. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * 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 * At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer 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. 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. 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. This role is expected to accept applications for a minimum of 5 business days. 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. 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 . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. 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).

\n Benefits:\n \n • Competitive salary\n, • Employee discounts\n, • Training & development\n \n\n\n \nRole: Preschool Educational Director Join the fastest-growing Academy of Early Education in the nation where "Happy Happens Here"! At The Learning Experience, we are dedicated to providing a platform for showcasing talents, sharing ideas, and advancing careers in Early Childhood Education. We are currently seeking a passionate individual with daycare or preschool experience to join our team as a Preschool Center Director. What We Offer: \n\n • Competitive Benefits: Enjoy health, vision, and dental insurance, a 401K plan, a pet discount plan, child care discounts, and more!\n, • State-of-the-Art Classrooms: Lead in immersive classrooms equipped with the latest technology, materials, and resources, creating an environment where children can learn, play, and grow.\n \n\n • Lead by example, displaying passion for making a positive impact on the lives of children and employees. Create an environment of trust, rapport, and inclusivity, easily connecting with diverse groups of people.\n, • Ensure that the physical center environment adheres to health and safety standard operating procedures, maintaining full compliance with local and state licensing regulations.\n, • Build and maintain a highly qualified staff by actively sourcing, training, coaching, and engaging with current and prospective employees.\n, • Guide our teachers in implementing our proprietary curriculum, leveraging your passion for learning. Take advantage of our engaging characters to drive the curriculum, creating a fun and enriching learning experience at TLE.\n, • Drive consistent business results, measured through family retention and conversion, enrollment growth, and efficient business operations. Manage accounts receivable and payable, generate monthly P&L reports, and oversee employee payroll.\n, • Engage prospective families through both in-person and virtual center tours, effectively showcasing the benefits of our program. Organize and execute community marketing events to raise awareness and drive enrollment.\n, • Must have S95 and F07\n \n\n • Have two or more years of center leadership/management experience (highly preferred) or at least one year of center leadership/management experience (required).\n, • Possess the state-specific Administrative or Director credential, as well as any other state-specific guidelines for the role.\n, • Hold a Bachelor's degree in Early Childhood Education (ECE) or a related field (highly preferred).\n Apply today to become part of our team and help us create a happy and nurturing environment where children and families thrive! \n\n

Senior Lead AI Engineer (AI Foundations, LLM Core and Agentic AI) Overview: 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. Team Description: 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. In this role, you will: * 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. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * 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. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * 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. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * 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 * At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. Cambridge, MA: $225,400 - $257,200 for Sr. Lead AI Engineer McLean, VA: $225,400 - $257,200 for Sr. Lead AI Engineer New York, NY: $245,900 - $280,600 for Sr. Lead AI Engineer San Francisco, CA: $245,900 - $280,600 for Sr. Lead AI Engineer San Jose, CA: $245,900 - $280,600 for Sr. Lead AI Engineer 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. 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. 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. This role is expected to accept applications for a minimum of 5 business days. 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. 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 . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. 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).

Lead AI Engineer ( MLX, Gen AI Platform Services, Agentic AI) Overview 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. Team Description: 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. In this role, you will: * 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. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * 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. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * 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. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * 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 * At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer San Francisco, CA: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer 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. 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. 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. This role is expected to accept applications for a minimum of 5 business days. 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. 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 . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. 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).

Senior Lead AI Engineer 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. Team Description: 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. In this role, you will: * 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. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * 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. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * 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. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * 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 * At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer 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. 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. 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. This role is expected to accept applications for a minimum of 5 business days. 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. 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 . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. 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).

Senior Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you’ll do in the role: 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: * 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 * 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) * Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment * 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 * Retrain, maintain, and monitor models in production * Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. * Construct optimized data pipelines to feed ML models * Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code * 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 * Use programming languages like Python, Scala, or Java Basic Qualifications: * Bachelor’s Degree * At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) * At least 4 years of experience programming with Python, Scala, or Java * At least 3 years of experience building, scaling, and optimizing ML systems * At least 2 years of experience leading teams developing ML solutions Preferred Qualifications: * Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow * 3+ years of experience developing performant, resilient, and maintainable code * 3+ years of experience with data gathering and preparation for ML models * 3+ years of people management experience * ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents * 3+ years of experience building production-ready data pipelines that feed ML models * Ability to communicate complex technical concepts clearly to a variety of audiences * Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. McLean, VA: $229,900 - $262,400 for Sr. Lead Machine Learning Engineer New York, NY: $250,800 - $286,200 for Sr. Lead Machine Learning Engineer 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. 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. 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. This role is expected to accept applications for a minimum of 5 business days. 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. 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 . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. 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).

Lead AI Engineer (MLX, Agentic AI, Gen AI platform Services) 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. Team Description: 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. In this role, you will: * 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. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * 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. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * 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. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * 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 * At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer San Francisco, CA: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer 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. 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. 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. This role is expected to accept applications for a minimum of 5 business days. 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. 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 . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. 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).

Elevate your career at Marotta Controls, a New Jersey Top Workplace three years running! Dedicated to innovation, quality and excellence, we deliver cutting edge control systems for the Aerospace & Defense industry. At Marotta, we value bold thinking and teamwork, and we empower our employees to push boundaries while delivering top-tier solutions to our customers. Our team fosters a fun, collaborative culture where creativity and technical excellence thrive! Your next big opportunity starts here. Be part of a company where your work supports a mission that makes a difference-apply today! Assembly & Test Technician III About the Role As a Technician on our production team, you'll play a critical role in assembling, testing, and repairing electro-mechanical control systems used in Aerospace & Defense applications. Working in our state-of-the-art, climate-controlled manufacturing facility, you'll collaborate with production and engineering teams to meet quality and delivery goals while supporting some of the industry's most advanced platforms. We'll also provide the opportunity to complete on-site solder training to expand your skillset and prepare you for broader career growth. What You'll Do • Assemble, test, and troubleshoot electro-mechanical actuation systems and subassemblies., • Read and interpret technical documents, schematics, and drawings., • Conduct work in compliance with mil-specs, customer specifications, and regulatory standards., • Operate and maintain electronic instruments, test equipment, and precision tools., • Diagnose causes of test failures, rework units, and recommend corrective actions., • Support equipment maintenance and ensure all hand tools remain in clean working order., • Document work accurately, track parts usage, and maintain test data., • High School Diploma (minimum); A.A.S. in Electronic Engineering Technology preferred., • 5+ years of experience in a manufacturing/testing environment (less experience considered with a recent A.A.S. degree)., • Strong background in CCA testing and debugging (required)., • Hands-on experience with electro-mechanical product measurement and testing., • Proficiency with a variety of electronic test equipment., • Knowledge of Lean concepts, ESD/FOD controls, and PPE., • Strong communication skills and ability to collaborate across teams., • Proficiency in Microsoft Office and basic PC skills., • Modern heated & air-conditioned facility., • Exposure to a shop floor environment (fluids, fumes, moving parts, vibration, etc.)., • Use of PPE as required (eye, hearing, and foot protection)., • Regular standing, sitting, walking, bending, and reaching., • Ability to lift/move up to 45 lbs., • Strong manual dexterity and vision requirements (close, distance, peripheral, depth perception). Pay Range: $30 - $39 per hour This position is at our Parsippany, NJ office location. Many of our contracts require proof that you are a U.S. citizen and/or that an export license has been obtained for employees who are citizens of certain countries. Your employment, both initially and continually thereafter, is conditioned on production of such proof of citizenship and/or any export license that may be required to comply with any and all applicable laws, regulations, or executive orders, or required by Federal, State, or local government contracts. At Marotta Controls, we are committed to a fair, performance-driven compensation approach that promotes consistency across all levels of our organization. We ensure that pay decisions are free from bias, based on objective criteria, and are regularly reviewed. Your level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, experience, and internal consistency. Additionally, we offer a highly competitive compensation package for this opportunity, including incentive compensation and a comprehensive suite of premium benefits. These include medical, prescription, dental, vision, life, and disability insurance, a 401(k) plan with company match, tuition assistance, paid vacation, sick and personal days, paid holidays, and flexible scheduling options such as compressed workweeks. We value and reward employee achievements and host multiple engagement events each quarter to foster a strong, supportive workplace culture. If you are looking to grow or accelerate your career and be part of a best in class organization while enjoying a work-life balance, please visit our website at to learn more about us and to apply. Check out all of our openings at VETERANS ARE ENCOURAGED TO APPLY No agencies, please. Pay Range: $30 - $34 per hour

Distinguished AI Engineer Overview: 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. Team Description: 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. In this role, you will: * You will play a crucial role to architect and launch conversational experiences that are powered by state of art Generative AI capabilities to millions of Capital One customers * 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. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * 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. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * 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. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, Engineering, or AI plus at least 8 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 6 years of experience developing AI and ML algorithms or technologies * At least 8 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 8 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Master's degree in Computer Science, Computer Engineering, or relevant technical field * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying on top of the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. Cambridge, MA: $269,100 - $307,200 for Distinguished AI Engineer McLean, VA: $269,100 - $307,200 for Distinguished AI Engineer New York, NY: $293,600 - $335,100 for Distinguished AI Engineer 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. 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. 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. This role is expected to accept applications for a minimum of 5 business days. 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. 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 . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. 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).

Applied Researcher II (AI Foundations, LLM Core and Agentic AI) Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. 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 building world-class applied science and engineering teams and continue 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. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: * Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. * Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. * Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. * Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. * Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: * You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers. * Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. * Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. * A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond. * Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. * Has a deep understanding of the foundations of AI methodologies. * Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. * An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. * Experience in delivering libraries, platform level code or solution level code to existing products. * A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. * Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: * Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research Preferred Qualifications: * PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields * LLM * PhD focus on NLP or Masters with 5 years of industrial NLP research experience * Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) * Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) * Publications in deep learning theory * Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR * Behavioral Models * PhD focus on topics in geometric deep learning (Graph Neural Networks, Sequential Models, Multivariate Time Series) * Multiple papers on topics relevant to training models on graph and sequential data structures at KDD, ICML, NeurIPs, ICLR * Worked on scaling graph models to greater than 50m nodes * Experience with large scale deep learning based recommender systems * Experience with production real-time and streaming environments * Contributions to common open source frameworks (pytorch-geometric, DGL) * Proposed new methods for inference or representation learning on graphs or sequences * Worked datasets with 100m+ users * Optimization (Training & Inference) * PhD focused on topics related to optimizing training of very large deep learning models * Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression * Experience optimizing training for a 10B+ model * Deep knowledge of deep learning algorithmic and/or optimizer design * Experience with compiler design * Finetuning * PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) * Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance * Experience deploying a fine-tuned large language model Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. Cambridge, MA: $262,500 - $299,600 for Applied Researcher II McLean, VA: $262,500 - $299,600 for Applied Researcher II New York, NY: $286,400 - $326,800 for Applied Researcher II San Jose, CA: $286,400 - $326,800 for Applied Researcher II 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. 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. 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. This role is expected to accept applications for a minimum of 5 business days. 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. 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 . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. 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).

Senior Lead AI Engineer (FM Hosting, LLM Inference) Overview: 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. Team Description: 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. In this role, you will: * 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. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * 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. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * 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. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * 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 * At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer 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. 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. 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. This role is expected to accept applications for a minimum of 5 business days. 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. 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 . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. 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).

Senior Lead AI Engineer (Gen AI Platform Services, Agentic AI) Overview: 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. Team Description: 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. In this role, you will: * 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. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * 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. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * 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. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * 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 * At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer 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. 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. 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. This role is expected to accept applications for a minimum of 5 business days. 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. 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 . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. 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).

