Trabajos google cloud platform en Hoboken, New JerseyCrear alertas

Lead Software Engineer, DevOps Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive___ and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who love to solve real problems and meet real customer needs. We are seeking DevOps Engineers who are passionate about marrying data with emerging technologies to join our team. As a DevOps Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One. What You’ll Do: * Lead a portfolio of diverse technology projects and a team of developers with deep experience in machine learning, distributed microservices, and full stack systems to create solutions that help meet regulatory needs for the company * Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community * Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment * Utilize programming languages like Java, Python, SQL, Ruby and Go, Container Orchestration services including Docker and Kubernetes, CM tools including Ansible and Terraform, and a variety of AWS tools and services Basic Qualifications: * Bachelor’s degree * At least 4 years of experience in DevOps Engineering (Internship experience does not apply) * At least 3 years of experience in Cloud Native technologies (Amazon Web Services, Microsoft Azure, Google Cloud Platform) * At least 4 years of Unix or Linux system administration experience Preferred Qualifications: * 7+ years of DevOps Engineering experience * 4+ years of experience with coding and scripting (Python, SQL, Java, JavaScript, Golang, Bash, Perl or Ruby) * 4+ years of experience with technologies Apache Mesos, Marathon, or Apache Spark * 4+ years of experience using build and deployment tools (Jenkins, Docker) * 2+ years of experience with distributed database systems (Cassandra, ElasticSearch) * 2+ years of experience with deploying clustered web services * 2+ years of experience working within Agile Development Practices 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. New York, NY: $211,000 - $240,800 for Lead Software 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 ___. 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 ___ 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 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 4 years of experience programming with Python, Scala, or Java (Internship experience does not apply) * At least 3 years of experience designing and building data-intensive solutions using distributed computing * At least 2 years of on-the-job experience with an industry recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow) * At least 1 year of experience productionizing, monitoring, and maintaining models Preferred Qualifications: * 1+ years of experience building, scaling, and optimizing ML systems * 1+ years of experience with data gathering and preparation for ML models * 2+ years of experience developing performant, resilient, and maintainable code * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field * 3+ years of experience with distributed file systems or multi-node database paradigms * Contributed to open source ML software * Authored/co-authored a paper on a ML technique, model, or proof of concept * 3+ years of experience building production-ready data pipelines that feed ML models * Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance 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: $158,600 - $181,000 for Senior Machine Learning Engineer McLean, VA: $158,600 - $181,000 for Senior Machine Learning Engineer New York, NY: $173,000 - $197,400 for Senior 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 ___. 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 ___ 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).

Manager, Network Security, Tech & Data Risk Management Capital One is one of the fastest growing organizations in the world today, powered by our passion for our customers. We are serious about technology, we dream big, and we execute: Capital One moved our entire enterprise to the public cloud over the course of five years. Just as we prioritize driving innovation through technology, we equally prioritize cybersecurity, reliability, software quality, and data management. Technology & Data Risk Management (TDRM) is a small organization that packs a big punch. The ~200 professionals in TDRM are trusted experts who oversee ~14,000 developers at Capital One. We raise the bar for excellence in cybersecurity, reliability, and tech risk, and data management risk. We shape strategy and decisions, challenge activities to ensure they meet our standards, and perform independent tests of our security and technology risk. For years, the cybersecurity community has debated whether the CISO should report to the CIO or not. In regulated financial services, the answer is: both. The first-line CISO has operational responsibilities and reports to the CIO. The second-line Chief Tech Risk Officer (CTRO) and the Tech & Data Risk Management (TRM) organization have broader responsibilities for cybersecurity but also reliability, software quality, resilience, and the risk of failing to manage our data. The CTRO is independent and oversees the work of the CISO, the CIO/CTO, and the Chief Data Officer. The CTRO reports to the Chief Risk Officer, who reports directly to the CEO. Our business leaders must make technology decisions constantly. TDRM makes sure they have the tech and data risk information they need to make good decisions. Associates within TDRM are highly-skilled information security, cybersecurity, site reliability engineering, technology, data analyst, data scientist, and risk management professionals. They have a wealth of experience and a demonstrated ability to add value with their advice and to deliver high-impact results. Role-specific text This position - Manager, Network Security - is a unique opportunity for candidates with technical cybersecurity experience who have a desire to expand that expertise in a risk management organization. This individual will have the opportunity to leverage their technical subject matter expertise to provide advisory, oversight, and effective challenge to stakeholders within the first line of defense. This role will engage with and build relationships across multiple lines of defense while overseeing network security across Capital One’s private and public cloud footprints. Responsibilities: * Provide advisory, oversight, and effective challenge to the first line of defense. * Provide technical assessments of cybersecurity controls design and effectiveness. * Draft assessments for senior management and other stakeholders, to include regulatory agencies and the Board of Directors, as needed. * Stay current on emerging cyber threats and potential implications to the firm. * Collaborate effectively with colleagues, stakeholders, and leaders across multiple organizations to achieve objectives. * Coordinate program-related activities and deliverables to ensure effective collaboration within the team and across stakeholder groups. * Proven track record of leading, mentoring, and influencing others. * Ability to communicate clearly in written and verbal form. * Ability to manage multiple projects while maintaining superior results. * Ability to work individually and cross-functionally. * Execution oriented and a self-motivator. Basic Qualifications: * Bachelor’s degree or military experience * 3+ years of experience in the financial services industry or highly regulated industry (healthcare, energy, telecommunications) * 3+ years of experience implementing network defenses (firewalls, network access control, intrusion detection, intrusion prevention, web application firewalls, web gateways, and proxies) in AWS (Amazon Web Services) or GCP (Google Cloud Platform) * 2+ years of experience implementing Zero Trust or Secure Access Service Edge (SASE) in AWS or GCP * 1+ certifications for AWS or GCP * 2+ years of audit or risk management experience Preferred Qualifications: * 2+ years of experience with Palo Alto Networks technologies * 1 or more audit or risk-focused certification: CRISC (Certified in Risk and Information Systems Control), CISA (Certified Information Systems Auditor), CISM (Certified Information Security Manager), or CISSP (Certified Information System Security Professional) * 2+ years of experience implementing network defenses for global payment networks At this time, Capital One will not sponsor a new 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: $193,400 - $220,700 for Manager, Cyber Technical New York, NY: $211,000 - $240,800 for Manager, Cyber Technical Plano, TX: $175,800 - $200,700 for Manager, Cyber Technical Richmond, VA: $175,800 - $200,700 for Manager, Cyber Technical 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 ___. 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 ___ 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) 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 ___. 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 ___ 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 (ML Algorithms, Deep Learning, Python, 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. 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. McLean, VA: $193,400 - $220,700 for Lead Machine Learning Engineer New York, NY: $211,000 - $240,800 for Lead Machine Learning Engineer Richmond, VA: $175,800 - $200,700 for Lead Machine Learning Engineer San Francisco, CA: $211,000 - $240,800 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 ___. 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 ___ 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).

Disinguished Engineer In Risk Tech, we provide the foundation for Capital One to thrive in an uncertain world. Our engaged, empowered, and intelligent people produce outstanding products, working toward the common goal of transforming risk management with technology. We build data-driven tools that use machine learning to prevent risks & automatically detect issues before they impact our business, our customers, or our communities. This is a unique opportunity to be the key technical force behind a CEO-visible initiative at the heart of Capital One's long-term risk management strategy. As the senior-most engineer reporting directly to the Senior Director, you will be the lead technical expert for Core Compliance. You will actively participate in and support a fundamental transformation: moving from traditional spot-checking to an "always-on," continuous monitoring ecosystem for our internal processes. You will partner closely with the engineering manager and team responsible for delivery, providing the deep technical guidance to solve their most complex challenges. Furthermore, you will be at the epicenter of our practical application of Generative AI. This team launched Capital One's first production-level GenAI use cases, and has many more in the pipeline. You will not just oversee these rollouts but actively accelerate our adoption, setting the pattern for how we apply these powerful new technologies to solve critical business problems. As a seriously great software engineer, you will contribute by leading from the front, focusing on hands-on technical execution to solve our most complex challenges. You will personally write code, build prototypes, and lead the design for our most critical systems, rotating between leading projects from inception to production and diving into areas of need to get them to the finish line. A core part of your role will be to partner with leadership to drive the technical strategy for our pioneering GenAI work, leading its hands-on implementation. You will use your deep expertise in AWS and our internal infrastructure to relentlessly push us to improve our tooling and delivery speed. In all of this, you will act as a role model and coach, investing deeply in mentoring other engineers and championing our culture. We're looking for a leader with a distinct bias for action and a deep sense of ownership. You are a hands-on technologist who thrives in the trenches and is a pragmatic problem-solver, with a proven ability to translate ambiguous, high-stakes business challenges into concrete, executable technical plans. This technical skill is matched by an obsession with customer and business results, always starting with the user and working backward to deliver measurable impact. Distinguished Engineers are: * Deep technical experts and thought leaders that help accelerate adoption of the very best engineering practices, while maintaining knowledge on industry innovations, trends and practices * Visionaries, collaborating on Capital One’s toughest issues, to deliver on business needs that directly impact the lives of our customers and associates. They set the architecture and technical strategy for the domain * Role models and mentors, helping to coach and strengthen the technical expertise and know-how of our engineering and product community * Evangelists, both internally and externally, helping to elevate the Distinguished Engineering community and establish themselves as a go-to resource on given technologies and technology-enabled capabilities Responsibilities: * Build awareness, increase knowledge and drive adoption of modern technologies, sharing consumer and engineering benefits to gain buy-in * Strike the right balance between lending expertise and providing an inclusive environment where others’ ideas can be heard and championed; leverage expertise to grow skills in the broader Capital One team * Promote a culture of engineering excellence, using opportunities to reuse and innersource solutions where possible * Effectively communicate with and influence key stakeholders across the enterprise, at all levels of the organization * Operate as a trusted advisor for a specific technology, platform or capability domain, helping to shape use cases and implementation in an unified manner * Lead the way in creating next-generation talent for Tech, mentoring internal talent and actively recruiting external talent to bolster Capital One’s Tech talent Basic Qualifications: * Bachelor’s Degree * At least 7 years of experience with application architecture and design patterns * At least 5 years of experience with architectural patterns (SOA), building APIs, microservices, event streams, and high throughput systems Preferred Qualifications: * Master’s Degree in Computer Science or a Master’s Degree in Software Engineering * 10+ years of experience of working with business leaders on the implications of architectural decisions * 4+ years building cloud native architectures, architecting enterprise applications on public cloud platforms and cloud ecosystems (AWS, GCP or Azure) * 5+ years experience with DevOps or DevSecOps and building CI/CD pipelines using Jenkins, Artifactory, Chef, Ansible, AWS CloudFormation templates, GitHub, and Sonar * 12+ years of experience in software engineering, with focus on designing and implementing enterprise-level systems * 10+ years of experience with enterprise architecture, software architecture, and design patterns * 3+ years of experience with cloud computing (AWS, Microsoft Azure, Google Cloud) * Strong proficiency in modern programming languages and data processing frameworks * 3+ years of experience with Data strategy, AI and ML Technologies * AWS Solution Architect - Professional or Associate 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: $287,800 - $328,500 for Distinguished 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 ___. 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 ___ 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, Software Engineering, Full Stack We are seeking a talented Senior Manager people leader to provide technical leadership and guidance in support of building out and scaling GraphQL as a platform for the Enterprise. This is a high impact role is for a technologist who can not only help design and implement scalable and performant GraphQL solutions but also help guide strategy, mentor the team, and streamline development practices. You will be a key player in shaping our technical roadmap, elevating our engineering talent, and fostering a culture of efficiency and quality. What You’ll Do: * Technical Leadership: Guide the team on the technical vision and strategy for GraphQL, including schema design, API governance, performance, and security as well as guide the use of Graph in AI. * Architectural Guidance: Lead the design and implementation of complex GraphQL systems, ensuring they are scalable and reliable. You'll provide expert architectural guidance to your team and others. * Cross LOB Influence: Work with teams across the enterprise to develop solutions to meet their evolving needs and collaborate closely with partners in Card to build supporting platforms. * Mentorship & Collaboration: Act as a technical expert and mentor, helping to guide engineers, improve their skills, and deliver high-quality solutions. * Cross-Functional Partnership: Partner closely with product managers and designers to translate business needs into technical solutions and align on project goals. * Innovation & Research: Stay current with cutting edge industry trends and best practices in GraphQL, supporting AI using Graph and MCP, streamline developer experience. Evaluate and recommend new tools / approaches to enhance our capabilities. * Problem Solving: Tackle complex technical challenges, providing hands-on expertise to resolve critical issues and keep development on track. * Quality & Standards: Help establish and enforce high standards for code quality, testing, and operational excellence within our GraphQL services and Agile workflows. Basic Qualifications: * Bachelor’s Degree * At least 6 years of experience in software engineering (Internship experience does not apply) * At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) * At least 4 years of people management experience Preferred Qualifications: * Master’s Degree * 9+ years of experience in at least one of the following: JavaScript, Java, TypeScript, SQL, Python, Angular or Go * 3+years of experience with GraphQL * 3+ years of experience with AWS, GCP, Microsoft Azure, or another cloud service * 4+ years of experience in open source frameworks * 7+ years of people management experience * 2+ years of experience in Agile practices 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: $225,400 - $257,200 for Sr. Mgr, Software Engineering New York, NY: $245,900 - $280,600 for Sr. Mgr, Software 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 ___. 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 ___ 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 (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 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. New York, NY: $211,000 - $240,800 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 ___. 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 ___ 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 AI Engineer (Gen AI Platform Services, Agentic Systems) 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 3 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 1 year of experience developing AI and ML algorithms or technologies * At least 3 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 4 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience 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 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: $158,600 - $181,000 for Senior AI Engineer McLean, VA: $158,600 - $181,000 for Senior AI Engineer New York, NY: $173,000 - $197,400 for Senior AI Engineer San Francisco, CA: $173,000 - $197,400 for Senior AI Engineer San Jose, CA: $173,000 - $197,400 for Senior 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 ___. 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 ___ 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 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 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. McLean, VA: $193,400 - $220,700 for Lead Machine Learning Engineer New York, NY: $211,000 - $240,800 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 ___. 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 ___ 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 Software Engineer, Android (Bank Tech) Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who love to solve real problems and meet real customer needs. As a Capital One Android Software Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One. At Capital One, the iOS and Android platforms are recognized as an opportunity to reach our customers in unique, personal and engaging ways. Nothing is off limits as we explore exciting ways to take advantage of the full ecosystem of mobile devices including Watch, TV, and whatever future developments Apple or Google creates. Our engineers are provided with top of the line MacBook Pros, multiple high-end monitors and the necessary tooling to develop the best possible products with the least amount of friction. We operate in small, productive agile teams and use the best industry tools to collaborate across teams. Responsibilities: * Develop Android client code solutions that deliver on Product Strategy and adhere to established engineering best practices, design guidelines and principles * Partner with Software Engineers, UX/UI, Quality Engineers, Product Owners/Analysts to deliver high performing quality customer experiences that are engaging, purposeful and powerful in their simplicity * Actively participate in all team agile ceremonies, contributing to ensure that all team commitments are delivered on time and of the highest quality * Be an active advocate of the mobile platform through both internal and external developer communities * Remain an active learner in all technologies related to mobile development (Kotlin, Swift, 3rd party libraries, etc.) * Influence and contribute to group discussions and incorporate feedback/communication from the broader team * Mentor junior to mid-level members of the team * Actively engage with developers outside of the local sprint team across various disciplines (Android, iOS, APIs, Web, etc.) * Own and lead delivery of major components and platform needs in partnership with senior engineers and Architects * Consistently share best practices and improve processes within and across sprint teams * Identify technical obstacles early and work closely with the team to find creative solutions * Review pull requests and ensure adherence to Kotlin and other language idioms * Grow and provide SME level leadership Basic Qualifications: * Bachelor’s Degree * At least 4 years of professional software engineering experience (Internship experience does not apply) * At least 3 years of experience building Android applications * At least 3 years of experience with Kotlin Preferred Qualifications: * Master’s Degree * 5+ years of experience building Android applications * 4+ years of experience with Kotlin * 2+ years of experience with JetPack Compose * 1+ years of experience with a Cloud Platform like AWS/Azure/GCP 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. New York, NY: $211,000 - $240,800 for Lead Software 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 ___. 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 ___ 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, Software Engineer (Velocity Black) Capital One's Digital Commerce & Innovation organization is seeking a Software Engineer, People Leader, at the Senior Manager level with a passion for building and growing full stack applications to join its Velocity Black by Capital One team.As a candidate for this role, you’re able to seamlessly switch from diving deep into technology with engineers to driving high-level, strategic discussions. You are a naturally curious technologist and stay on top of emerging trends, including prototyping of nascent technologies. You are not afraid to question any existing processes and solutions, yet you display a keen sense of business value proposition and focus on the right priorities. At Capital One, you will help leverage 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.Velocity Black by Capital One harnesses the power of artificial intelligence, the warmth of human experts and the convenience of the latest interfaces to help high-performance people actualize the full potential of their lives. By harnessing 24/7 chat, AI, and mobile payments, we help our customers do more and be more in the digital age. From access to the hottest restaurants to guaranteed upgrades at the world’s finest resorts. Make a custom request through the app and you will be chatting to our team within 1 minute, 24/7/365. The service we offer and build upon is unlike anything ever built before, and our product is rapidly evolving. Velocity Black is our core product, built in React Native and offering exclusive access and unbeatable word-wide service across Travel, Experiences, Luxury Goods and Dining. Our internal and bespoke request management platform, Gravity, is built with React and Node.js micro services, virtually augmenting our expert customer service agents with AI, delivering the unrivalled personal service our members expect and love.What You’ll Do: • Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices, and full stack systems to create solutions that help meet regulatory needs for the company, • Design, build and deliver meaningful consumer products powered by the latest technology with a focus bringing cohesiveness and development to features for for web and mobile, • Need to wear the ‘Product hat’ with deep empathy for the customer, • Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to evolve how our customers interact with Capital One, • Work within and across teams to design, develop, test, implement, and support technical solutions across a full-stack of development tools and technologies, • Lead the craftsmanship, availability, resilience, and scalability of our solutions Basic Qualifications: • Bachelor’s Degree, • At least 6 years of experience in software engineering (Internship experience does not apply), • At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud), • At least 4 years of people management experience Preferred Qualifications: • 3+ years of experience in one or both of the following: Python, Typescript, • 7+ years of experience in software development, • 2+ years of experience in Agile practices and landing AI use cases in production, • 3+ years of experience with AWS, • Familiarity with AI tools (Retrieval Augment Generation (RAG), Vector databases, Prompt engineering, LangChain, Llama, EMP, Sandbox, Haystack), • Successful in-market implementation of UI/UX frontend development using React, • Familiarity with Data and Feature Pipelines, • Familiarity with Node, React, • Master’s Degree 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: $245,900 - $280,600 for Sr. Mgr, Software 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 ___. 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 ___ 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).