Location: Multiple Locations - New Jersey Job Type: Full-Time | Salary: From $240,000/year Join Us - Where Compassion Meets Clinical Excellence We are committed to delivering high-quality, patient-centered cardiovascular and internal medicine care. Our dedicated team of physicians, advanced practice providers, and clinical staff work together to provide exceptional care across multiple state-of-the-art locations throughout New Jersey. We are seeking a Board-Certified or Board-Eligible Internal Medicine Physician who shares our vision of excellence and compassion in patient care. This is an excellent opportunity to join a rapidly growing, multidisciplinary practice with opportunities for professional growth. • Provide comprehensive internal medicine care for adult patients., • Diagnose, manage, and treat acute and chronic medical conditions including hypertension, diabetes, and cardiovascular diseases., • Collaborate with cardiologists and other specialists to coordinate patient care., • Emphasize preventive medicine and wellness management., • Maintain accurate and timely medical documentation in the EMR system., • Participate in practice meetings, quality initiatives, and continuing education activities., • Medical degree (MD or DO) from an accredited medical school., • Completion of a residency program in Internal Medicine., • Board Certification or Eligibility in Internal Medicine., • Valid medical license to practice in New Jersey., • Strong interpersonal and communication skills to establish rapport with patients and effectively collaborate with a multidisciplinary team., • Empathy and compassion in providing patient-centered care., • Ability to manage time effectively and prioritize patient care needs., • Dedication to providing high-quality, evidence-based medical care., • Commitment to professional growth and staying current with medical advancement, • Competitive salary: From $240,000 per year, • 401(k) Retirement Plan, • Health, Dental, Vision, and Life Insurance, • Malpractice Insurance Coverage, • Paid Time Off, • Relocation Assistance

Were a physician-led, patient-centric network committed to simplifying health care and bringing a more connected kind of care. Our primary, multispecialty, and urgent care providers serve millions of patients in traditional practices, patients' homes and virtually through VillageMD and our operating companies ___, ___, ___, ___, and ___. When you join our team, you become part of a compassionate community of people who work hard every day to make health care better for all. We are innovating value-based care and leveraging integrated applications, population insights and staffing expertise to ensure all patients have access to high-quality, connected care services that provide better outcomes at a reduced total cost of care. Summit Health is seeking Board Certified/Board Eligible Breast Surgeon to join our established practice in Fair Lawn and Clifton, New Jersey. Our breast surgeons utilize the most advanced imaging technology, technical and surgical expertise, and state-of-the-art technology to deliver the highest standard of comprehensive support and surgical care for all stages of breast cancer. Summit Health breast surgeons partner with a multidisciplinary team that includes surgical oncologists, medical oncologists, radiation oncologists, breast radiologists, plastic and reconstructive surgeons, pathologists, breast nurse navigators, imaging navigators, and counselors for nutrition, genetics, and cognitive therapy to help ensure your needs are met. • New Graduates are welcome to apply!, • Market competitive salary with Bonus incentives, • Shareholder Opportunity, • Supportive Mentorship Program, • Amazing Benefits including Free CME lectures & Reimbursements, generous Vacation time, & excellent Maternity/Paternity leave Required Qualifications: • Medical Degree, • Active Doctor of Medicine or Doctor of Osteopathy (M.D. or D.O.) license in the state of New Jersey as required, • Board Certification, • Active DEA license, • BLS and ACLS certification If you are an interested candidate, please reach out to our recruiters at ___ Compensation Range: $320,000 - $500,000 The provided compensation range is based on industry standards and salary determinations will be made based on numerous factors including but not limited to years of experience, individual performance, quality measures and location of position. SUMMIT HEALTH We are a smoke and drug-free environment. EOE M/F/D/V Compensation Information: $320000.00 / Annually - $500000.00 / AnnuallyDetails: The provided compensation range is based on industry standards and salary determinations will be made based on numerous factors including but not limited to years of experience, individual performance, quality measures and location of position.

Ophthalmology NJ is seeking a full-time Ophthalmologist to join a thriving comprehensive ophthalmology group in northern New Jersey. This position offers a competitive salary with a bonus structure, great benefits, and a supportive team. The practice is busy both medically and surgically, seeing upwards of 40 patients a day. In partnership with RWJBarnabas Health, the largest and most integrative health system in New Jersey, the practice is affiliated with a surgery center which offers partnership opportunity, along with multiple hospitals with reimbursement for hospital call, providing ample room for growth and professional development! The practice has convenient locations right outside of New York City, and offers the perfect balance between a dynamic professional environment and convenient access to metropolitan areas. Compensation and Benefits: • Competitive Salary + Bonus Structure, • Relocation Bonus, • Generous PTO Policy, • CME Stipend Offered, • Medical Insurance Provided, • Malpractice Coverage, • Stipend for Licensure and Society Due Renewals, • Medical degree (MD or DO) from an accredited medical school, • Board certification or eligibility in Ophthalmology, • Active and unrestricted medical license in New Jersey (or eligible for licensure), • Completion of a residency in Ophthalmology, • Open to various applicable subspecialty trainings including: Glaucoma, Corneal, and Retinal, • Strong clinical and surgical skills, • Full-Time or Part-Time opportunities available, • Both experienced providers and new graduates are encouraged to apply! About Ophthalmology NJ: Roxbury Eye Center, Eye Institute of Essex, and Marano Eye Care have merged to form Ophthalmology NJ (ONJ), now part of the RWJBarnabas Health Medical Neighborhood. Utilizing state-of-the-art technologies and surgical procedures to diagnose and treat a wide variety of eye conditions, these experienced teams have combined their talents to enhance access to eye care for patients throughout the region. Ophthalmology NJs services include: comprehensive eye exams, glaucoma diagnosis and management, cataract surgery, LASIK, corneal transplants, and retinal repairs. Ophthalmology NJ has offices in Belleville, Livingston, Mount Arlington, Denville, Newark, and Verona.

The Mount Sinai Health System is currently seeking full-time Internal Medicine Clinician Educators to join its practices in Manhattan. The Department of Medicine, under the leadership of Aaron Glatt, MD, MACP, has nearly 400 members including a superb large hospitalist program and exceptional subspecialists. There are 39 Internal Medicine Residents under the leadership of Steven Weiss, MD, and they will be moving to a brand new state-of-the-art ambulatory site at the end of the academic year. This teaching clinician position will be in charge of maintaining the high quality and excellent ambulatory experience for the residents, and will be a M-F 9-5 teaching responsibility with no required hospital care. There is no weekend coverage in house, but for those interested, there are options for moonlighting. For more senior candidates, there is the option of becoming an Associate PD and or site director of the new facility. The chosen candidates will have the opportunity to partner with world renowned, Icahn School of Medicine. Mount Sinai's Department of Medicine is strongly committed to caring for the whole patient and places special emphasis on providing patient-centered care. The division embraces the mission of Icahn School of Medicine by pursuing an integrative approach to patient care, research, and education. We pursue all dimensions of these three components, considering them inseparable elements of the art and science of medicine. Applicants will be eligible for an academic appointment based upon their prior appointments and clinical stature. Responsibilities: • University affiliated; community based teaching practice, • Benefit from the educational, research, and clinical programs of a nationally ranked Medical School, • Significant opportunities for leadership and career development, • Outpatient only working with adult patients, M-F, 9-5, • Fully integrated Electronic Health Record, • Additional support staffQualifications:, • Medical Degree from an Accredited University, • New York Medical License, • Board Eligible or Board Certified in Internal Medicine, • Committed to Mount Sinai South Nassau and the communities we serve, • Excellent communication, bedside manner, and organizational skills Salary Disclosure Information: Mount Sinai Health System provides a salary range to comply with the New York City law on Salary Transparency in Job Advertisements. Actual salaries depend on a variety of factors, including experience, specialties, historical productivity, historical collections, and hospital/community need. As such, an actual salary may fall closer to one or the other end of the range, and in certain circumstances, may wind up being outside of the listed salary range. The salary range listed is for full-time employment and does not include bonuses / incentive compensation or benefits. Equal Opportunity Employer The Mount Sinai Health System is an equal opportunity employer, complying with all applicable federal civil rights laws. We do not discriminate, exclude, or treat individuals differently based on race, color, national origin, age, religion, disability, sex, sexual orientation, gender, veteran status, or any other characteristic protected by law. We are deeply committed to fostering an environment where all faculty, staff, students, trainees, patients, visitors, and the communities we serve feel respected and supported. Our goal is to create a healthcare and learning institution that actively works to remove barriers, address challenges, and promote fairness in all aspects of our organization. Compensation Information: $240000.00 / Annually - $280000.00 / Annually

Position: STEAM Lab Instructor Location: 565 Morris Avenue Bronx, NY 10451 Salary Range: $40 per hour Hours: 10 hours per week Employment Type: Part-Time, Non-Exempt About Us Founded in 1876, The Boys Club of New York (BCNY) is a youth development organization with the mission to empower boys and young men, ages 7 to 21, by providing effective programs and a supportive community. BCNY provides evidence-based programs to address the evolving social, emotional, health, creative, educational, and vocational needs of our members in meaningful, lasting ways. BCNY develops programs to cultivate positive qualities in members and strives to continually deepen and broaden our impact. Job Summary The STEAM Lab Teacher is responsible for leading activities and projects in the STEAM Lab for small groups of upper elementary, middle school, and early high school students. STEAM Lab activities can range from 3-D printing, circuits, basic electronics, coding, and art and design. The Teacher will be responsible for bringing curriculum and project ideas to the STEAM Lab in addition to using BCNY curricula. Responsibilities * Effectively manage STEAM lab for 8 to 12 boys or young men * Engage members in fun and relevant lessons based on established curriculum and specific classroom needs * Use provided curriculum or develop appropriate STEAM curriculum as needed to engage members in project-based learning activities * Work with the Education Director to update STEAM Lab activities, projects, and curricula * Reinforce positive student behavior and clubhouse rules; maintain a positive relationship with all members, families and staff * Communicate with Education Director to discuss member progress, needs, and concerns. * Attend required department meetings and professional development trainings * Other duties as assigned Qualifications * Minimum 3 years college credits in STEAM or other relevant field; Bachelors degree preferred * At least one year of experience teaching STEAM-related programing to school-aged (middle and high school) students in a group setting preferred * Experience with Lego Mindstorm, Robotics, 3-D printers, and printing applications preferred * Familiarity with electronics and circuits * Knowledge of coding applications and programs for students (Scratch) * Strong verbal and communication skills * Understanding of strengths-based approaches to youth development What We Offer * PTO: Sick time only? The Boys Club of New York is an equal opportunity employer? and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other status protected by law. ?If you have a disability or other protected need requiring an accommodation, please contact Human Resources. PI542705371ed8-26289-40341609