Distinguished Engineer - Commercial Card As a Distinguished Engineer at Capital One, you will be a part of a community of technical experts working to define the future of banking in the cloud. You will work alongside our talented team of developers, machine learning experts, product managers and people leaders. Our Distinguished Engineers are leading experts in their domains, helping devise practical and reusable solutions to complex problems. You will drive innovation at multiple levels, helping optimize business outcomes while driving towards strong technology solutions. At Capital One, we believe diversity of thought strengthens our ability to influence, collaborate and provide the most innovative solutions across organizational boundaries. You will promote a culture of engineering excellence, and strike the right balance between lending expertise and providing an inclusive environment where the ideas of others can be heard and championed. You will lead the way in creating next-generation talent for Capital One Tech, mentoring internal talent and actively recruiting to keep building our community. Distinguished Engineers are expected to lead through technical contribution. You will operate as a trusted advisor for our key technologies, platforms and capability domains, creating clear and concise communications, code samples, blog posts and other material to share knowledge both inside and outside the organization. You will specialize in a particular subject area, but your input and impact will be sought and expected throughout the organization. In this role, you will work with the Commercial Card team to help drive the vision and technical direction for our products, playing a crucial role in leading tech initiatives and delivering complex solutions, ranging from evaluating platform choices for building new products as well as embarking on technological transformation of existing products. The role will also play a key role in collaborating with distinguished engineers across the Business Card & Payments group to define technical strategies that align to the business objectives. Mentoring engineers within the commercial card organization and elevating engineering excellence will be a key objective of this role. Hands-on experience is a big plus. If you are ready to provide thought leadership and build engineering excellence across Capital One's engineering teams, come join us in our mission to change banking for good. Key responsibilities: * Articulate and evangelize a bold technical vision for your domain * Decompose complex problems into practical and operational solutions * Ensure the quality of technical design and implementation * Serve as an authoritative expert on non-functional system characteristics, such as performance, scalability and operability * Continue learning and injecting advanced technical knowledge into our community * Handle several projects simultaneously, balancing your time to maximize impact * Act as a role model and mentor within the tech community, helping to coach and strengthen the technical expertise and know-how of our engineering and product community * Hands-on experience to lead teams on POCs and closer to the execution on critical technical problems * Mentor engineers to elevate engineering excellence in the organization * Bachelor’s Degree * At least 7 years of experience in software engineering and solution architecture * At least 7 years of experience in enterprise architecture and design patterns * At least 4 years of experience with public cloud technologies (AWS, Microsoft Azure, Google Cloud) * Masters Degree * 10+ years of experience in software engineering and solution architecture * 10+ years of professional experience coding in commonly used languages like Java, Python, Go, JavaScript, TypeScript, Swift * 10+ years of professional experience in the full lifecycle of system development, from conception through architecture, implementation, testing, deployment and production support 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: $263,900 - $301,200 for Distinguished Engineer New York, NY: $287,800 - $328,500 for Distinguished Engineer Richmond, VA: $239,900 - $273,800 for Distinguished 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 ___. 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 committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. 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 ___ 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 (GenAI Platform Services, Python) 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: $193,400 - $220,700 for Lead AI Engineer McLean, VA: $193,400 - $220,700 for Lead AI Engineer New York, NY: $211,000 - $240,800 for Lead AI Engineer San Francisco, CA: $211,000 - $240,800 for Lead AI Engineer San Jose, CA: $211,000 - $240,800 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 ___. 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 ___ 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 Machine Learning Engineer (ML Algorithms, Deep Learning, Python, 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. 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 4 years of experience programming with Python, Scala, or Java (Internship experience does not apply) * At least 3 years of experience designing and building data-intensive solutions using distributed computing * At least 2 years of on-the-job experience with an industry recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow) * At least 1 year of experience productionizing, monitoring, and maintaining models Preferred Qualifications: * 1+ years of experience building, scaling, and optimizing ML systems * 1+ years of experience with data gathering and preparation for ML models * 2+ years of experience developing performant, resilient, and maintainable code * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field * 3+ years of experience with distributed file systems or multi-node database paradigms * Contributed to open source ML software * Authored/co-authored a paper on a ML technique, model, or proof of concept * 3+ years of experience building production-ready data pipelines that feed ML models * Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance 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. McLean, VA: $158,600 - $181,000 for Senior Machine Learning Engineer New York, NY: $173,000 - $197,400 for Senior Machine Learning Engineer Richmond, VA: $144,200 - $164,600 for Senior Machine Learning Engineer San Francisco, CA: $173,000 - $197,400 for Senior 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 ___. 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 ___ 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, Software Engineer, Full stack Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Front End Software Engineers who are passionate about using cutting-edge open source frameworks with emerging technologies. As a Capital One Lead Software Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One. What You’ll Do: * Work with a team of developers with deep experience in distributed microservices and full stack systems * Perform software development on Front End Applications leveraging a test-driven development pattern * Own the technical design and development of cross-functional, multi-platform application systems * Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community * Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment * Utilize programming languages like JavaScript (Angular, React, Node), HTML/CSS, TypeScript and Java, open source frameworks, RESTful web services, and work on cross-browser and cross-device development Basic Qualifications: * Bachelor’s Degree * At least 4 years of professional software engineering experience (Internship experience does not apply) * At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Preferred Qualifications: * Master's Degree * 7+ years of experience in at least one of the following: Angular, JavaScript, React, Node, TypeScript, or Java * 4+ years of experience in open source frameworks * 1+ years of people management experience * 2+ years of experience in Agile practices 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. McLean, VA: $193,400 - $220,700 for Lead Software Engineer New York, NY: $211,000 - $240,800 for Lead Software Engineer Richmond, VA: $175,800 - $200,700 for Lead Software 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 ___. 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 ___ 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, AI Engineering (People Leader) (GenAI 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. * Oversee the design, development, testing, deployment, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Make high judgment build-vs-buy decisions across 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. * Attract and retain top talent in the AI industry and nurture personal and professional development for your team. Foster a culture of learning and staying abreast of the state-of-the-art in AI. 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 get fulfillment from empowering others to achieve their potential and you actively drive professional development through mentoring and coaching. You are hands-on when necessary and lead by example. * 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 1 year of people leadership experience Preferred Qualifications: * 3 years of experience managing and leading an engineering team * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * 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 * 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. Sales Territory: $204,900 - $233,800 for Sr. Mgr, AI Engineering McLean, VA: $225,400 - $257,200 for Sr. Mgr, AI Engineering New York, NY: $245,900 - $280,600 for Sr. Mgr, AI Engineering San Francisco, CA: $245,900 - $280,600 for Sr. Mgr, AI 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 ___. 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 ___ 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 Software Engineer (Velocity Black) Capital One's Digital Commerce & Innovation organization is seeking a Senior Lead, Software Engineer with a passion for building and growing full stack applications to join its Velocity Black by Capital One team. As a candidate for this role, you’re able to seamlessly switch from diving deep into technology with engineers to driving high-level, strategic discussions. You are a naturally curious technologist and stay on top of emerging trends, including prototyping of nascent technologies. You are not afraid to question any existing processes and solutions, yet you display a keen sense of business value proposition and focus on the right priorities. At Capital One, you will help leverage 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. Velocity Black by Capital One harnesses the power of artificial intelligence, the warmth of human experts and the convenience of the latest interfaces to help high-performance people actualize the full potential of their lives. By harnessing 24/7 chat, AI, and mobile payments, we help our customers do more and be more in the digital age. From access to the hottest restaurants to guaranteed upgrades at the world’s finest resorts. Make a custom request through the app and you will be chatting to our team within 1 minute, 24/7/365. The service we offer and build upon is unlike anything ever built before, and our product is rapidly evolving. Velocity Black is our core product, built in React Native and offering exclusive access and unbeatable word-wide service across Travel, Experiences, Luxury Goods and Dining. Our internal and bespoke request management platform, Gravity, is built with React and Node.js micro services, virtually augmenting our expert customer service agents with AI, delivering the unrivalled personal service our members expect and love. What You’ll Do: * Design, build and deliver meaningful consumer products powered by the latest technology with a focus bringing cohesiveness and development to features for for web and mobile * Need to wear the ‘Product hat’ with deep empathy for the customer * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to evolve how our customers interact with Capital One * Work within and across teams to design, develop, test, implement, and support technical solutions across a full-stack of development tools and technologies * Lead the craftsmanship, availability, resilience, and scalability of our solutions Basic Qualifications: * Bachelor’s Degree * At least 6 years of professional software engineering experience (Internship experience does not apply) * At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) * At least 2 years of experience delivering features to users and building APIs Preferred Qualifications: * 3+ years of experience in one or both of the following: Python, Typescript * 7+ years of experience in software development * 2+ years of experience in Agile practices and landing AI use cases in production * 3+ years of experience with AWS * Familiarity with AI tools (Retrieval Augment Generation (RAG), Vector databases, Prompt engineering, LangChain, Llama, EMP, Sandbox, Haystack) * Successful in-market implementation of UI/UX frontend development using React * Familiarity with Data and Feature Pipelines * Familiarity with Node, React * Master’s Degree 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: $245,900 - $280,600 for Sr. Lead Software 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 ___. 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 ___ 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 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 Machine Learning Engineer McLean, VA: $225,400 - $257,200 for Sr. Lead Machine Learning Engineer New York, NY: $245,900 - $280,600 for Sr. Lead Machine Learning Engineer Richmond, VA: $204,900 - $233,800 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 ___. 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 ___ 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).

Director, Platform Engineering At Capital One, we’re changing banking for good. We were founded on the belief that no one should be locked out of the financial system. We’re dedicated to helping foster a world where everyone has an equal opportunity to prosper. We’re a bank, but we don’t think like one. We’re always thinking about what’s next, about how we can innovate and inspire, and about how we can develop the tools our customers need to improve their financial lives - by leveraging best in class technology. We are seeking a Director, Platform Engineering who will drive our connectivity technical evolution across all our pillars including engineering, security and automation. In this role you will bring together key stakeholders across product, tech, risk, cyber, and lines of business together to drive strategy and execute on high priority, strategic initiatives. You will be able to deliver outsized and measurable outcomes by defining and guiding objectives, roadmaps, cross organization collaboration, progress and technical requirements for our Teams. This will require ability to communicate across technical and non-technical stakeholders and manage strategic initiatives with a deep focus on execution and follow-through, accountability and results. Responsibilities: * Design, document, and maintain the enterprise-wide Google Workspace governance framework, roadmap, and associated policies based on core data governance principles. * Partner with Product and Risk stakeholders to translate business objectives and risk tolerance into platform configurations, security practices, and data handling policies. * Secure executive and key stakeholder buy-in for the governance program and drive the adoption of a data-aware culture. * Lead a formal, documented change management system for all governance-related modifications to the Workspace environment, ensuring clear communication and minimal disruption. * Design, implement, and enforce a zero-trust security model for contextual access to data and applications. * Partner with Access team on the IAM strategy for Google Workspace, including multi-factor authentication, SSO integration, and context-aware access policies. * Partner with Cyber to architect, implement, and manage a robust DLP program for Google Drive to prevent unauthorized sharing of sensitive data. * Develop and manage a lifecycle-based governance process for third-party applications accessing Workspace data, including risk assessments and security audits. * Partner with the Endpoint team to define, deploy, and enforce security policies for all endpoints accessing the Workspace environment, utilizing Google's device and mobile management features. * Ensure the Google Workspace platform meets or exceeds regulatory and legal framework requirements through proper configuration, operation, and auditing. * Collaborate with Legal, Compliance, and HR to apply Google Vault data retention, eDiscovery, and legal holds correctly. * Develop and implement a data classification scheme with data stewards, applying labels and retention policies in Google Drive and Gmail for effective data lifecycle management. * Serve as the primary technical contact for Google Workspace audits, including evidence gathering, responding to inquiries, and managing remediation, utilizing Google's compliance reports and certifications. * Identify and design automations for repetitive administrative tasks, partnering with the K&P SWE team for implementation. * Collaborate with the K&P SWE team to build custom solutions and workflows using Google Apps Script for specific business needs. * Work with the K&P SWE team to develop scripts for programmatic data access and analysis from the Admin Reports API, creating custom dashboards and automated alerts. * Manage and govern the use of Google Workspace APIs to ensure secure, efficient, and well-documented integrations with other enterprise systems, adhering to the principle of least privilege. Basic Qualifications: * Bachelor's degree * At least 7 years of experience in platform engineering, enterprise information technology, systems engineering, or cybersecurity. * At least 4 years of experience with Google Workspace or Microsoft 365. Preferred Qualifications: * Master's degree in Computer Science, Information Systems, Cybersecurity, or related field. * 5+ years of experience with enterprise architecture, administration, and security of a Google Workspace or Microsoft 365. * 5+ years of experience configurating and managing core Google Workspace security and governance tools, including Data Loss Prevention (DLP), Identity and Access Management (IAM), Context-Aware Access, security reporting, and Google Vault for eDiscovery and retention. * Associate Google Workspace Administration or Professional Google Workspace Administrator certification. * Certified Information Systems Security Professional (CISSP), Certified Information Security Manager (CISM), or Certified Cloud Security Professional (CCSP) certification. 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. McLean, VA: $226,000 - $257,900 for Principal Platform Engineer New York, NY: $246,500 - $281,300 for Principal Platform Engineer Richmond, VA: $205,400 - $234,400 for Principal Platform 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 ___. 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 ___ 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).