The Mount Sinai Health System's Hospitalist Division is continuing to grow with Full-time, Part-time and Per Diem positions available for Daytime and Nocturnist positions in New York and Long Island. MSSN (Per Diem Hospitalist only): The successful candidate will manage and provide the clinical care of patients assigned to Hospitalist Services through the entire continuum of hospital care including, but not limited to seeing patients in the ER, on the unit, following them to the critical care unit. Hospitalist shall be responsible to ensure that each patient assigned to the service receives medically appropriate level of care on 24/7 basis. Coordinates discharge planning with the patient, family members, and care manager/discharge planner. Mount Sinai's Division of Hospital Medicine is strongly committed to providing patientcentered care. The division embraces the mission of Icahn School of Medicine by pursuing an integrate approach to patient care, education, and research. We consider these as essential elements of the art and science of medicine. Hospitalist attendings provide either daytime or nighttime coverage for hospitalist services based on their career interests and scheduling preferences. Responsibilities include coverage of patients on the Medicine units, admissions from the emergency department, medical consultation for other services. In addition to providing direct patient care, the responsibilities include supervision of medical housestaff and allied health personnel (Nurse Practitioners, Physician Assistants, etc.). Position Description: * Provide care for patients admitted to the psychiatric services * Variety of exciting services for rotations, including Co-management, Peri-operative Medicine, Observation Unit, Oncology Hospitalist, and more * Work with team members in an environment dedicated to support and faculty development * Collaborate with multi-specialty practice colleagues as an integral part of a health system * Benefit from the education, research, and clinical program of Icahn School of Medicine at Mount Sinai * Mount Sinai is one of the top ranked schools and health systems nationally * Significant opportunities for leadership and career development * Competitive benefits and salary * Dedicated support staff * This role will be part of the larger division of Hospital Medicine in our Downtown campus and health system * Per Diem Weekend Hospitalist Physician - from 18K to 80K (not including bonuses / incentive compensation or benefits) Position Qualifications: * Medical Degree from an Accredited University * New York State Medical License * Board Eligible or Board Certified in Internal Medicine * Committed to Mount Sinai and the communities we serve * Excellent communication, bedside manner, and organizational skills * A strong work ethic and desire to participate in team-oriented, performance-driven Health System Compensation range from 180K to 340K (not including bonuses / incentive compensation or benefits) Salary Disclosure Information: Mount Sinai Health System provides a salary range to comply with the New York City law on Salary Transparency in Job Advertisements. Actual salaries depend on a variety of factors, including experience, specialties, historical productivity, historical collections, and hospital/community need. As such, an actual salary may fall closer to one or the other end of the range, and in certain circumstances, may wind up being outside of the listed salary range. The salary range listed is for full-time employment and does not include bonuses / incentive compensation or benefits. Equal Opportunity Employer The Mount Sinai Health System is an equal opportunity employer, complying with all applicable federal civil rights laws. We do not discriminate, exclude, or treat individuals differently based on race, color, national origin, age, religion, disability, sex, sexual orientation, gender, veteran status, or any other characteristic protected by law. We are deeply committed to fostering an environment where all faculty, staff, students, trainees, patients, visitors, and the communities we serve feel respected and supported. Our goal is to create a healthcare and learning institution that actively works to remove barriers, address challenges, and promote fairness in all aspects of our organization.

Titel:- Art Director/Associate Creative Director Duration:- 6 months Location:- Newark, NJ - Hybrid (3 days on-site) Reports to Head of Creative The client has just launched a major new brand campaign - and needs a hands-on contract creative who can help expand and activate it across every channel. Not someone to maintain it from a distance. Someone who wants to be in the work: art directing, designing, storytelling, and pushing it further. If you're a player/coach who gets restless just reviewing other people's decks, read on. This is a direct report to the Head of Creative with creative leadership responsibility for the brand globally. A new brand campaign at this scale doesn't come around often. You'd be stepping in at the moment of activation - when the creative direction is set, but the opportunities to expand it are wide open. Not inheriting a finished system. Pushing it somewhere new. Client manages $1.5 trillion in assets across 41 offices worldwide. The scale is real. The creative freedom to match it is too. Responsibilities This isn't a management role with occasional creative input. You'll be the one making the work. Make great work Art direct and design high-profile campaigns, pitch decks, and multimedia content. Your output is the benchmark the team rallies around. Expand the campaign Take client's new brand campaign and find new ways to activate and extend it across channels. Build on the visual system, push the narratives further, and find new ways to make complex investment concepts feel compelling and clear. Elevate the team Coach and mentor internal creatives through craft, not just critique. Show what world-class looks like by doing it yourself. Own brand quality Be the final set of eyes. Keep everything sharp, on-brand, and visually excellent across every touchpoint. Collaborate and lead Partner with strategy, production, media, and business units. Manage agency relationships and budgets. Present ideas to senior leadership with clarity and conviction. Stay inspired Stay tuned to what's next - in design, technology, and culture - and bring those ideas into the work. What Makes This Contract Different A new brand campaign already in market - rare timing to step in and help define where it goes next, with real creative influence over its evolution. True player/coach role: make, don't just manage. You'll have creative freedom and the resources of a global financial powerhouse to back it up. A team that genuinely cares about craft and quality, not just output volume. Proximity to NYC with Newark's calmer pace - the office is minutes from Penn Station. Hybrid flexibility that respects deep work time as much as collaboration. Qualifications Sophisticated eye and you're not shy about using it. You can walk into a room of financial analysts and make a complex data story feel inevitable. You've worked in investment management, asset management, or financial services - so you understand the difference between retail and institutional audiences, and you know how to balance creative ambition with regulatory reality. Fluent in Adobe Creative Suite (InDesign, Photoshop, Illustrator daily). You know your way around video and animation workflows. You've led creative work while actively executing it. That's the sweet spot. That's this job. Skills & Experience 5-8 years of art direction or design experience in investment management, asset management, or financial services Portfolio showing sophisticated art direction, campaign work, data visualization, and strategic branding for financial audiences Expert-level Adobe Creative Suite (InDesign, Photoshop, Illustrator) Multimedia fluency: Video production, animation principles, Adobe Premiere Strong data storytelling - turning financial complexity into beautiful, clear visuals Proven player/coach track record: you've led creatively while staying in the work Compliance-aware: you understand how to innovate within financial services regulatory constraints Bachelor's degree in Graphic Design, Fine Arts, Advertising, or related field Team Dynamics Client operates with the urgency and ambition of a brand competing for attention in a crowded market. The people here are sharp, collaborative, and invested in making work that matters. You'll be working alongside a team that takes craft seriously and moves with purpose.

The Mount Sinai Health System is currently seeking compassionate Family Medicine Physicians to join various outpatient multi-specialty practices in Manhattan and Westchester! Manhattan: Mount Sinai Health Partners seeks a Concierge Primary Care Physician for its state-of-the-art facility in Hudson Yards! Experience required! Minimum of 8 years' experience managing a continuity panel of primary care patients. Known for its great shopping from luxury boutiques to street stalls, the West Village also boasts a variety of great nightclubs, bars and lounges. Mount Sinai Doctors-NoHo is a convenient and beautifully designed Broadway location.This amazing site is located 309 West 23rd Street (Chelsea). While working in conjunction with several other PCPs and specialists, as well as administrative staff members, the ideal candidates will play an instrumental role in ensuring excellent patient care, quality outcomes, and satisfaction. In addition, we would like our talented physician candidates to have a passion for Family Medicine and be fully committed to mission of Mount Sinai Health System. Unique opportunity to serve as a primary care physician in a retail setting in Williamsburg! West 14th street in the West Village is an established primary care practice with great access to all that the West Village has to offer. Known for its great shopping from luxury boutiques to street stalls, the West Village also boasts a variety of great nightclubs, bars and lounges. Beautiful brownstones and cobblestoned streets are only part of the West Village's historic charm. There is always something to do with an abundance of art galleries, music venues and art house cinemas. Institute for Advanced Medicine (IAM) practice: Mount Sinai seeks a Primary Care Physician to provide primary and preventive care within our interdisciplinary Institute for Advanced Medicine. In addition to providing excellent, convenient and innovative care, the physician will collaborate on health care delivery to create an exceptional patient experience. The focus will be on providing the best patient care and experience possible. The practice is located at 2875 Broadway at the corner of 112 and Broadway - Morningside Heights. Morningside Heights is located in Upper Manhattan, bounded by Morningside Park to the east, 125th Street to the north, 110th Street to the south, and Riverside Park to the west. Mount Sinai Doctors - Delancey Street is home for medical care on the Lower East Side. It provides primary and specialty care for adults and children. Mount Sinai Doctors - East 85th Street is a multispecialty medical practice located in the Yorkville neighborhood of Manhattan's Upper East Side. Our physicians and staff work together in a highly collaborative environment to provide quality care to patients of all ages. We offer primary care to children and adults, as well as prenatal care and an array of other specialties.The Union Health Center (UHC) is an innovative primary and multi-specialty center focused on providing well-coordinated and accessible healthcare. The Friedman Health Center for the Performing Arts is the medical care provider for New York City's entertainment and performing arts community. Stuyvesant Town, affectionately called StuyTown, is a large private residential development on the east side of the New York City borough of Manhattan. With 110 buildings and 11,250 apartments, StuyTown often feels more like a small town or college campus. The Mount Sinai Doctors Hartsdale Medical Practice is a primary care practice serving Westchester County. Hartsdale is one of the few communities immediately surrounding New York City that still has two working farms, both on Secor Road. It also has several parks, including Secor Woods Park, Ridge Road Park, and Rumbrook Park. Position Description: * Provide medical care in high-functioning outpatient * University affiliated; community based practice * Collaborate with multi-specialty practice colleagues as an integral part of a world-class health system * Benefit from the educational, research, and clinical programs of a nationally ranked Medical School * Significant opportunities for leadership and career development * Additional support staff Position Qualifications: * Medical Degree from an Accredited University * New York Medical License * Board Eligible or Board Certified in Family Medicine * Committed to Mount Sinai and the communities we serve * Excellent communication, bedside manner, and organizational skills * A strong work ethic and desire to participate in a team-oriented, performance-driven Health System Compensation range from 220K to 275K (not including bonuses / incentive compensation or benefits) Salary Disclosure Information: Mount Sinai Health System provides a salary range to comply with the New York City law on Salary Transparency in Job Advertisements. Actual salaries depend on a variety of factors, including experience, specialties, historical productivity, historical collections, and hospital/community need. As such, an actual salary may fall closer to one or the other end of the range, and in certain circumstances, may wind up being outside of the listed salary range. The salary range listed is for full-time employment and does not include bonuses / incentive compensation or benefits. Equal Opportunity Employer The Mount Sinai Health System is an equal opportunity employer, complying with all applicable federal civil rights laws. We do not discriminate, exclude, or treat individuals differently based on race, color, national origin, age, religion, disability, sex, sexual orientation, gender, veteran status, or any other characteristic protected by law. We are deeply committed to fostering an environment where all faculty, staff, students, trainees, patients, visitors, and the communities we serve feel respected and supported. Our goal is to create a healthcare and learning institution that actively works to remove barriers, address challenges, and promote fairness in all aspects of our organization.