Distinguished Engineer - Velocity Black As a Distinguished Engineer at Capital One, you will be a part of a community of technical experts working to define the future of banking in the cloud. You will work alongside our talented team of developers, machine learning experts, product managers and people leaders. Our Distinguished Engineers are leading experts in their domains, helping devise practical and reusable solutions to complex problems. You will drive innovation at multiple levels, helping optimize business outcomes while driving towards strong technology solutions. At Capital One, we believe diversity of thought strengthens our ability to influence, collaborate and provide the most innovative solutions across organizational boundaries. You will promote a culture of engineering excellence, and strike the right balance between lending expertise and providing an inclusive environment where the ideas of others can be heard and championed. You will lead the way in creating next-generation talent for Capital One Tech, mentoring internal talent and actively recruiting to keep building our community. Distinguished Engineers are expected to lead through technical contribution. You will operate as a trusted advisor for our key technologies, platforms and capability domains, creating clear and concise communications, code samples, blog posts and other material to share knowledge both inside and outside the organization. You will specialize in a particular subject area, but your input and impact will be sought and expected throughout the organization. The Distinguished Engineer (Director-level IC) will be part of Velocity Black by Capital One that harnesses the power of artificial intelligence, the warmth of human experts and the convenience of the latest interfaces to help high-performance people actualize the full potential of their lives. By harnessing 24/7 chat, AI, and mobile payments, we help our customers do more and be more in the digital age. From access to the hottest restaurants to guaranteed upgrades at the world’s finest resorts. Make a custom request through the app and you will be chatting to our team within 1 minute, 24/7/365. The service we offer and build upon is unlike anything ever built before, and our product is rapidly evolving. Velocity Black is our core product, offering exclusive access and unbeatable word-wide service across Travel, Experiences, Luxury Goods and Dining via a mobile application. Our internal and bespoke request management platform, Gravity, is built with React and Node.js micro services, virtually augmenting our expert customer service agents with AI, delivering the unrivalled personal service our members expect and love. As a candidate for this role, you’re able to seamlessly switch from diving deep into technology with engineers to driving high-level, strategic discussions. You are a naturally curious technologist and stay on top of emerging trends, including prototyping of nascent technologies. You are not afraid to question any existing processes and solutions, yet you display a keen sense of business value proposition and focus on the right priorities. If you are ready to provide thought leadership and build engineering excellence across Capital One's engineering teams, come join us in our mission to change banking for good. You will: * Design, build and deliver meaningful consumer products powered by the latest technology with a focus bringing cohesiveness and development to features for for web and mobile * Need to wear the ‘Product hat’ with deep empathy for the customer while helping to inform and develop the technology strategy, roadmap and vision for the platforms you own while delivering application capabilities * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to evolve how our customers interact with Capital One and Velocity Black * Work within and across teams to design, develop, test, implement, and support technical solutions across a full-stack of development tools and technologies * Develop and leverage trusted relationships across Architecture, Design, and other Technology leaders to ensure strategic alignment across key Velocity Black and broader Digital Commerce and Innovation initiatives * Lead the craftsmanship, availability, resilience, and scalability of our solutions Key responsibilities: * Articulate and evangelize a bold technical vision for your domain * Decompose complex problems into practical and operational solutions * Ensure the quality of technical design and implementation * Serve as an authoritative expert on non-functional system characteristics, such as performance, scalability and operability * Continue learning and injecting advanced technical knowledge into our community * Handle several projects simultaneously, balancing your time to maximize impact * Act as a role model and mentor within the tech community, helping to coach and strengthen the technical expertise and know-how of our engineering and product community Basic Qualifications: * Bachelor’s Degree * At least 7 years of software engineering or software development experience * At least 5 years of experience with cloud native technologies (Amazon Web Services, Microsoft Azure, Google Cloud) Preferred Qualifications: * Bachelor’s or Masters’ Degree in Computer Science or related field * 10+ years of experience in software engineering or software development * 7+ years of experience with public cloud providers (Amazon Web Services, Google Cloud Platform, Microsoft Azure) * 5+ years of experience in building large scale, customer facing systems * 5+ years of experience in Agile practices * 3+ years of experience in modernizing technology stacks * 2+ years of experience in fintech or a startup 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. Chicago, IL: $239,900 - $273,800 for Distinguished Engineer New York, NY: $287,800 - $328,500 for Distinguished 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 ___. 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 ___ 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, Python, Kubernetes) 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: $193,400 - $220,700 for Lead AI Engineer McLean, VA: $193,400 - $220,700 for Lead AI Engineer New York, NY: $211,000 - $240,800 for Lead AI Engineer San Francisco, CA: $211,000 - $240,800 for Lead AI Engineer San Jose, CA: $211,000 - $240,800 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 ___. 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 ___ 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 (Enterprise Platform Technlogy) 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: $225,400 - $257,200 for Sr. Lead Machine Learning Engineer New York, NY: $245,900 - $280,600 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 ___. 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 ___ 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 WE'RE HIRING! If you love data and are looking for unlimited growth opportunities, we want to talk with you about joining Further. Further is a data, cloud, and AI company whose focus is helping companies turn raw data into the right decisions. We have an award winning culture of extraordinary people. Our purpose is to enable people to thrive so that businesses can thrive. We believe that the work you do should matter - it should be meaningful to you professionally and personally, and it should have a positive impact on both you and our clients. If this sounds exciting to you, let's chat! GMP CLIENT SERVICES LEAD What experience should you have: • 5+ years of experience maintaining strong relationships with clients at all levels, from technical users to executive stakeholders., • 2+ years of experience working with GMP partner managers or reps, with a strong understanding of GMP licensing and operations., • Proven experience in account management, building rapport with clients, and proactively managing a book of business., • The ability to manage multiple priorities, including client onboarding cut-off dates and renewal deadlines, while maintaining a proactive outreach plan., • Strong understanding of Google Marketing Platform (GMP) licensing, operations, and the overall Google partner ecosystem., • Oversee the setup and smooth onboarding of new GMP licensing clients, ensuring all processes and documentation are completed accurately and on time., • Proactively manage the client renewal process, working to secure renewals well in advance of their expiration dates and communicating status updates to all relevant stakeholders., • Actively identify and pursue opportunities for upsell within the client portfolio, including additional GMP licenses, increased product usage, or the sale of proprietary solutions., • Serve as the primary point of contact for clients, triaging incoming support requests and coordinating with internal teams to ensure timely and effective resolution., • Achieve a high client renewal rate and positive satisfaction feedback, demonstrating a strong focus on delivering exceptional service and value., • Successfully identify and convert upsell opportunities within the existing client base, contributing to the expansion of the GMP licensing portfolio. Apply today or check out all our opportunities! #LI-Remote #LI-Hybrid By submitting your application, you consent to our collection, processing and disclosure of the contained personal data in accordance with our data practices. If you are a resident of the U.S. state of California, you can read about our data practices and your related privacy rights here. If you are a resident of the European Economic Area, Switzerland or the United Kingdom, you can read about our data practices and your related privacy rights here.

Our Sales SA positions will require 25-35% travel to conferences, partner offices, and customer sites. This role will support opportunities on the East coast. At RapidScale, exceptional technology is powered by exceptional people. We deliver secure, reliable managed and advisory services across private, public, and hybrid clouds, helping organizations innovate, adapt, and grow. As an Elite Broadcom VMware VCSP Partner and top partner with AWS, Azure, and Google, our solutions focus on business outcomes with embedded cyber resiliency and AI to protect today and enable tomorrow backed by the strength of the Cox family of companies. What does the Sales Solutions Architecture Team do? Sales Solution Architects work in partnership with Solutions Specialists (Sales Representatives) and serve as their technical counterparts in all phases of the sales lifecycle. From evangelizing technologies to demonstrating our feature-rich Cloud Reliability Platform, our job is to help customers figure out and solve their cloud initiatives. We do this by taking a consultative approach in our discovery and assessment phases with the output being solutions that are built with reliability, performance, and security baked-in on top of our Managed Cloud Portfolio. As an integral part of the Solutions Architecture team, you will design systems that are purpose-built and well suited to their target infrastructure. As an AWS Senior Solutions Architect, you will: • Represent the technical expertise of RapidScale and act to position RapidScale as an agnostic trusted advisor to customers in the sales process, • Provide Pre-Sales technical support to the go-to-market team to drive revenue and cloud adoption, • Conduct full technical discovery and assessment workshops to identify pain points and gather business and technical requirements. This will include Well-Architected Reviews, Migration Readiness Assessments, Total Cost of Ownership (TCO) analysis, etc., • Consult with prospects and architect solutions aligned with the identified customer requirements by leveraging the Well-Architected Framework methodology, • Produce cost and labor estimates and SOWs for potential projects, • Collaborate and participate in the creation of technical collateral, documentation, pitch and presentation materials (e.g. SOWs, HLDs, Decks, Reference Architectures), • Provide technical training sessions and workshops for Sales and Go to Market staff, • Clearly document and communicate proposed architectures to implementation teams during and after the pre-sales cycle to validate and verify project success, • Interface with the Product team and provide feedback for improving product quality and capabilities by leveraging information gathered in field engagements, • Provide thought leadership by speaking at industry events such as trade shows, panels or marketing events as well as publishing blog posts, white papers and participating in case studies What Technical Attributes We're Looking for In You: • Relevant Industry-leading certification required: AWS Solutions Architect Professional • Experience working in fast-paced sales environments, • Hands-on experience with AWS migrations, deployments, etc., • Deep understanding of AWS with hands-on experience with migrations, deployments, etc., • Functional knowledge of Microsoft Azure, Google Cloud, and traditional datacenter infrastructure, • Understanding of IaaS / PaaS / SaaS platforms; e.g. EC2, RDS, etc., • Understanding of containerization & virtualization technologies; e.g Kubernetes, Docker, EKS, ECS, etc., • Understanding IaC tools; e.g. Puppet, Ansible, CloudFormation, Terraform, • Understanding of different Disaster Recovery and data protection principles, • Understanding of PCI, HIPAA, GDPR regulatory compliance frameworks, • Understanding of Relational and Non-Relational Databases (MySQL, Oracle, MS SQL Server, NoSQL, etc.) Minimum Qualifications: • A BA/BS Degree with 6+ years of experience, or a MS Degree with 4+ years of experience, or a Ph.D with one year of experience, or 10 years of overall experience without a degree, • Professional Level Public Cloud Certification (AWS, Azure, Google), • Background and experience working in the context of a sales team, • Strong presentation, written and verbal communication skills, • Strong analytical problem-solving ability, • High level of comfort communicating effectively across internal organizations, • Ability to speak at public events in front of large audiences is a bonus, • Fluency in English USD 151,400.00 - 227,200.00 Compensation: Compensation includes a base salary of $151,400.00 - $227,200.00. The salary rate may vary within the anticipated range based on factors such as the ultimate location of the position and the selected candidate's experience. In addition to the salary range identified herein, this role is also eligible for an annual incentive/commission target of $52,800.00. Benefits: The Company offers eligible employees the flexibility to take as much vacation with pay as they deem consistent with their duties, the company's needs, and its obligations; seven paid holidays throughout the calendar year; and up to 160 hours of paid wellness annually for their own wellness or that of family members. Employees are also eligible for additional paid time off in the form of bereavement leave, time off to vote, jury duty leave, volunteer time off, military leave, and parental leave. Applicants must currently be authorized to work in the United States for any employer without current or future sponsorship.