Savvas Learning Company is a global education company that produces award-winning learning solutions that empower educators and engage students with the highest quality content. Recognized as an industry leader, we serve millions of K-12 learners with innovative, student-centered educational programs that turn today's classrooms into active learning environments. By embracing technology, personalized learning, and immersive experiences delivered across multiple platforms, we design our learning solutions to be more accessible and relevant to each student. Our award-winning, high-quality instructional materials span every grade level and discipline, from evidence-based, standards-aligned core curricula and supplemental and intervention programs to state-of-the-art assessment tools and the industry's most innovative portfolio of college and career readiness solutions - all designed to meet the needs of every learner. Responsibilities: * Work closely with the product management team to ensure we're building the best products. * Ability to comprehend business requirements and be able to map them to technical data requirements. * Perform research, analysis, design and implementation and provide effective solutions for short term and long term needs * Support and migrate existing systems to new platforms * Mentor other team members and developers. * Work in a team environment and share knowledge. * Evaluate new technologies and software products to determine feasibility and desirability of incorporating their capabilities into the platform. * Contributes as a hands-on software developer. To support collaboration and engagement throughout the hiring process, candidates must be based in Boston, MA; New York, NY; Chandler, AZ; Chicago, IL; Raleigh, NC; or New Orleans, LA and available for an in-person interview. Minimum qualifications * Master's or Bachelor's degree in Computer Science, with strong fundamentals and problem solving skills. * 6+ years of experience in architecture, design, analysis, development, testing, deployment, and maintenance of highly scalable database services and components. * 4+ years experience with transactional and NOSQL platforms including Redshift, Big Query, mySQL, PostGres, Mongo and DocumentDB. * At least 2 years of experience in Senior role mentoring developers * Understanding of Object Oriented Programming / Analysis and Design concepts, Design Patterns, and Software Development Life Cycle * Experience in a continuous integration process, employing a CI server, automated unit testing and deployment * Strong experience with Git and knowledge on using Github CoPilot * Understanding of Cloud Architecture - AWS is mandatory * Design, develop, and test ELT processes per business requirements, following the development standards and best practices as well as participate in code peer reviews to ensure ELT applications and code process comply with industry best practices * Strong knowledge and experience in data modeling & design with relational and NoSQL DBs * Demonstrated expertise in performance tuning in various DB environments * Experience building and scaling distributed, highly available systems in cloud env (AWS) * Establishes database management systems, standards, guidelines and quality assurance for database deliverables, such as conceptual design, logical database, capacity planning, external data interface specification, data loading plan, data maintenance plan and security policy. Nice to haves * Knowledge on DBT core for ELT processing * Knowledge on AWS services like Bedrock, Sagemaker, Amazon Glue ABOUT SAVVAS We are proud to be recognized as a Top Workplace. Our employees are our most valuable asset, and we are committed to creating a work environment that promotes their growth, well-being, and success. We develop learning solutions that empower educators and improve student outcomes thanks to our team's passion, creativity, and dedication. TOTAL REWARDS At Savvas, compensation is only one part of our total rewards package. We invest in our employees with a rewards package that combines compensation, exceptional benefits and wellness programs in addition to opportunities for professional growth. This role may also be eligible for bonus or incentive compensation. The posted hiring range reflects our good faith estimate at the time of posting and remains subject to modification. Compensation is determined by factors such as but not limited to skills, experience, budget, and internal equity. BENEFITS Starting on Day One we are committed to the health, well-being, and development of our employees. As a Savvas employee, you are eligible to participate in benefits that put you first. Our benefits include a wide range of offerings including but not limited to the following: • Medical Coverage: Choose from three distinct medical plan options. HSA/FSA options available., • Prescription Drug Benefits: Automatically included when you enroll in any medical plan., • Dental & Vision Coverage: Available to all benefits-eligible employees., • Time to Recharge: Vacation time and 10 paid holidays., • Time to Recover: Sick time and leave programs., • Financial Wellness: Employees can start securing their financial future without any delay with a 401(k) match and immediate vesting., • Wellness Programs: We recognize the importance of emotional and mental well-being, both in our work environment and in our personal lives. We are committed to providing resources and support to promote overall well-being and a healthy work-life balance. Savvas Learning Company is an Equal Opportunity Employer. Savvas Learning complies with all applicable federal, state, and local laws regarding recruitment and hiring. Savvas prohibits discrimination against individuals based on race, color, religion, national origin, sex, age, disability, and other protected group status. We strive to create a fair and inclusive workplace where everyone feels valued and respected. ___. Savvas Learning Company is an affirmative action employer and participates in ___ Notice to California Applicants: Information collected and processed as part of your Savvas Careers profile, and any job applications you choose to submit is subject to ___.

Title: Assistant Professor or Lecturer of Digital Design Department: School of Art and Design Reports To: Department Chair Position Type: Faculty Position Summary: The J. Robert and Barbara A. Hillier College of Architecture and Design (HCAD) at the New Jersey Institute of Technology (NJIT) invites applications for a full-time tenure-track (Assistant Professor) or teaching-focused (Lecturer) appointment in Digital Design. Candidates should have a clear research agenda and/or accomplished creative work and will be expected to pursue this work through scholarly activities such as publishing papers, presenting at conferences, and/or creating internationally recognized and award-winning creative works. This may include, but is not limited to, the following areas of evidence-based design methodologies: Innovative narrative and visualization technologies, such as game design and development, UI/UX, XR, AI, HCI, VFX, physical computing, or digital media and theory to teach design studio, lecture, and/or seminar courses to undergraduate and graduate students. Agendas relating to NJIT's strategic plan are welcome, and interdisciplinary collaborative practices are encouraged. Candidates should have a clear research agenda and/or accomplished creative work and will be expected to pursue this work through scholarly activities such as publishing papers and/or books, presenting at conferences, and designing peer-recognized work. Agendas relating to NJIT's strategic plan are welcome, and interdisciplinary collaborative practices are highly encouraged. Candidates should hold a terminal degree in the field from an accredited program, and a proven record of excellence in teaching, research, and/or creative practice is required. Essential Functions: -Have a clear research agenda related to their design and creative work. -Pursue this agenda through scholarly activities such as publishing papers, presenting at conferences, and/or creating internationally recognized and award-winning creative works. Agendas relating to NJIT's strategic plan are welcome, and interdisciplinary collaborative practices are highly encouraged. -Teach courses and studios in Digital Design. -Participate in service activities within HCAD and NJIT, as well as within their profession and/or discipline. Prerequisite Qualifications: -Hold a terminal degree in the field from an accredited program, or its equivalent, such as M.F.A. or Ph.D. -A proven record of excellence in teaching, research, and/or creative practice. -Expertise may originate in many creative academic or professional areas. -At the university's discretion, the education and experience prerequisites may be exempted where the candidate can demonstrate to the satisfaction of the university an equivalent combination of education and experience specifically preparing the candidate for success in the position. Bargaining Unit: PSA Salary Information: In compliance with the NJ Pay Transparency Law, if the incumbent is hired as an Assistant Professor the starting salary for this position is $85,000.00; if hired as a University Lecturer, the starting salary for this position is $65.000.00. NJIT considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/training, key skills, internal peer equity, as well as, market and organizational considerations when extending an offer. This pay range represents base pay only and excludes any additional items such as incentives, bonuses or other items. To learn more about the comprehensive benefits NJIT offers for this position, please visit our benefits page: . FLSA: Exempt Full-Time Special Instructions to Applicants: -Candidates should submit a CV, a cover letter that includes a statement of interest outlining their vision and qualifications for the position, a research statement, a teaching statement, and a list of three references. -Applicants should also provide a link in their cover letter to a digital dossier containing samples of their research and design projects, as well as samples of their students' work, in a PDF file. -Applicants are encouraged to apply by February 6, 2026. The position, however, will remain open until filled. Apply NowShare Save Job

Savvas Learning Company is a global education company that produces award-winning learning solutions that empower educators and engage students with the highest quality content. Recognized as an industry leader, we serve millions of K-12 learners with innovative, student-centered educational programs that turn today's classrooms into active learning environments. By embracing technology, personalized learning, and immersive experiences delivered across multiple platforms, we design our learning solutions to be more accessible and relevant to each student. Our award-winning, high-quality instructional materials span every grade level and discipline, from evidence-based, standards-aligned core curricula and supplemental and intervention programs to state-of-the-art assessment tools and the industry's most innovative portfolio of college and career readiness solutions - all designed to meet the needs of every learner. Savvas Learning Company is seeking a part-time Curriculum Specialist to support our K-5 Literacy curriculum in our Northeast territory. The part-time Curriculum Specialist is a(n): • Education specialist with deep K-12 knowledge in assigned content area(s)., • Sales representative for the assigned region(s) with the goal of driving and meeting market revenue targets., • Expert in the delivery of sales and introductory product orientation in-service for print, digital and blended programs who will partner with other specialists and share responsibilities in the assigned region(s)., • Self-starter with a passion for K-12 education and the ability to drive educators (at all levels) to make sound decisions regarding learning outcome choices for students and teachers., • Expert on education standards, current education pedagogy, and market trends., • Expert communicator with the skills to relate to all levels of state, regional or district K-12 employees from superintendent, administrator, teacher to para-professional. This position will be required to attend on-site customer meetings in the Northeast states, and candidates will need to reside within the market to be considered. Responsibilities: • Delivering winning presentations for each sales cycle to include the six customer touch points:, • Exhibits and Conferences, • Pre-work and Issue setting workshops, • Meetings and Campaigns, • Pilots, • Sales Presentations, • Program Activation, • Provide Pilot Activation Trainings and consistent, on-going communication and support for pilot teachers throughout the pilot process., • Providing customer feedback to sales, product, and marketing teams, • Maintaining content level expertise through the Savvas Learning Company certification process and agreed upon materials., • Delivering Program Activation trainings for new and on-going customer accounts., • Having a deep understanding and knowledge of Savvas Learning Company's print and digital solutions., • Maintaining positive on-going relationships with the customer during the sales cycle and after activation to provide support or re-direction to appropriate Savvas Learning Company teams to ensure client satisfaction., • Providing excellent customer service at all times. Qualifications: • 5+ years of K-12 education experience to include classroom teaching experience., • BS or BA, Master's degree preferred., • Biliterate in English/Spanish preferred., • Specialty training or advanced certification is preferred., • Expert knowledge of education theory and market trends in K-5 Literacy., • Deep knowledge and passion for learning in K-12 education., • Demonstrated ability to deliver winning presentations in large and small groups., • Previous experience in selling and servicing in the education market is desirable., • Experience in public speaking and creating engaging presentations for teachers, parents, district administrators, superintendents, or adoption committees., • Demonstration of strong abilities with technology skills including abilities to use all presentation software and hardware (PC or Mac, including whiteboard technology and 1:1 devices) to develop and deliver multimedia presentations. Other Requirements: • Regional travel will be required; requests are sometimes made with short notice., • Ability to lift and carry up to 20 lbs., • Monitoring and controlling timekeeping and expenses in accordance with Savvas Learning Company Travel and Entertainment policies., • Collaboration with team members and all departments including sales, services, and operations to escalate and address customer satisfaction issues in order to ensure customer success., • Self-starter. Can at times be responsible for self-directed training and preparedness., • Ability to have pointed conversations with school districts in the area of K-5 Literacy., • Understanding sales campaign strategy, market trends and the full continuum of Savvas Learning Company services to better understand the customer and audience. ABOUT SAVVAS We are proud to be recognized as a Top Workplace. Our employees are our most valuable asset, and we are committed to creating a work environment that promotes their growth, well-being, and success. We develop learning solutions that empower educators and improve student outcomes thanks to our team's passion, creativity, and dedication. TOTAL REWARDS At Savvas, compensation is only one part of our total rewards package. We invest in our employees with a rewards package that combines compensation, exceptional benefits and wellness programs in addition to opportunities for professional growth. This role may also be eligible for bonus or incentive compensation. The posted hiring range reflects our good faith estimate at the time of posting and remains subject to modification. Compensation is determined by factors such as but not limited to skills, experience, budget, and internal equity. BENEFITS Starting on Day One we are committed to the health, well-being, and development of our employees. As a Savvas employee, you are eligible to participate in benefits that put you first. Our benefits include a wide range of offerings including but not limited to the following: • Medical Coverage: Choose from three distinct medical plan options. HSA/FSA options available., • Prescription Drug Benefits: Automatically included when you enroll in any medical plan., • Dental & Vision Coverage: Available to all benefits-eligible employees., • Time to Recharge: Vacation time and 10 paid holidays., • Time to Recover: Sick time and leave programs., • Financial Wellness: Employees can start securing their financial future without any delay with a 401(k) match and immediate vesting., • Wellness Programs: We recognize the importance of emotional and mental well-being, both in our work environment and in our personal lives. We are committed to providing resources and support to promote overall well-being and a healthy work-life balance. Savvas Learning Company is an Equal Opportunity Employer. Savvas Learning complies with all applicable federal, state, and local laws regarding recruitment and hiring. Savvas prohibits discrimination against individuals based on race, color, religion, national origin, sex, age, disability, and other protected group status. We strive to create a fair and inclusive workplace where everyone feels valued and respected. ___. Savvas Learning Company is an affirmative action employer and participates in ___ Notice to California Applicants: Information collected and processed as part of your Savvas Careers profile, and any job applications you choose to submit is subject to ___.

Savvas Learning Company is a global education company that produces award-winning learning solutions that empower educators and engage students with the highest quality content. Recognized as an industry leader, we serve millions of K-12 learners with innovative, student-centered educational programs that turn today's classrooms into active learning environments. By embracing technology, personalized learning, and immersive experiences delivered across multiple platforms, we design our learning solutions to be more accessible and relevant to each student. Our award-winning, high-quality instructional materials span every grade level and discipline, from evidence-based, standards-aligned core curricula and supplemental and intervention programs to state-of-the-art assessment tools and the industry's most innovative portfolio of college and career readiness solutions - all designed to meet the needs of every learner. Savvas Learning Company is seeking a part-time Curriculum Specialist to support our 6-12 ELA curriculum in our Northeast territory. The part-time Curriculum Specialist is a(n): • Education specialist with deep K-12 knowledge in assigned content area(s)., • Sales representative for the assigned region(s) with the goal of driving and meeting market revenue targets., • Expert in the delivery of sales and introductory product orientation in-service for print, digital and blended programs who will partner with other specialists and share responsibilities in the assigned region(s)., • Self-starter with a passion for K-12 education and the ability to drive educators (at all levels) to make sound decisions regarding learning outcome choices for students and teachers., • Expert on education standards, current education pedagogy, and market trends., • Expert communicator with the skills to relate to all levels of state, regional or district K-12 employees from superintendent, administrator, teacher to para-professional. This position will be required to attend on-site customer meetings in the Northeast states, and candidates will need to reside within the market to be considered. Responsibilities: • Delivering winning presentations for each sales cycle to include the six customer touch points:, • Exhibits and Conferences, • Pre-work and Issue setting workshops, • Meetings and Campaigns, • Pilots, • Sales Presentations, • Program Activation, • Provide Pilot Activation Trainings and consistent, on-going communication and support for pilot teachers throughout the pilot process., • Providing customer feedback to sales, product, and marketing teams, • Maintaining content level expertise through the Savvas Learning Company certification process and agreed upon materials., • Delivering Program Activation trainings for new and on-going customer accounts., • Having a deep understanding and knowledge of Savvas Learning Company's print and digital solutions., • Maintaining positive on-going relationships with the customer during the sales cycle and after activation to provide support or re-direction to appropriate Savvas Learning Company teams to ensure client satisfaction., • Providing excellent customer service at all times. Qualifications: • 5+ years of K-12 education experience to include classroom teaching experience., • BS or BA, Master's degree preferred., • Biliterate in English/Spanish preferred., • Specialty training or advanced certification is preferred., • Expert knowledge of education theory and market trends in 6-12 ELA., • Deep knowledge and passion for learning in K-12 education., • Demonstrated ability to deliver winning presentations in large and small groups., • Previous experience in selling and servicing in the education market is desirable., • Experience in public speaking and creating engaging presentations for teachers, parents, district administrators, superintendents, or adoption committees., • Demonstration of strong abilities with technology skills including abilities to use all presentation software and hardware (PC or Mac, including whiteboard technology and 1:1 devices) to develop and deliver multimedia presentations. Other Requirements: • Regional travel will be required; requests are sometimes made with short notice., • Ability to lift and carry up to 20 lbs., • Monitoring and controlling timekeeping and expenses in accordance with Savvas Learning Company Travel and Entertainment policies., • Collaboration with team members and all departments including sales, services, and operations to escalate and address customer satisfaction issues in order to ensure customer success., • Self-starter. Can at times be responsible for self-directed training and preparedness., • Ability to have pointed conversations with school districts in the area of 6-12 ELA., • Understanding sales campaign strategy, market trends and the full continuum of Savvas Learning Company services to better understand the customer and audience. ABOUT SAVVAS We are proud to be recognized as a Top Workplace. Our employees are our most valuable asset, and we are committed to creating a work environment that promotes their growth, well-being, and success. We develop learning solutions that empower educators and improve student outcomes thanks to our team's passion, creativity, and dedication. TOTAL REWARDS We are committed to the health and well-being of our employees and their families. Our focus on employees is evident in our comprehensive and competitive total rewards package, which prioritizes what matters most to them. Our competitive compensation package is designed to reward your success with a pay-for-performance model. This ensures that hard work and contributions are recognized and rewarded. With our 401(k) match and immediate vesting, employees can start securing their financial future without any delay. Our benefits package is designed to promote a healthy work-life balance and overall well-being. Paid time off and holidays allow you to unplug, relax, and recharge fully. Starting on Day One, we offer comprehensive health benefits, including medical, dental, and vision coverage, ensuring that health is a top priority without a financial burden. At Savvas, we recognize the importance of emotional and mental well-being, both in our work environment and in our personal lives. That's why we are committed to providing resources to support well-being. ___ Savvas Learning Company is an Equal Opportunity Employer. Savvas Learning complies with all applicable federal, state, and local laws regarding recruitment and hiring. Savvas prohibits discrimination against individuals based on race, color, religion, national origin, sex, age, disability, and other protected group status. We strive to create a fair and inclusive workplace where everyone feels valued and respected. ___. Savvas Learning is an affirmative action employer and participates in ___ Notice to California Applicants: Information collected and processed as part of your Savvas Careers profile, and any job applications you choose to submit is subject to ___.

Adjunct Instructor Interior Design Department: Hillier College of Arch & Design Reports To: Department Chair Position Type: Faculty Position Summary: The NJIT School of Art & Design is recruiting a pool of applicants interested in teaching classes in the Interior Design program on an ongoing basis. Qualified applicants not able to take on a class in a particular semester would continue to be considered in future semesters. Adjunct instructors will be given the learning objectives and requirements for each class assigned. Essential Functions: Teaching: Integrate core concepts from past courses into the one being taught. Communicate with students, faculty and administration on student progress throughout the semester. Prerequisite Qualifications: Must possess a design-related Bachelor's degree from an accredited institution or a bachelor's degree with appropriate industry experience. Preferred Qualifications: Prior teaching experience is particularly welcome. Advanced Degree preferred. Depending on the course, the instructor would need to have relevant experience in creative, analytical, or synthetic design areas. Hands-on knowledge of course topics is desired (e.g., knowledge of 2D and 3D design software, BIM, motion graphics, screen based communication and UI/UX, knowledge of arduino programming and physical computing, web design and use of digital software to produce and evaluate design work, etc.) Bargaining Unit: AFT-UCAN Salary Information: In compliance with the NJ Pay Transparency Law, the rate for this position is $2668 per credit hour (USD). NJIT considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/training, key skills, internal peer equity, as well as, market and organizational considerations when extending an offer. This pay range represents base pay only and excludes any additional items such as incentives, bonuses or other items. FLSA: Exempt Part-Time Special Instructions to Applicants: Applicants will need to include in their application a CV and cover letter and should indicate which course(s) they are interested in teaching from the online catalog. Applicants must provide a link in their cover letter to a digital portfolio in PDF format containing samples of scholarly work, research, and design projects, students' work, and/or whatever material the candidate deems to be relevant. Apply NowShare Save Job

Title: Assistant or Associate Professor of Robotics Engineering Department: Newark College of Engineering Reports To: Dean, Newark College of Engineering Position Type: Faculty Position Summary: The Newark College of Engineering (NCE) at the New Jersey Institute of Technology (NJIT) invites applications and nominations for the position of Professor of Robotics Engineering. We are seeking candidates at the rank of Assistant or Associate Professor on a tenure track. The successful candidate will be appointed in the department within NCE that aligns best with the candidate's expertise, and may hold a joint appointment across multiple departments as appropriate. The ideal candidate will demonstrate a record of outstanding scholarship, experience in research and development of robotic systems, and knowledge and interest in the underlying theory and practice of robotics design. We are also seeking candidates with genuine interest in education, ready and excited about guiding students to develop, build and test robots as part of the students' academic training. The successful candidate is expected to work effectively in a collaborative, interdisciplinary environment both within NCE and across the broader campus. Essential Functions: -Teaches, conducts research, and develops technology related to contemporary robots. -Supports and leads the design, testing and operation of robotic systems. -Solicits and secures research funding (and support for robotic infrastructure) from governmental bodies and industry. -Initiates and leads research projects; publishes the results in peer-reviewed journals and presents findings in leading conferences on robotics and related areas. -Delivers lectures, workshops, design courses, and research projects in robotics and related areas. -Mentors student groups that participate in robotics competitions. -Develops and adapts new teaching methods, tools, and curricula based on the latest research in robotics and robotics education. -Leads the design and development of state-of-the-art infrastructure for robotic research and experimentation at NJIT. -Collaborates with other professionals, academic researchers, and organizations focused on robotics and related fields. Prerequisite Qualifications: -We are seeking candidates whose credentials are suitable for the rank of Assistant Professor or Associate Professor. We seek candidates with educational background in robotics or closely related areas. A record of outstanding research in a pertinent area is required, along with a footprint in the technical literature that is commensurate with candidate's rank and length of experience. Candidates are expected to have participated in the design, building and testing of relevant physical systems (e.g., robots, drones, AUVs). -Candidates should have demonstrated excellence in teaching, with a commitment to high-quality instruction. We expect them to have interest in advancing education programs in robotics engineering at both undergraduate and graduate levels. -Candidates should have superior communication skills as well as excellent writing capabilities. -A doctorate degree in a pertinent STEM field is required by the appointment start date. Candidates with substantial academic training in robotics (design, hands-on construction and testing) are preferred. Candidates that have participated actively in the major conferences on robotics are also desirable. -At the university's discretion, the education and experience prerequisites may be exempted where the candidate can demonstrate to the satisfaction of the university, an equivalent combination of education and experience specifically preparing the candidate for success in the position. Bargaining Unit: PSA Salary Information: In compliance with the NJ Pay Transparency Law, the salary range for the assistant level position is $85,000-$125,000 and the associate level position is $100,000-$125,000. (USD). NJIT considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/training, key skills, internal peer equity, as well as, market and organizational considerations when extending an offer. This pay range represents base pay only and excludes any additional items such as incentives, bonuses or other items. To learn more about the comprehensive benefits NJIT offers for this position, please visit our benefits page: . FLSA: Exempt Full-Time Special Instructions to Applicants: Salary will be commensurate with qualifications and experience. Applications must include the following: -A cover letter that includes a summary of education, relevant experience, and research interests. -A detailed curriculum vitae, highlighting experience with physical robotic systems. -A statement of research interests, objectives, and vision. -A statement of teaching interests and philosophy. -Contact information of three (3) professional references. Questions may be directed to the Dean of the Newark College of Engineering, Dr. Moshe Kam, at . Apply NowShare Save Job