Our Sales SA positions will require 25-35% travel to conferences, partner offices, and customer sites. At RapidScale, exceptional technology is powered by exceptional people. We deliver secure, reliable managed and advisory services across private, public, and hybrid clouds, helping organizations innovate, adapt, and grow. As an Elite Broadcom VMware VCSP Partner and top partner with AWS, Azure, and Google, our solutions focus on business outcomes with embedded cyber resiliency and AI to protect today and enable tomorrow backed by the strength of the Cox family of companies. We are seeking a highly skilled and experienced Software Solutions Architect to join our growing team. The ideal candidate will have a deep understanding of software architecture, application modernization, and cloud-native development, with a strong background in Pre-Sales Solution Architecture. In this role, you will educate clients on modern software design, articulate how our software experts can help refactor and modernize applications, and oversee project plans that drive business value. This position requires a blend of technical expertise, strategic thinking, and excellent communication skills. Key Responsibilities: • Serve as a technical expert and trusted advisor, positioning RapidScale as a leader in software and application modernization during the sales process., • Conduct technical discovery workshops to identify pain points, gather requirements, and define solutions for clients seeking to modernize or refactor applications., • Lead software architecture and modernization strategy workshops, covering topics such as microservices, cloud-native design, DevOps, and CI/CD pipelines., • Architect software solutions on public cloud platforms (AWS, Azure, Google Cloud), leveraging deep expertise in cloud-native development and modernization tools., • Develop cost estimates, labor projections, and Statements of Work (SOWs) for modernization projects., • Collaborate in the creation of technical collateral, documentation, reference architectures, and sales presentation materials., • Provide technical training and enablement for Sales and Go-to-Market teams., • Ensure smooth handoff from pre-sales to implementation teams, clearly documenting and communicating proposed architectures for execution., • Work closely with Product teams, providing field-driven feedback to enhance solutions and capabilities., • Serve as a thought leader, speaking at industry events, publishing white papers, and contributing to case studies. Qualifications: Minimum: • Bachelor's degree in a related discipline and 6 years' experience in a related field. The right candidate could also have a different combination, such as a master's degree and 4 years' experience; a Ph.D. and 1 year of experience; or 10 years' experience in a related field, • Professional or Expert-Level certification in one or more major cloud platforms (AWS, Azure, Google Cloud)., • Experience working in fast-paced sales environments, particularly in pre-sales solution architecture., • Expertise in software architecture patterns, including microservices, monolithic refactoring, event-driven architecture, and serverless computing., • Strong understanding of DevOps, CI/CD pipelines, API design, and security best practices., • Proficiency in multiple programming languages such as Java, Python, C#, JavaScript, Go, or Rust., • Experience with containerization & orchestration technologies (Kubernetes, Docker, EKS, ECS, OpenShift)., • Hands-on experience with cloud migrations and application modernization initiatives., • Familiarity with Infrastructure as Code (IaC) tools (Terraform, CloudFormation, Ansible, Puppet). Preferred: • Cloud-native application development specialty certification (cloud-agnostic or platform-specific)., • Experience modernizing legacy systems and managing technical debt., • Hybrid cloud expertise across AWS, Azure, and Google Cloud., • Knowledge of AI/ML integration into software applications., • Experience with service mesh technologies (Istio, Linkerd) and API gateways. USD 126,200.00 - 189,200.00 per year Compensation: Compensation includes a base salary of $126,200.00 - $189,200.00. The salary rate may vary within the anticipated range based on factors such as the ultimate location of the position and the selected candidate's experience. In addition to the salary range identified herein, this role is also eligible for an annual incentive/commission target of $52,800.00. Benefits: The Company offers eligible employees the flexibility to take as much vacation with pay as they deem consistent with their duties, the company's needs, and its obligations; seven paid holidays throughout the calendar year; and up to 160 hours of paid wellness annually for their own wellness or that of family members. Employees are also eligible for additional paid time off in the form of bereavement leave, time off to vote, jury duty leave, volunteer time off, military leave, and parental leave. Applicants must currently be authorized to work in the United States for any employer without current or future sponsorship. In California, we will consider non-driving candidates who use alternate means of transportation in accordance with applicable law.

Our Sales SA positions will require 25-35% travel to conferences, partner offices, and customer sites. This role will support opportunities on the East coast. At RapidScale, exceptional technology is powered by exceptional people. We deliver secure, reliable managed and advisory services across private, public, and hybrid clouds, helping organizations innovate, adapt, and grow. As an Elite Broadcom VMware VCSP Partner and top partner with AWS, Azure, and Google, our solutions focus on business outcomes with embedded cyber resiliency and AI to protect today and enable tomorrow backed by the strength of the Cox family of companies. What does the Sales Solutions Architecture Team do? Sales Solution Architects work in partnership with Solutions Specialists (Sales Representatives) and serve as their technical counterparts in all phases of the sales lifecycle. From evangelizing technologies to demonstrating our feature-rich Cloud Reliability Platform, our job is to help customers figure out and solve their cloud initiatives. We do this by taking a consultative approach in our discovery and assessment phases with the output being solutions that are built with reliability, performance, and security baked-in on top of our Managed Cloud Portfolio. As an integral part of the Solutions Architecture team, you will design systems that are purpose-built and well suited to their target infrastructure. What You'll Do: As a Solution Architect you will: • Provide Pre-Sales technical support to the GTM Team to drive revenue and cloud adoption, • Conduct full technical discovery and assessment workshops to identify pain points and gather business and technical requirements. This will include Well-Architected Reviews, Migration Readiness Assessments, Total Cost of Ownership (TCO) analysis, etc., • You will architect client solutions to meet client requirements using a well architected framework methodology, • Clearly communicate proposed architectures in the pre-sales cycle for early validation and verification to the internal teams responsible for implementing and providing ongoing support, • Be a technology evangelist and educate prospects and customers on the cloud solution that makes the most sense for their business and technology requirements, • Interface with Product Marketing and provide feedback for improving product quality and capabilities by leveraging information gathered in field engagements, • Collaborate in the creation of technical collateral (e.g. SOWs, HLDs), and help develop sales staff by providing formal training, • Produce cost and labor estimates and SOWs for potential projects, • Provide thought leadership by speaking at industry events such as trade shows, panels or marketing events as well as publishing blog posts, white papers and participating in case studies What Technical Attributes We're Looking for In You: • Relevant Industry-leading certification required: AZ-305 (Azure Solutions Architect - Expert), • Deep understanding of the following Public Cloud Platforms: Microsoft Azure, AWS, • Understanding of containerization & virtualization technologies; e.g Kubernetes, Docker, • Understanding of IAAS / PAAS / SAAS platforms; e.g. EC2, VMs, etc., • Understanding IaC tools; e.g. Puppet, Ansible, ARM/Bicep, Terraform, • Understanding of different Disaster Recovery and data protection principles, • Understanding of PCI, HIPAA, GDPR regulatory compliance frameworks, • Understanding of Relational and Non-Relational Databases (MySQL, Oracle, MS SQL Server, NoSQL), • Expertise in networking, compute, storage and OS fundamentals What General Attributes We're Looking for In You: Ideal candidate must be enthusiastic, a self-starter, and willing to step up to new challenges. Must be comfortable in the dynamic atmosphere of a technical organization with a rapidly expanding customer base. Minimum Qualifications: • A BA/BS Degree with 6+ years of experience, or a MS Degree with 4+ years of experience, or a Ph.D with one year of experience, or 10 years of overall experience without a degree, • Professional Level Public Cloud Certification (AWS, Azure, Google), • Background and experience working in the context of a sales team, • Strong presentation, written and verbal communication skills, • Strong analytical problem-solving ability, • High level of comfort communicating effectively across internal organizations, • Ability to speak at public events in front of large audiences is a bonus, • Fluency in English USD 151,400.00 - 227,200.00 Compensation: Compensation includes a base salary of $151,400.00 - $227,200.00. The salary rate may vary within the anticipated range based on factors such as the ultimate location of the position and the selected candidate's experience. In addition to the salary range identified herein, this role is also eligible for an annual incentive/commission target of $52,800.00. Benefits: The Company offers eligible employees the flexibility to take as much vacation with pay as they deem consistent with their duties, the company's needs, and its obligations; seven paid holidays throughout the calendar year; and up to 160 hours of paid wellness annually for their own wellness or that of family members. Employees are also eligible for additional paid time off in the form of bereavement leave, time off to vote, jury duty leave, volunteer time off, military leave, and parental leave. Applicants must currently be authorized to work in the United States for any employer without current or future sponsorship.