Title: Adjunct Instructor in Engineering Ethics Department: Humanities & Social Sciences Reports To: The Department Chair Position Type: Faculty Position Summary: A national leader in public STEM education, the New Jersey Institute of Technology (NJIT) is one of three R1 universities in New Jersey and is located in Newark, the largest city in the state and a central hub within the New York City metropolitan area. NJIT's Department of Humanities and Social Sciences invites applications for Adjunct Instructors to teach engineering ethics. The department's courses in engineering ethics are designed to ensure the success of all undergraduate students at a top-tier public polytechnic academic institution. Candidates are expected to have an appreciation for the full range of engineering disciplines, as well as computer and data science, applied science, business management, and architecture and design. Essential Functions: The Department of Humanities and Social Sciences is an interdisciplinary community of researchers and educators that encourages state-of-the-art pedagogy consistent with the aims of a technology-intensive university. Candidates should be able to demonstrate prior experience teaching engineering ethics or related courses at the university level and documented success through course evaluations, peer assessment, or other means. Candidates must abide by the university's core values, which include excellence, integrity, civility, social responsibility, diversity, and communication. Prerequisite Qualifications: • Candidates should have a Master's degree in applied philosophy, science and technology studies, engineering management, safety science, legal studies, or a closely related field. PhD preferred., • Key criteria for selection will include experience teaching at the university level and evidence of success working with a student population that reflects the diversity of our metropolitan region., • At the university's discretion, the education and experience prerequisites may be exempted where the candidate can demonstrate to the satisfaction of the university, an equivalent combination of education and experience specifically preparing the candidate for success in the position. Bargaining Unit: AFT-UCAN Salary Information: In compliance with the NJ Pay Transparency Law, the rate for this position is $2668 per contact hour (USD). NJIT considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/training, key skills, internal peer equity, as well as, market and organizational considerations when extending an offer. This pay range represents base pay only and excludes any additional items such as incentives, bonuses or other items. FLSA: Exempt Part-Time Apply NowShare Save Job

Savvas Learning Company is a global education company that produces award-winning learning solutions that empower educators and engage students with the highest quality content. Recognized as an industry leader, we serve millions of K-12 learners with innovative, student-centered educational programs that turn today's classrooms into active learning environments. By embracing technology, personalized learning, and immersive experiences delivered across multiple platforms, we design our learning solutions to be more accessible and relevant to each student. Our award-winning, high-quality instructional materials span every grade level and discipline, from evidence-based, standards-aligned core curricula and supplemental and intervention programs to state-of-the-art assessment tools and the industry's most innovative portfolio of college and career readiness solutions - all designed to meet the needs of every learner. Summary The Part-time Curriculum Specialist at Savvas Learning Company is a dedicated education specialist and sales representative, responsible for driving and meeting market revenue targets within an assigned region. This role involves providing ongoing support for teachers and introductory product orientations for print, digital, and blended programs. This self-starter role requires strong communication skills to build and maintain relationships with K-12 employees from superintendents to paraprofessionals, ensuring client satisfaction and providing excellent customer service. This position will be required to attend on-site customer meetings in Fresno, CA and Bakersfield, CA. Primary Responsibilities: • Provide consistent, on-going communication and support for pilot teachers throughout the pilot process., • Provide customer feedback to sales, product, and marketing teams to enhance offerings and strategies., • Maintain content level expertise through the Savvas Learning Company certification process and agreed upon materials., • Deliver Program Activation trainings for new and on-going customer accounts., • Demonstrate a deep understanding and knowledge of Savvas Learning Company's print and digital solutions., • Maintain positive on-going relationships with customers throughout the sales cycle and after activation, providing support or re-direction to appropriate Savvas teams to ensure client satisfaction., • Provide excellent customer service at all times., • Build and maintain relationships with key TK-12 decision-makers within the market segment., • Collaborate closely with Savvas teams, including sales, services, and product management, to ensure alignment, support, and to address and resolve customer satisfaction issues, ensuring overall customer success. Additional Job Requirements: • To perform this job successfully, an individual must be able to satisfactorily perform each essential duty. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions., • This person must be able to sit or stand at a personal computer for a reasonable length of time, typing and reading, as well as when presenting., • The ability to handle a high volume of work in a short period, handle multiple priorities simultaneously, and operate in a demanding work environment is important., • Reliable attendance and punctuality are critical to successful performance in this role., • Ability to lift and carry up to 20 lbs., • Regional travel will be required, with requests sometimes made with short notice; long distance travel in cars is possible., • Monitoring and controlling timekeeping and expenses in accordance with Savvas Learning Company Travel and Entertainment policies. Education and Experience: • Bachelor's degree required; Master's degree preferred., • 2+ years of K-12 education experience to include classroom teaching experience., • Previous experience in selling and servicing in the education market is desirable., • Experience in public speaking and creating engaging presentations for diverse audiences, including teachers, parents, district administrators, superintendents, or adoption committees., • Biliterate in English/Spanish preferred, or proficiency in English and Spanish is a plus, but not required., • Specialty training or advanced certification is preferred., • Knowledge of the competitive landscape preferred. Additional Skills/Knowledge/Abilities: • Expert knowledge of education theory and market trends in assigned K-12 content areas (e.g., literacy, math, science, humanities, intervention)., • Deep knowledge and passion for learning in K-12 education., • Strong communication skills to relate to all levels of K-12 employees, from superintendents to paraprofessionals., • Proficiency with technology skills, including all presentation software and hardware (PC or Mac, whiteboard technology, 1:1 devices) for developing and delivering multimedia presentations., • Ability to have pointed conversations with school districts in specific content areas., • Understanding of sales campaign strategy, market trends, and the full continuum of Savvas Learning Company services to better understand the customer and audience., • Collaborative mindset, functioning as a flexible, team-oriented partner who shares responsibilities., • Self-starter with a proactive attitude and the ability to take initiative, work independently, and manage projects from inception to completion., • Exceptional organizational skills in managing time, communicating effectively, and organizing physical and digital materials to ensure efficient workflow and successful project execution. Other Duties Assigned by Management: • Assist with special projects as they are assigned. ABOUT SAVVAS We are proud to be recognized as a Top Workplace. Our employees are our most valuable asset, and we are committed to creating a work environment that promotes their growth, well-being, and success. We develop learning solutions that empower educators and improve student outcomes thanks to our team's passion, creativity, and dedication. TOTAL REWARDS We are committed to the health and well-being of our employees and their families. Our focus on employees is evident in our comprehensive and competitive total rewards package, which prioritizes what matters most to them. Our competitive compensation package is designed to reward your success with a pay-for-performance model. This ensures that hard work and contributions are recognized and rewarded. With our 401(k) match and immediate vesting, employees can start securing their financial future without any delay. Our benefits package is designed to promote a healthy work-life balance and overall well-being. Paid time off and holidays allow you to unplug, relax, and recharge fully. Starting on Day One, we offer comprehensive health benefits, including medical, dental, and vision coverage, ensuring that health is a top priority without a financial burden. At Savvas, we recognize the importance of emotional and mental well-being, both in our work environment and in our personal lives. That's why we are committed to providing resources to support well-being. ___ Savvas Learning Company is an Equal Opportunity Employer. Savvas Learning complies with all applicable federal, state, and local laws regarding recruitment and hiring. Savvas prohibits discrimination against individuals based on race, color, religion, national origin, sex, age, disability, and other protected group status. We strive to create a fair and inclusive workplace where everyone feels valued and respected. ___. Savvas Learning is an affirmative action employer and participates in ___ Notice to California Applicants: Information collected and processed as part of your Savvas Careers profile, and any job applications you choose to submit is subject to ___.

Embracing Genuine Hospitality At Macy's we are undergoing a transformation. Under the leadership of our new CEO and Sr. Leadership Team, we have developed a compelling new Purpose, and a Culture Vision that is grounded in delivering genuine hospitality. We believe that to deliver hospitality, each of us must experience it first. Our values of Trust, Service, Excellence, Understanding, and Anticipation are the source code for our Behaviors and the Leadership Standard we have set for People Leaders. Our success will be built on living these values together. At Macy's, we don't just offer a job-we offer an opportunity to grow, lead, and be part of a team that's shaping the future of retail. Ready to make your mark? Join us! Job Overview As the Sr. Director, Private Brand - Home, you will manage our in-house, Private Brand Merchants, Design, Technical Design, Materials & Product Development team to develop seasonal assortments that are exclusively available at Macy's. What You Will Do • Own Private Brand financial performance, • Present topline strategies to the Private Brand P&L leader, • Collaborate with Macy's GMMs on optimizing omni channel positioning for private brands products and hit % penetration goals for Private Brands YOY, • Develop and execute a comprehensive product merchandising strategy utilizing a data driven approach to analyze customer behavior and develop consumer centric product strategies and experiences across all channels., • In partnership with the Trend Research & Forecasting and Brand Strategy teams, monitor market and internal trends to ensure Home merchandising strategy is competitive and consumer centric., • Possess deep understanding of the competitive landscape and customer to identify opportunities for growth and improvement in the Private Brand portfolio., • Manage the Private Brand Design, Technical Design, Materials & Product Development team to build and execute seasonal assortments that are exclusively available at Macy's, including assortment selection, and strategies that supports the high-level product vision while maximizing sales, margin, and turn., • Manage development of the assortment within different High-Med-Low business operating models, • Collaborate with cross functional teams in Buying, Assortment Planning, Financial Planning, and Marketing to ensure alignment and consistency from product strategy to messaging and positioning., • Continuously evaluate and improve processes and workflows to increase efficiency and productivity within the department., • Develop a pre-season assortment vision aligned with company priorities and insights from Digital, Buying, and Planning counterparts, • Evaluate upcoming season trends in partnership with Design, Trend Research and Forecasting, identifying key trends and white space opportunities., • Partner with Financial Planning, Assortment Planning and Buying to ensure department-level financial targets support assortment strategy., • Develop assortment vision guiding product development strategy, color/sizing opportunities, testing new products/categories, and alignment on marketing/digital strategy with Buying and Planning counterparts., • Partner with Financial Planning to reforecast sales in season looking for ways to amplify successes and mitigate risks., • Partner to establish pre-season pricing strategy with input from the Buying and Digital Director and partner with the Pricing team on in-season adjustments., • Collaborate with the Buying, Merchandise Marketing team and Digital Director to set content and promotional strategies, including Home events., • Develop and lead pre-season and in-season merchandising vision and strategy to create a seamless shopping experience for customers both in stores and online., • Travel to Asia with the Home product and design team to visit factories and suppliers 1-2x a year to review protos., • 10 years of experience in fashion retail with deep expertise in merchandising. Previous experience in buying, trend, design, and/or product development experience is preferred., • Strong financial planning acumen essential. Must be comfortable talking about sales, margin, turn, WOS and all the financial levers that exist to drive a business., • Strong strategic and analytical ability, • Driven for results with strong financial acumen, • Excellent verbal and written ability; Adept at presenting information and storytelling, • Ability to align with, collaborate and influence cross functional partners and peers, • Anticipate operational/program issues and develops preventative measures, • Ability to influence without authority across and up, • Communication Skills: Proficient in open and continuous communication, adept at keeping others informed, and capable of presenting information clearly and concisely., • Leadership Abilities: Excellent leadership skills, with a dynamic, transformational approach and a passion for driving results. Ability to lead teams effectively in a changing and ambiguous business environment. A dynamic and transformational leader passionate about their work, inspiring others and advocating for talent within the organization., • Interpersonal Skills: Strong interpersonal skills, facilitating collaboration across functional lines and at various organizational levels., • Creative and Strategic Thinking: Ability to think creatively, strategically, and technically, enabling innovative solutions to business challenges., • Technical Proficiency: Proficiency in MS Office computer programs is essential for the role., • Team Development: Track record of developing diverse and forward-thinking teams, fostering talent with a company-wide mindset and prioritizing colleague and business needs. Skilled at building engaged and highly functional teams and partnerships, cultivating a culture that encourages fresh thinking and connectedness at all organizational levels., • Empowerment and Independence: Ability to maintain focus on vision and outcomes, empowering team members to make decisions independently without traditional hierarchical approval., • Collaborative Approach: Collaborative and supportive style with a strong ability to establish trust and build relationships across all levels and functions of the organization., • Able to balance art and science to create assortments that will drive business results., • Passionate about product., • Courageous and confident; able to show up in front of senior leadership., • Dedicated to fulfilling ideals of diversity, inclusion, and respect that Macy's aspires to achieve every day in every way., • Candidates with a Bachelor's degree or equivalent work experience in a related field are encouraged to apply. 10 years of related experience., • Regularly required to sit, talk, hear; use hands/fingers to touch, handle, and feel. Occasionally required to move about the workplace and reach with hands and arms. Requires close vision. Join a team where work is as rewarding as it is fun! We offer a dynamic, inclusive environment with competitive pay and benefits. Enjoy comprehensive health and wellness coverage and a 401(k) match to invest in your future. Prioritize your well-being with paid time off and eight paid holidays. Grow your career with continuous learning and leadership development. Plus, build community by joining one of our Colleague Resource Groups and make a difference through our volunteer opportunities. Some additional benefits we offer include: • Merchandise discounts, • Performance-based incentives, • Annual merit review, • Employee Assistance Program with mental health counseling and legal/financial advice About Us This is a great time to join Macy's! Whether you're helping a customer find the perfect gift, streamlining operations in one of our distribution centers, enhancing our online shopping experience, buying in-style and on-trend merchandise to outfit our customers, or designing a balloon for the Thanksgiving Day Parade, we offer unique opportunities to be part of some of the most memorable moments in people's lives. Join us and help write the next chapter in our story - apply today! This job description is not all-inclusive. Macy's, Inc. reserves the right to amend this job description at any time. Macy's, Inc. is an Equal Opportunity Employer, committed to a diverse and inclusive work environment. MERCH00