Software engineer - Infrastructure Location: NYC (Hybrid) Type: Full-Time About Us We’re building the AI Finance Analyst for healthcare operators—designed to help leaders at medical groups and health systems run their business with the same clarity and agility they expect in clinical operations. Our product acts like an embedded analyst, surfacing insights across service lines, contracts, and staffing—without needing deep technical or financial expertise. In less than a year, we’ve raised $7M from NEA, FPV, and Virtue. We’re now preparing to scale with the next wave of enterprise healthcare customers—and we’re growing the team to do it. About the Role At Translucent, Engineers working on Infrastructure build and own systems that provide the foundations for our complex multi-agent platform. They work on wide ranging problems from managing, optimizing our platform for other engineers to build on. This includes managing our cloud(GCP), CI/CD systems, and observability. Another key aspect of this role is building systems that make the rest of the engineering team more productive by optimizing local developer environments, developer workflows, and integrating or building modern AI tools to enable rapid product development. Your technical expertise, problem solving skills, curiosity and willingness to do rapid experiments will contribute to the success of the company and lay the foundations of an AI first engineering organization. Responsibilities • Build and own build systems, CI/CD pipelines and cloud infrastructure., • Help build and maintain a world class observability stack for monitoring performance, and reliability., • Support and build local developer environments that are fast, accurate and easy to use to enable rapid product development., • Evangelize best engineering practices, and work with developer teams to ensure infrastructure aligns with the needs of the organization ., • Contribute to improving security by owning compliance with audits, and customer requests., • Evaluate and introduce cutting edge AI developer tools to improve efficiency, and velocity of every developer. What You Bring • Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience., • 5+ years software development experience at a venture-backed startup or top technology firm., • Proficiency in cloud platforms such as AWS, Azure or Google Cloud (We are in GCP)., • Solid understanding of modern infrastructure practices like infrastructure-as-code, deployment automation and CI/CD., • Experience with observability tools like DataDog, OTEL, Prometheus or similar., • Excellent communication and problem solving skills to work effectively in a fast faced collaborative environment., • Familiarity with security best practices for protecting sensitive data, applications and infrastructure., • Experience with AI native developer tools and how to use them to their full potential while prioritizing safety, high quality code, and standards. Why Translucent: We’re building healthcare’s AI financial analyst. We help providers make faster, smarter, and more confident decisions without digging through dashboards or waiting on analyst teams. Backed by top-tier investors, our team combines deep healthcare expertise and technical excellence to reinvent how work gets done in healthcare systems.

Job DescriptionAbout Us:Live experiences help people cross today's digital divide and focus on what truly connects us – the here, the now, this once-in-a-lifetime moment that's bringing us together. To fulfill Gametime's mission of uniting the world through shared experiences, we make it easy for people to discover and access the live experiences that matter most.With platforms on iOS, Android, mobile web and desktop supporting more than 60,000 events across the US and Canada, we are reimagining the event ticket industry in order to move at the speed of life. Engineering at Gametime You will be a key contributor to the Engineering team responsible for building and maintaining the client-side applications and backend systems that power the Gametime experience for millions of users. We empower engineers to take full ownership of their code and foster a culture grounded in testing, code reviews, observability, experimentation, and operational excellence. At Gametime, we value collaboration, inclusivity, and the strength of diverse perspectives — creating an environment where people love to build together. We are also investing deeply in the future of AI. This includes building internal tools and workflows powered by AI, incorporating agentic systems into our backend architecture, and preparing our marketplace and infrastructure to be AI-ready. Engineers are encouraged to explore and adopt AI capabilities in their development process, and those who contribute to advancing AI adoption within our stack will play a key role in shaping that evolution. The Role We are seeking an experienced Senior Backend Software Engineer to join the Supply Product team. This team is responsible for the technology and systems that power the supply side of the Gametime marketplace. This is a senior individual contributor (IC3) position for engineers who demonstrate strong technical ownership within their team, contribute to key projects, and support engineering excellence through thoughtful implementation and collaboration. You will collaborate closely with Engineering, Product, Design, Data, and business stakeholders to shape the future of our platform. Key Responsibilities: • Design and implement high-performance Golang microservices to support real-time inventory ingestion, ordering and fulfillment, and third-party integrations., • Take ownership of components and features within backend systems, ensuring reliability, scalability, and maintainability., • Build, test, monitor, and maintain critical integrations and infrastructure., • Develop and support robust internal and external APIs with high throughput and low latency requirements., • Collaborate closely with Product, Design, and Data teams to deliver technical solutions aligned with user and business goals., • Participate in code reviews, share knowledge with teammates, and uphold engineering best practices., • Drive projects from implementation to production deployment with a focus on quality and operational readiness., • Contribute to ongoing improvements in system performance, observability, and CI/CD workflows., • Explore and help implement AI-powered capabilities within our systems and workflows, including agentic tools and intelligent automation., • Support a collaborative, inclusive engineering culture through thoughtful communication and continuous improvement. Key Competencies: • Backend Development: Proficiency in building reliable backend systems using Golang (or Python, Ruby, Java, C++, C#, Rust, Scala, etc.)., • System Design: Experience developing distributed systems with a focus on performance, reliability, and maintainability., • API Development: Capable of designing and maintaining well-structured internal and external APIs., • Cloud Infrastructure: Familiarity with AWS, Google Cloud, or Azure and infrastructure-as-code practices., • Event-Driven Systems: Experience working with messaging systems like Kafka, RabbitMQ, or similar., • Databases: Solid experience with relational databases (e.g. PostgreSQL, MySQL) and NoSQL technologies (e.g. MongoDB, DynamoDB)., • Team Collaboration: Works effectively with cross-functional partners to deliver reliable solutions and shares knowledge through code reviews and discussion., • Education: Bachelor's degree in Computer Science, Engineering, or a related field., • Experience: 5+ years in software engineering. What We can Offer: • Flexible PTO, • Competitive salary & equity package, • Monthly Gametime credits for any event ($1,200/yr), • Medical, dental, & vision insurance, • Life insurance and disability benefits, • Diverse Family-forming benefits through Carrot Fertility, • 401k, HSA, pre-tax savings programs, • Company offsites and meet-ups, • Wellness programs, • Tenure recognition At Gametime pay ranges are subject to change and assigned to a job based on specific market median of similar jobs according to 3rd party salary benchmark surveys. Individual pay within that range can vary for several reasons including skills/capabilities, experience, and available budget. United States - Pay Range$164,467—$193,491 USD Gametime is committed to bringing together individuals from different backgrounds and perspectives. We strive to create an inclusive environment where everyone can thrive, feel a sense of belonging, and do great work together. As an equal opportunity employer, we prohibit any unlawful discrimination against a job applicant on the basis of their race, color, religion, veteran status, sex, parental status, gender identity or expression, transgender status, sexual orientation, national origin, age, disability or genetic information. We respect the laws enforced by the EEOC and are dedicated to going above and beyond in fostering diversity across our company.

Job Description🚀 About PermitFlow PermitFlow is building AI agents for the $1.6T construction industry. We’re creating the leading pre-construction platform, starting with the $12B permitting market. Our platform automates the slow, manual permitting process for builders, covering everything from jurisdiction research to application preparation, submission, and real-time tracking. By transforming fragmented regulations and manual workflows into structured, intelligent systems, we help contractors move faster, reduce risk, and scale with confidence. We've raised $36.5M+ with Kleiner Perkins leading our Series A, joined by Initialized Capital, Y Combinator, Felicis Ventures, and Altos Ventures. Our backers include founders and executives from OpenAI, Google, Procore, ServiceTitan, Zillow, PlanGrid, and Uber. We are a team of architects, engineers, permitting experts, and product builders who have felt the pain of pre-construction firsthand and are committed to fixing it. Demand is growing faster than we can meet, and we’re hiring top talent to help us scale. Our HQ is in New York City with a hybrid schedule (3 in-office days per week). Preference for NYC-based candidates or those open to relocation. ✅ What You’ll Do As an Applied Machine Learning Engineer, you will develop the ML foundation for PermitFlow’s AI agents. You’ll design, prototype, and deploy intelligent systems that process documents, extract insights, and power autonomous permitting workflows. You will own the end-to-end ML lifecycle, from model research and data engineering to production deployment and continuous evaluation. You will: * Design, implement, and optimize LLM-powered models for document processing, data extraction, and permit workflow automation * Develop retrieval-augmented generation (RAG) pipelines and search/retrieval systems for jurisdictional and regulatory data * Rapidly prototype, fine-tune, and evaluate pre-trained models for real-world NLP tasks like classification, entity recognition, and summarization * Build scalable ML infrastructure and backend services, integrating models into production systems that power AI agents * Work with large structured and unstructured datasets to improve indexing, retrieval, and contextual accuracy * Own the full ML lifecycle: experimentation, deployment, monitoring, evaluation, and iteration * Balance ML, retrieval, and rule-based approaches to ship reliable, maintainable, and high-impact AI features * Collaborate with engineering, product, and domain experts to shape ML-powered solutions for complex pre-construction challenges 🙌 What We’re Looking For * 5+ years of experience in machine learning engineering, with production ML experience * Deep expertise in NLP and LLMs (OpenAI GPT, Claude, Hugging Face models) * Experience building retrieval and vector search systems (e.g., FAISS, Elasticsearch, Pinecone, Weaviate) * Proficiency in Python and ML frameworks like PyTorch or TensorFlow * Strong track record of deploying and scaling ML systems with measurable business impact * Experience with cloud ML infrastructure (AWS, GCP, or Azure) * Strong system design and architectural thinking, with a bias toward shipping and iterating quickly * Comfort operating in fast-moving startup environments with high ownership and autonomy 💙 Benefits * 📈 Competitive salary and meaningful equity * 🩺 100% paid health, dental, and vision coverage * 💻 Company laptop and equipment stipend * 🍽️ Daily meals via UberEats and a fully stocked kitchen * 🚍 Commuter benefits * 🎤 Team building events and offsites * 🌴 Unlimited PTO Compensation Range: $175K - $245K