Savvas Learning Company is a global education company that produces award-winning learning solutions that empower educators and engage students with the highest quality content. Recognized as an industry leader, we serve millions of K-12 learners with innovative, student-centered educational programs that turn today's classrooms into active learning environments. By embracing technology, personalized learning, and immersive experiences delivered across multiple platforms, we design our learning solutions to be more accessible and relevant to each student. Our award-winning, high-quality instructional materials span every grade level and discipline, from evidence-based, standards-aligned core curricula and supplemental and intervention programs to state-of-the-art assessment tools and the industry's most innovative portfolio of college and career readiness solutions - all designed to meet the needs of every learner. Savvas Learning Company is seeking a highly skilled Literacy Curriculum Specialist based in California, covering California and Hawaii. This role requires a self-starter who possesses a competitive mindset fit for sales and a deep passion for K-12 Literacy instruction. Curriculum Specialists (CSs) work in close partnership with Curriculum Specialist Managers and Account Managers throughout the territory. As a Literacy content specialist, the CS will partner directly with market sales and product management teams to support the sales process, from prospect to close, advancing Savvas Learning Company products, services, and solutions in the Pacific Market. This specialist will develop and maintain ongoing relationships with school, state, regional, and/or district decision makers in the Pacific Market. Candidates must reside in California to be considered for this position as they will be required to attend on-site customer meetings. This position will be required to attend on-site customer meetings in California. PRIMARY RESPONSIBILITY: • Achieve Revenue Targets: Contribute to meeting and exceeding team sales quota in California and Hawaii. Demonstrate a drive to meet and exceed revenue targets., • Deliver Winning Presentations: Develop and deliver winning presentations. Create and present compelling presentations covering all six customer touch points: Exhibits and Conferences, Pre-work and Professional Learning Workshops, Meetings and Campaigns, Sales Presentations, Curriculum Pilot Trainings, and Curriculum Program Activations., • Build and Maintain Relationships: Develop and maintain ongoing relationships with sales teams and key TK-12 decision-makers within the market segment., • Advance Solutions: Partner directly with sales teams and product management to advance Savvas' Literacy products, services, and solutions., • Maintain Expertise: Stay current with Savvas products and services through certification and training processes in order to fully support the sales cycle., • Demonstrate a deep knowledge of Savvas Learning Company's Literacy print and digital solutions., • Conduct Training/Workshops: Provide Product Activation training for both new and existing customer accounts and offer professional learning workshops to districts and at conferences., • Provide Feedback: Gather and relay customer feedback to sales, product, and marketing teams to enhance offerings and strategies., • Collaborate Internally: Work closely with Savvas teams including sales, services, and product management to ensure alignment and support and to address and resolve customer satisfaction issues, ensuring overall customer success., • Ensure Customer Satisfaction: Provide high levels of customer service consistently to foster satisfaction and loyalty. SKILLS/KNOWLEDGE/ABILITIES: • Ed-Tech experience required (5+ years), demonstrating expertise in utilizing and presenting digital solutions., • Expert knowledge of education theory and market trends in K-12 Literacy., • Deep knowledge and passion for learning in K-12 education., • Expert presenter in the delivery of engaging and informative sales presentations and product orientations. Demonstrate the ability to deliver winning presentations in large and small group presentations., • Highly skilled in persuasion, argumentation, and influencing experts and decision makers in K-12 Literacy., • Strong presentation and communication skills, both verbal and written. Strong communicator with the ability to relate to all levels of K-12 employees, from superintendents to paraprofessionals., • Ability to have pointed conversations with school district experts in K-12 content areas., • Highly proficient with technology skills, including all presentation software and hardware (PC or Mac, whiteboard technology, 1:1 devices) for developing and delivering multimedia presentations both virtually and in-person., • Ability to quickly grasp and present Savvas technology solutions. Comfortable with the use of technology., • Understanding of sales campaign strategy, market trends, and the full continuum of Savvas Learning Company services to better understand the customer and audience., • Collaborative mindset, functioning as a flexible, team-oriented partner who shares responsibilities., • Self-starter with a proactive attitude and the ability to take initiative, work independently, and manage projects from inception to completion., • Exceptional organizational skills in managing time, communicating effectively, and organizing physical and digital materials to ensure efficient workflow and successful project execution. ADDITIONAL JOB REQUIREMENTS: • 60% Travel within the territory (California and Hawaii) will be required. Occasional travel to other territories may be required. Significant travel will be required at times. Long distance travel in cars is possible., • To perform this job successfully, an individual must be able to satisfactorily perform each essential duty., • The ability to handle a high volume of work in a short period, handle multiple priorities simultaneously, and operate in a demanding work environment is important., • Reliable attendance and punctuality are critical to successful performance in this role., • Ability to lift and carry up to 30 lbs., • Candidates must reside within California., • Monitoring and controlling timekeeping and expenses in accordance with Savvas Learning Company Travel and Entertainment policies. QUALIFICATIONS • Bachelor's degree required; Master's degree preferred. A college degree is required with an advanced degree or specialty related training highly desirable., • 5+ years of K-12 education experience to include classroom teaching experience., • Previous experience in selling and servicing in the education market is required., • Experience in networking with high level district administrators and decision makers and engaging with district administrators and decision makers., • Experience in public speaking and creating engaging presentations for diverse audiences, including teachers, parents, district administrators, and adoption committees., • Specialty training or advanced certification is preferred., • Proficiency in English and Spanish is a plus, but not required. OTHER DUTIES ASSIGNED BY MANGEMENT: • Assist with special projects as they are assigned. Disclaimer This job description is meant to describe the general nature of the job to be performed and is not intended to be an all-inclusive listing of job duties or responsibilities that are required of the employee for this job. Job duties, responsibilities, and activities may change, or new ones may be assigned at any time with or without notice as requested by managers or as required by business needs. #LI-JTJ ABOUT SAVVAS We are proud to be recognized as a Top Workplace. Our employees are our most valuable asset, and we are committed to creating a work environment that promotes their growth, well-being, and success. We develop learning solutions that empower educators and improve student outcomes thanks to our team's passion, creativity, and dedication. TOTAL REWARDS At Savvas, compensation is only one part of our total rewards package. We invest in our employees with a rewards package that combines compensation, exceptional benefits and wellness programs in addition to opportunities for professional growth. This role may also be eligible for bonus or incentive compensation. The posted hiring range reflects our good faith estimate at the time of posting and remains subject to modification. Compensation is determined by factors such as but not limited to skills, experience, budget, and internal equity. BENEFITS Starting on Day One we are committed to the health, well-being, and development of our employees. As a Savvas employee, you are eligible to participate in benefits that put you first. Our benefits include a wide range of offerings including but not limited to the following: • Medical Coverage: Choose from three distinct medical plan options. HSA/FSA options available., • Prescription Drug Benefits: Automatically included when you enroll in any medical plan., • Dental & Vision Coverage: Available to all benefits-eligible employees., • Time to Recharge: Vacation time and 10 paid holidays., • Time to Recover: Sick time and leave programs., • Financial Wellness: Employees can start securing their financial future without any delay with a 401(k) match and immediate vesting., • Wellness Programs: We recognize the importance of emotional and mental well-being, both in our work environment and in our personal lives. We are committed to providing resources and support to promote overall well-being and a healthy work-life balance. Savvas Learning Company is an Equal Opportunity Employer. Savvas Learning complies with all applicable federal, state, and local laws regarding recruitment and hiring. Savvas prohibits discrimination against individuals based on race, color, religion, national origin, sex, age, disability, and other protected group status. We strive to create a fair and inclusive workplace where everyone feels valued and respected. ___. Savvas Learning Company is an affirmative action employer and participates in ___. Notice to California Applicants: Information collected and processed as part of your Savvas Careers profile, and any job applications you choose to submit is subject to ___.

Savvas Learning Company is a global education company that produces award-winning learning solutions that empower educators and engage students with the highest quality content. Recognized as an industry leader, we serve millions of K-12 learners with innovative, student-centered educational programs that turn today's classrooms into active learning environments. By embracing technology, personalized learning, and immersive experiences delivered across multiple platforms, we design our learning solutions to be more accessible and relevant to each student. Our award-winning, high-quality instructional materials span every grade level and discipline, from evidence-based, standards-aligned core curricula and supplemental and intervention programs to state-of-the-art assessment tools and the industry's most innovative portfolio of college and career readiness solutions - all designed to meet the needs of every learner. The Part-time Curriculum Specialist at Savvas Learning Company is a dedicated education specialist that provides ongoing support for teachers and introductory product orientations for print, digital, and blended programs. This self-starter role requires strong communication skills to build and maintain relationships with K-12 employees from superintendents to paraprofessionals, ensuring client satisfaction and providing excellent customer service. This position will be required to attend on-site customer meetings in Northern California including the Bay area and Sacramento. Primary Responsibilities: • Provide consistent, on-going communication and support for pilot teachers throughout the pilot process., • Provide customer feedback to sales, product, and marketing teams to enhance offerings and strategies., • Maintain content level expertise through the Savvas Learning Company certification process and agreed upon materials., • Deliver Program Activation trainings for new and on-going customer accounts., • Demonstrate a deep understanding and knowledge of Savvas Learning Company's print and digital solutions., • Maintain positive on-going relationships with customers throughout the sales cycle and after activation, providing support or re-direction to appropriate Savvas teams to ensure client satisfaction., • Provide excellent customer service at all times., • Build and maintain relationships with key 9-12 decision-makers within the market segment., • Collaborate closely with Savvas teams, including sales, services, and product management, to ensure alignment, support, and to address and resolve customer satisfaction issues, ensuring overall customer success. Additional Job Requirements: • To perform this job successfully, an individual must be able to satisfactorily perform each essential duty. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions., • This person must be able to sit or stand at a personal computer for a reasonable length of time, typing and reading, as well as when presenting., • The ability to handle a high volume of work in a short period, handle multiple priorities simultaneously, and operate in a demanding work environment is important., • Reliable attendance and punctuality are critical to successful performance in this role., • Ability to lift and carry up to 20 lbs., • Regional travel will be required, with requests sometimes made with short notice; long distance travel in cars is possible., • Monitoring and controlling timekeeping and expenses in accordance with Savvas Learning Company Travel and Entertainment policies. Education and Experience: • Bachelor's degree required; Master's degree preferred., • 2+ years of 9-12 education experience to include classroom teaching experience., • Previous experience in selling and servicing in the education market is desirable., • Experience in public speaking and creating engaging presentations for diverse audiences, including teachers, parents, district administrators, superintendents, or adoption committees., • Biliterate in English/Spanish preferred, or proficiency in English and Spanish is a plus, but not required., • Specialty training or advanced certification is preferred., • Knowledge of the competitive landscape preferred. Additional Skills/Knowledge/Abilities: • Expert knowledge of education theory and market trends in 9-12 Math., • Deep knowledge and passion for learning in 9-12 education., • Strong communication skills to relate to all levels of 9-12 employees, from superintendents to paraprofessionals., • Proficiency with technology skills, including all presentation software and hardware (PC or Mac, whiteboard technology, 1:1 devices) for developing and delivering multimedia presentations., • Ability to have pointed conversations with school districts in specific content areas., • Understanding of sales campaign strategy, market trends, and the full continuum of Savvas Learning Company services to better understand the customer and audience., • Collaborative mindset, functioning as a flexible, team-oriented partner who shares responsibilities., • Self-starter with a proactive attitude and the ability to take initiative, work independently, and manage projects from inception to completion., • Exceptional organizational skills in managing time, communicating effectively, and organizing physical and digital materials to ensure efficient workflow and successful project execution. Other Duties Assigned by Management: • Assist with special projects as they are assigned. Hiring Range: $37/hr. - $40/hr. Compensable time includes program and pilot activation, internal training $30/hr., and travel & administrative $20/hr. The posted hiring range reflects our good faith estimate at the time of posting and remains subject to modification. Compensation is determined by factors such as, but not limited, to, skills, experience, budget, and internal equity. This position is eligible for sick time and participation in our 401(k) program, which includes a company match. Additionally, we provide the necessary resources to perform your role, including a company-issued laptop. ABOUT SAVVAS We are proud to be recognized as a Top Workplace. Our employees are our most valuable asset, and we are committed to creating a work environment that promotes their growth, well-being, and success. We develop learning solutions that empower educators and improve student outcomes thanks to our team's passion, creativity, and dedication. TOTAL REWARDS At Savvas, compensation is only one part of our total rewards package. We invest in our employees with a rewards package that combines compensation, exceptional benefits and wellness programs in addition to opportunities for professional growth. This role may also be eligible for bonus or incentive compensation. The posted hiring range reflects our good faith estimate at the time of posting and remains subject to modification. Compensation is determined by factors such as but not limited to skills, experience, budget, and internal equity. BENEFITS Starting on Day One we are committed to the health, well-being, and development of our employees. As a Savvas employee, you are eligible to participate in benefits that put you first. Our benefits include a wide range of offerings including but not limited to the following: • Medical Coverage: Choose from three distinct medical plan options. HSA/FSA options available., • Prescription Drug Benefits: Automatically included when you enroll in any medical plan., • Dental & Vision Coverage: Available to all benefits-eligible employees., • Time to Recharge: Vacation time and 10 paid holidays., • Time to Recover: Sick time and leave programs., • Financial Wellness: Employees can start securing their financial future without any delay with a 401(k) match and immediate vesting., • Wellness Programs: We recognize the importance of emotional and mental well-being, both in our work environment and in our personal lives. We are committed to providing resources and support to promote overall well-being and a healthy work-life balance. Savvas Learning Company is an Equal Opportunity Employer. Savvas Learning complies with all applicable federal, state, and local laws regarding recruitment and hiring. Savvas prohibits discrimination against individuals based on race, color, religion, national origin, sex, age, disability, and other protected group status. We strive to create a fair and inclusive workplace where everyone feels valued and respected. ___. Savvas Learning Company is an affirmative action employer and participates in ___. Notice to California Applicants: Information collected and processed as part of your Savvas Careers profile, and any job applications you choose to submit is subject to ___.

Title: Instructor - Electives - Talent Search Department: TRiO Reports To: Director TRIO Programs Position Type: Staff Position Summary: Cultural/Academic Elective Instructor to provide instruction in a variety of cultural or academic elective topics not limited to, but inclusive of the following topics: Robotics, Coding, Engineering, Drama, Creative Writing, Current Events, Psychology, Sociology, Debate, Communications, Etiquette, Art, Dance, Chess, Karate, Yoga, Mentoring, etc. Will hire individual candidates for each subject, or a candidate qualified to teach multiple subjects. Essential Functions: • Ability to plan, organize, develop and conduct a comprehensive instructional program for students enrolled in the Upward Bound Program., • Conduct an integrated Elective class on various topics, ranging from but not limited to: Robotics, Coding, Engineering, Drama, Creative Writing, Current Events, Psychology, Sociology, Debate, Communications, Etiquette, Art, Dance, Chess, Karate, Yoga, Mentoring, etc., • Teach students learning strategies, conduct teaching and instructional activities using educational equipment, manipulative objects, props, and other learning aids., • Prepare and submit a course outline prior to the start of the class., • Complete paperwork associated with classroom and project management., • Make recommendations on students strength and needs., • Report student learning and behavioral issues to the appropriate staff personnel., • Assist with the training and evaluation of Teacher Assistants., • The instructor is required to attend training and meetings. Additional Functions: • Transport students from one class location to another in a timely manner, ensuring proper supervision and safety of students., • Must provide 24 hours notice in the event of an absence., • Classroom work must be prepared for students and the TA must be prepped by the instructor to deliver work or conduct an activity for students. Prerequisite Qualifications: • Two or more years of teaching experience at the high school or post-secondary level., • Complete a background clearance check., • An undergraduate or graduate degree in the designated discipline., • Experience working with minority and disadvantaged students at the middle school, high school, or post-secondary level., • At the university's discretion, the education and experience prerequisites may be exempted where the candidate can demonstrate to the satisfaction of the university, an equivalent combination of education and experience specifically preparing the candidate for success in the position. Salary Information: In compliance with the NJ Pay Transparency Law, the hourly rate/range for this position is $40.00-$50.00(USD). NJIT considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/training, key skills, internal peer equity, as well as, market and organizational considerations when extending an offer. This pay range represents base pay only and excludes any additional items such as incentives, bonuses or other items. FLSA: Non-Exempt Part-Time Apply NowShare Save Job

Job Location(s) US-NY-New York | US-NY-Old Westbury Job ID 2025-4056 Division School of Architecture & Design Position Type Adjunct Type Regular Part-Time Category School of Architecture & Design New York Institute of Technology's six schools and colleges offer undergraduate, graduate, and professional degree programs in in-demand disciplines including computer science, data science, and cybersecurity; biology, health professions, and medicine; architecture and design; engineering; IT and digital technologies; management; and energy and sustainability. A nonprofit, independent, private, and nonsectarian institute of higher education founded in 1955, it welcomes nearly 8,000 students worldwide. The university has campuses in New York City and Long Island, New York; Jonesboro, Arkansas; and Vancouver, British Columbia, as well as programs around the world. More than 112,000 alumni are part of an engaged network of physicians, architects, scientists, engineers, business leaders, digital artists, and healthcare professionals. Together, the university's community of doers, makers, healers, and innovators empowers graduates to change the world, solve 21st-century challenges, and reinvent the future. For more information, visit nyit.edu. The School of Architecture and Design at New York Tech seeks part-time Adjunct Faculty for courses in the Digital Art and Design department. Openings are available for daytime and evening courses across multiple specialties: Open Positions & Responsibilities: UX Researcher (NYC Campus Only) Teach graduate-level UX Research and Data Analysis. Experience with prototyping tools, usability testing, and teaching online is preferred. General Duties • Collaborate with department chairs and coordinators on course progress., • Support a positive, inclusive, and engaging learning environment., • Adhere to university policies and academic integrity guidelines. Qualifications (By Role) UX Researcher Master's or Bachelor's + 5 years' experience in UX Research/Data Analytics. Familiarity with usability testing tools required. Online and international teaching experience preferred. Animation & Virtual Production Master's or Bachelor's + 5 years in Animation, VFX, or Digital Arts. Proficiency in Maya, Unreal Engine, motion capture, and a strong portfolio required. Design Historian Master's+ in Design History, Visual Communication, or related field. Must bridge historical design with current practices and emerging tech; prior teaching/research experience required. Motion Graphics Bachelor's (Master's preferred) + 5 years in motion graphics. Expertise in After Effects, Adobe Suite, and possibly Cinema 4D or Blender. Experience with AI-assisted tools and critiques beneficial. Maya - Hard Surface Modeling Bachelor's (Master's preferred) + 5 years in 3D production. Expertise in Maya, clean topology, and real-time asset optimization. Teaching/mentoring experience strongly preferred. Product Growth Design Bachelor's (Master's preferred) + 5 years in product design or UX. Deep knowledge of growth models, tracking tools (Amplitude, Mixpanel), and experimentation strategy. Experience mentoring or teaching desirable. Visual Identity Bachelor's (Master's preferred) + 5 years in branding or art direction. Experience with scalable identity systems, enterprise branding, and AI/ML-based tools. Teaching or speaking experience a plus. Digital Cinematography Bachelor's degree (Masters preferred) +5 years in professional cinematography, visual effects, or digital production. Proficiency in Adobe, working knowledge of 3D software preferred. Familiarity with a variety of digital camera systems and workflows (e.g., RED, Blackmagic, DSLR, smartphonesTeach a BFA course focused on introducing students to a variety of camera systems, best practices for lighting, color space and exposure, understanding green/blue screen capture and compositing workflows, and understanding the cross-discipline nature of virtual camera systems in 3D/VFX Applications. To Apply Submit a cover letter and CV for consideration. New York Institute of Technology 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, disability or protected veteran status. In compliance with local legislation as well as to provide greater transparency to candidates, the annual base salary range for this position is listed. New York Tech considers factors such as (but not limited to) scope and responsibilities of the position, candidate experience/expertise, education/training, key skills, geographic location, internal peer equity as well as market, organizational considerations and/or applicable collective bargaining agreement when extending an offer. Adjunct Faculty offered hourly rate is contingent on applicable rank. USD $99.00/Hr. USD $108.00/Hr.