Job DescriptionAbout InfoTrack InfoTrack is a platform that seamlessly connects law firms to the courts and to the services that they need to litigate successfully. We're global leaders in legal technology with unparalleled expertise in forging integrations that can drastically improve the efficiency of law firms and the legal system. As a highly ambitious company, we know that our people are critical to our success. That's why we're passionate about fostering a high-performance culture built on professional development, open communication, and transparent leadership. If you're smart, dedicated, and eager to help build a market-leading solution that makes a difference in the lives of our clients, join us. About the role At InfoTrack, .NET Developers play a key role in transforming how legal professionals work. You’ll design and scale backend systems, integrate cutting-edge technologies like LLMs and OCR, and partner closely with product and engineering teams to deliver software that streamlines critical legal processes. Responsibilities • Build and maintain backend services for AI-powered document extraction, e-filing, and workflow automation, • Integrate with LLM APIs, OCR tools, and court systems for seamless data flow, • Write and review scalable C# code in a microservices architecture, • Collaborate with PMs, partner companies, and engineers to scope and ship features, • Improve observability for AI features (logging, metrics, cost tracking), • Stay current on AI/document processing tools and share insights, • Contribute to shared infrastructure and cross-functional development efforts, • Ensure quality through testing, code reviews, and process improvements, • Recommend product enhancements based on technical insights and user behavior, • Proficient in C# and the .NET ecosystem, • Experience with Entity Framework, MS SQL, and third-party API integrations, • Familiar with microservice architecture, Git, CI/CD, and automated testing, • Strong debugging, problem-solving, and collaboration skills, • Comfortable working in Agile teams and independently scoping work, • Entrepreneurial mindset with awareness of business tradeoffs, • Strong written and verbal communication skills for cross-team and external collaboration, • Exposure to LLM APIs, including monitoring and cost observability, • Experience with OCR tools (e.g., Azure Document Intelligence, Google Document AI, Tesseract), • Skilled in prompt design (zero-shot, few-shot, chain-of-thought) for reliable outputs, • Experience reducing AI hallucinations via prompting, model selection, and post-processing, • Hands-on experience integrating OpenAI, Azure OpenAI, or Anthropic APIs at scale, • Familiarity with MongoDB, React, or other modern frontend/NoSQL technologies, • Understanding of observability, cloud infrastructure, and containerization (Azure, AWS, Docker, Kubernetes), • Awareness of vector databases and semantic search, • Familiarity with unit, integration, performance, and smoke testing The anticipated starting base pay range for this role is listed below. Base salary is not the only component of our competitive total rewards package - you may also be eligible for bonus, commissions, equity, and other benefits as described below. Actual compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications. $110,000 - $175,000 base pay Benefits What Sets InfoTrack apart At InfoTrack, we’re committed to a workplace where everyone feels comfortable doing their best work and having fun! We also believe in a work/life balance that fulfills you while you’re here and supports you when you’re not. We built our benefits package to prove that we’re committed to you having everything you need. Our benefits guide, located here, illustrates what we offer full-time employees and a sneak preview is below: • 401(k) Match, • Medical, Dental, & Vision Insurance- 85% of employee premiums are covered by InfoTrack, and 70% for your family premiums, • Employer-funded Short/Long-Term Disability, Life, and Accidental Death & Dismemberment (AD&D) Insurance, • 20 Days of Paid Time Off (PTO), • 11 Paid Holidays, • “Be Me Time” off for mental health, re-charging, volunteering, • Matching Gift Program We believe that the key to our success is you. Your unique background, life experience, knowledge, self-expression, and talent make you uniquely you. Who you are, what you have experienced, and how you think inspires us to be innovative and bold. InfoTrack is an equal opportunity employer. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. We welcome the unique contributions that you can bring in terms of your education, opinions, culture, ethnicity, race, ancestry, sex, gender identity and expression, national origin, citizenship, marital status, age, languages spoken, veteran status, color, religion, disability, sexual orientation, and beliefs. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

Job Description Vortexa was founded to solve the immense information gap that exists in the energy industry. By using massive amounts of new satellite data and pioneering work in artificial intelligence, Vortexa creates an unprecedented view on the global seaborne energy flows in real-time, bringing transparency and efficiency to the energy markets and society as a whole. The Challenge Ingesting data from multiple external vastly different sources at hundreds of rich data points per second, moving terabytes of data while processing it in real-time, running complex and complicated prediction and forecasting AI models while coupling their output into a hybrid human-machine data refinement process and presenting the result through a nimble low-latency SaaS solution used by customers around the globe is no small feat of science and engineering. This processing requires a highly reliable, stable, fault-tolerant infrastructure that can withstand multiple and varied uses and abuses by data analysts, data scientists, industry experts, and the end-users. Fast product iteration cycles necessitate a platform that allows engineers to deploy frequently, independently, and without in-depth knowledge of infrastructure complexities. The Data Services Team is responsible for the developer platform, and the impressive Amazon AWS estate Vortexa uses to achieve its purpose. This includes two major areas of concern: infrastructure availability, security and costs, as well as developer experience. We use a wide variety of technologies like Kubernetes, Kubevela, Golang, Kafka, Opensearch, Airflow, Athena, and others. You will be a key member of the small, globally distributed team, instrumental in assessing current technologies, delivering the best possible engineering experience with the shortest development iterations, helping crystallise, converge and standardise technology stacks and implementing the infrastructure roadmap, ensuring 100% uptime, availability, and fault-tolerance of every component of the platform, while optimising AWS costs. You will provide your customers such as data analysts, data scientists, and other engineers with a delightful developer experience tooling boosting their productivity, and allowing them to concentrate on business logic. You will codify and automate any operational knowledge gathered so that R&D can focus purely on creating value for our customers. Requirements You Are: • Determined to create infrastructure that gets out of the way with a great developer experience, • Excellent at troubleshooting unfamiliar code., • Striving to be more skilled than Google with Kubernetes, • An AWS power user and evangelist, • Familiar with Apache Kafka and Kafka Streams – deployment, monitoring, resiliency, fault-tolerance, cluster planning and operations, applications debugging, • Experienced with ElasticSearch operations and usage, • Fluent in Terraform, and Go, • Familiar with cloud-native application design and deployment, • Not afraid of challenges and infrastructure troubleshooting, • A “can-do” person – “I’ve done my bit” has no place at VortexaAwesome If You:, • Are familiar with Airflow or other workflow orchestration tools, • Stock-options in a fast-growing, high-potential business, • A vibrant and diverse workplace, • An open, collaborative, and supportive working culture built on merit, which celebrates creative thinking and “getting things done.”, • The opportunity to work with AI-driven technology in a scale-up environment with commodity trading experts, • 401k with up to 2% contributions matched by Vortexa, • Private Health Insurance offered via Blue Cross Shield, • Dental and Vision cover offered via Guardian, • Global Volunteering Policy to help you ‘do good’ and feel better

Job DescriptionOur Mission: Hospital-Quality Care, Everywhere. The healthcare industry still relies on faxes and phone tag to coordinate critical care for patients at home. We think patients and the clinicians who serve them deserve better than a system stuck in 1995. Verse Medical is building the modern software infrastructure to make it happen. We're a well-funded Series C company (backed by General Catalyst, SignalFire, and Sapphire Ventures) on a mission to heal a fragmented system. Our platform connects the dots between providers, payors, and patients, ensuring people get the high-quality care they need, reliably and right where they live. We’re growing fast and looking for people who are driven by this mission to join us! Our Values: The Principles That Guide Us Our values are the operating system for how we work together and with our partners. They aren't just words on a wall; they are the principles we bring to every decision, every day. * We are transparent, upfront and direct. We operate with honesty and clarity. We share information openly, the good and the bad, and believe that direct, respectful feedback is the foundation of trust and progress. * We value speed of iteration. We are building something new, which means we learn by doing. We prioritize rapid iteration and getting solutions into the hands of users, believing that progress is more valuable than perfection. * We give 110% effort, 30% of the time. We are passionate about our mission, and there are moments that require us to go the extra mile. We believe in focused intensity when it counts, balanced by a sustainable pace that keeps our team energized for the long run. * We empathize with customers to a fault. When our users face a problem, we own it. Instead of asking them to change, we ask ourselves, "How can we make this better?" We believe true innovation comes from deep empathy and a relentless focus on solving the real-world challenges of healthcare. Your Impact: How You'll Help Us Heal a Broken System As a Full Stack Software Engineer, you'll be shaping the future of at-home care. You'll be a key part of the team, working closely with customers & internal teams to define exactly what needs to be built. Our engineers deeply understand our users’ and internal needs, which has been a big key to our success. What You'll Achieve: A Glimpse into Your Contributions Within your first year, you will have the opportunity to: * Build software for hospitals and patients that will make their lives easier. * Find creative solutions to complex technical and product problems. * Build prototypes fast, but with a path in mind to turn them into robust systems over time. * Operate with a lot of independence and responsibility in solving complex issues. * Work with relevant stakeholders outside of engineering to figure out the right solutions to issues. What You'll Bring: The Skills for Our Shared Mission We believe that diverse experiences and backgrounds lead to better solutions. While we have an idea of what will help someone succeed in this role, we are open to being convinced by your unique story and skills. If you believe you can achieve the outcomes above, we encourage you to apply. Core Skills & Experience: * At least 1 year of experience building, shipping, and maintaining full-stack applications in a production environment. * Advanced degree in Computer Science or other relevant technical focuses. * Proficiency in building applications with both backend (e.g., Python, TypeScript/JavaScript) and frontend (e.g., React, Vue) technologies. * A strong command of SQL and experience designing and querying relational databases (e.g., PostgreSQL, MySQL). * The ability to articulate complex technical concepts clearly to both technical and non-technical audiences. Our Team & Our Tools You'll be joining the Engineering team, a group of talented innovators who value pragmatism, simplicity, and speed of execution. We collaborate closely and believe the best ideas can come from anywhere. The tools and technologies you'll use include * Languages: Python, Typescript * Frameworks: Flask, React, Apollo GraphQL * Infrastructure: Postgres, Airflow, AWS, Google Cloud Platform The Rewards & Reality: Compensation, Benefits & Logistics We believe in taking care of our team, both professionally and personally. Here’s what we offer: * Meaningful Compensation: $130,000-$160,000 base salary + equity * Comprehensive Health & Wellness: We cover 100% of your health insurance premium and provide access to high-quality dental and vision insurance plans for you and your dependents. * Plan for the Future: We offer a 401(k) plan to help you save for your future. At this time, the company does not offer a 401(k) match. * Career Growth: You'll have opportunities for rapid career advancement in a company that's at a major inflection point. We want you to grow with us. Work Environment & Location * This role is based in our New York City office in Chelsea. We have a hybrid model, with a requirement of 4 days per week in the office to foster collaboration and innovation. * Please note that at this time, we are not able to provide visa sponsorship for this position. All candidates must be authorized to work in the United States. Our Pledge for an Equitable Future At Verse Medical, our mission is to deliver equitable, hospital-quality care to everyone, regardless of their background or where they live. We can only achieve this if our own team reflects the diversity of the patients we serve. We are committed to building a workplace where everyone feels a sense of belonging, where their contributions are valued, and where they can do their best work. We embrace diversity of all kinds—race, gender, age, religion, identity, experience—and are actively working to build a more inclusive and equitable world, starting from within our own walls. We are an equal opportunity employer. We are also committed to providing a positive and accessible interview experience. If you require any accommodations to participate in our process, please contact us at . Compensation Range: $130K - $160K

Job Description Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. As a Senior Data Scientist, you will apply strong expertise in AI through the use of machine learning, data mining, and information retrieval to design, prototype, and build next-generation advanced analytics engines and services. You will collaborate with cross-functional teams and business partners to define the technical problem statement and hypotheses to test. You will develop efficient and accurate analytical models which mimic business decisions and incorporate those models into analytical data products and tools. You will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results. Key Responsibilities • Serve as a resource for creating AI agents and RAG databases to solve problems. Develop AI Agent tools to automate the retrieval, wrangling, and analysis of data., • Utilize combined knowledge of data structures, analytics, algorithms/models, and strong computer science fundamentals to prepare datasets, conduct analytics, and develop deployable solutions with guidance from more senior resources., • Able to analyze and prepare complex and new data sources and incorporate them into analytical solutions., • Collaborate with customers and key stakeholders on initiating ideas, performing design, analysis, and process improvement., • Develop and deploy AI and ML solutions on Google Cloud Platform., • Utilize massive data sources to craft business insights and features for innovative solutions., • 6+ years of overall experience, 4+ years working as a GenAI Data Scientist., • Experience with Python from a functional programming paradigm, able to manage dependencies and virtual environments, along with version control in git, • Machine learning and deep learning fundamentals, natural language processing (NLP), cloud computing, multi-agent systems understanding, data analysis, programming proficiency, and a grasp of ethical considerations in AI development., • Experience with agents frameworks (preferably Langchain)., • Experience with Prompt engineering- Chatbots and virtual assistants, Image generation etc., • Experience with proprietary and/or open source LLMs., • Experience in prompt engineering. This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

Job Description Allara is a telemedicine platform delivering expert, multidisciplinary healthcare for women with hormonal conditions, covered by many insurance plans. Allara's comprehensive telehealth platform pairs patients with a dedicated care team to provide expert medical guidance, nutrition and lifestyle coaching, and personalized treatment plans that go beyond the basics. As one of the fastest-growing women's health platforms in the US, Allara provides innovative, high-quality care while addressing long-overlooked gaps in the healthcare system for women with hormonal health needs. The Opportunity We're an Engineering and Product team of ten - and growing! Reporting to our head of engineering, we are looking for backend engineers to join us. This is a great opportunity to be a foundational member of our technical team with significant opportunities for professional growth. Our tech stack is React, React Native, NodeJS, NestJS TypeScript, SQL, AWS, Docker, and AWS cdk. We are a Google Suite, Jira, Slack, and Notion shop for internal collaboration. As a core member of our collaborative and product-focused technical team, you'll architect and build the backend infrastructure that powers Allara's patient and provider experiences. Our ideal new teammate is someone who balances deep technical expertise in backend systems with being mission-driven. We look for "helpers" across all functions as we scale, people with an affinity for helping patients solve complex health challenges through technology. We are also looking for folks with experience building scalable, secure systems, designing robust APIs, and who excel at data architecture and infrastructure optimization. Location: Hybrid SoHo office in NYC at least three days a week (Tuesday/Wednesday/Thursday) with flexibility as needed. Your Impact • Design and implement scalable, secure APIs and microservices that power our care delivery platform, • Architect and optimize database schemas, query performance, and data pipelines, • Contribute to the design and deployment of backend services in AWS, collaborating with DevOps on containerization and IaC, • Lead backend system design decisions and establish architectural patterns and best practices, • Develop integration solutions with third-party healthcare systems and services, • Ensure platform security, HIPAA compliance, and data privacy across all backend systems, • Support code quality through code reviews, automated testing, and comprehensive documentation, • Drive continuous improvement in our engineering practices, including deployment processes, monitoring, and incident response, • Collaborate with frontend engineers to design effective API contracts and data models, • Proven experience in backend software engineering (5+ years) with a track record of building scalable, production systems, • Deep expertise in server-side programming languages and frameworks (NodeJS/TypeScript preferred), • Strong understanding of API design principles (REST, GraphQL) and microservices architecture, • Strong database design and optimization skills (PostgreSQL, MySQL, or similar), • Solid experience developing applications on cloud platforms, ideally with AWS (EC2, RDS, Lambda, SQS, etc.), • Proficiency with containerization (Docker) and familiarity with orchestration (ECS, Kubernetes), • Understanding of infrastructure-as-code tools (AWS CDK preferred), with an emphasis on using them to support development and deployment workflows, • Comfortable with monitoring, logging, and alerting systems (Datadog, New Relic, or similar), • Experience with CI/CD pipelines and deployment automation, • Excellent problem-solving and analytical skills, with a proven ability to debug complex distributed systems, • Experience in regulated industries, especially healthcare (HIPAA compliance), • Experience with event-driven architectures and message queuing systems, • Experience with authentication/authorization systems and security best practices, • Familiarity with React/React Native for better frontend collaboration, • Equity, • 3-day hybrid in NYC, • Unlimited PTO & 11 company holidays, • Medical, dental, and vision benefits, • Health Savings Account (HSA) & Flexible Spending Account (FSA), • Long- and short-term disability coverage, • 401(k) plan, • Company-issued laptop, • Annual work-from-home and wellness stipend

Job Description Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner. Are you a Machine Learning Engineer with expertise in Google Cloud Platform (GCP) and Vertex AI? We are looking for two talented professionals to join our team in a fully remote, onshore capacity. If you thrive in building and deploying scalable AI solutions, this role is for you! What You'll Do: • Collaborate with cross-functional teams to design and deploy ML models., • Develop reusable, scalable code for AI/ML applications., • Leverage GCP services to build end-to-end machine learning pipelines. Key Requirements: • Google Cloud Platform (GCP) Experience: Strong proficiency in GCP services, including data engineering and machine learning tools., • Google Vertex AI Expertise: Hands-on experience with model training, deployment, and optimization using Vertex AI., • Model Development & Deployment: Proven ability to design, build, and productionize machine learning models., • API Development: Skilled in developing robust APIs for seamless integrations., • Python Programming with CI/CD: Experience in Python-based applications and implementing CI/CD pipelines. Why Join Us? • Work remotely while contributing to cutting-edge projects., • Collaborate with a dynamic team passionate about AI/ML innovation., • Opportunity to work with the latest Google Cloud technologies. Ready to take the next step? Apply now and be part of a team that’s shaping the future of AI! Benefits Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.

Job Description Harlem Children’s Zone (HCZ) — a world-renowned education and poverty-fighting organization based in New York — seeks an enthusiastic, dedicated, and mission aligned Systems Engineer with the Information Technology Department. The Systems Engineer will bring a passion for the mission of Harlem Children’s Zone: break the cycle of intergenerational poverty with comprehensive, on-the-ground programming that builds up opportunities for children and families to thrive in school, work, and life. The Systems Engineer will be a key member of the Infrastructure team, reporting to the Assistant Director of Infrastructure, and will play a vital role in supporting both HCZ and Promise Academy's technology ecosystem. This position is responsible for implementing, maintaining, and optimizing our multi-platform environment that includes Microsoft, Apple, and Google technologies. The Systems Engineer will work collaboratively with both the Infrastructure and IT Support Services teams to ensure seamless operation of our systems. For more information, check out Want to Work at Harlem Children’s Zone? Here’s 7 Things You Need to Know. Requirements • Bachelor's degree in Computer Science, Information Technology, or related field preferred, • 5+ years of experience in systems engineering or systems administration roles, • Strong experience with cloud platforms including AWS, Azure, and Google Cloud, • Demonstrated experience supporting and managing Microsoft and Apple ecosystems in an enterprise environment, • Experience with identity management systems, particularly Entra ID and JAMF Connect Personal Qualities • Excellent problem-solving skills with a methodical and analytical approach, • Strong communication abilities, including the capacity to explain complex technical concepts to non-technical staff, • Ability to work both independently and collaboratively in a team environment, • Excellent time management skills and ability to prioritize multiple tasks, • Commitment to continuous learning and staying current with evolving technologies, • Advanced knowledge of Windows Server, Active Directory, and Microsoft 365 administration, • Strong understanding of macOS and Apple device management using JAMF, • Experience with Chromebook administration and Google Workspace, • Familiarity with networking concepts including TCP/IP, DNS, DHCP, and VPN technologies, • Knowledge of virtualization technologies (VMware), • Understanding of security best practices, including access control, encryption, and threat mitigation, • Scripting abilities in PowerShell, Bash, Python, or other automation languages, • Experience with backup and disaster recovery solutions and practices, • Be well-versed in migrations of applications, code, and data onto cloud platforms., • Design and implement solutions for streaming data ingestion and processing. Systems and Cloud Services • Design, implement, and maintain cloud infrastructure across AWS, Azure, and Google Cloud platforms, • Manage and support Entra ID (formerly Azure AD) authentication systems, group policies, and security configurations, • Configure, maintain, and administer JAMF Connect for Mac authentication, ensuring secure and seamless user experience, • Collaborate with the Systems Administrator to maintain and optimize JAMF, Autopilot, Intune, and Google for device management across Apple, Microsoft, and Chromebook environments, • Support and troubleshoot Microsoft 365 and Google Workspace email and collaboration services, • Implement and manage VMware virtualization technologies and server infrastructure, • Monitor system performance, capacity, and availability, and proactively address potential issues, • Collaborate with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand data requirements and translate them into scalable data solutions, • Design and build data pipelines and ETL processes to extract, transform, and load data from various sources., • Develop and maintain data models and schemas within Snowflake/Redshift to support efficient querying and analysis., • Ensure data quality and integrity by implementing data validation and cleansing processes., • Design, build, and optimize data pipelines using Snowflake and cloud tools., • Implement ETL/ELT processes for data extraction and loading from various sources, including Qualtrics., • Monitor data pipeline performance and troubleshoot issues., • Create and maintain documentation., • Evaluate emerging data technologies., • Collaborate with the infrastructure team to implement and maintain security protocols, access controls, and data protection measures, • Ensure systems adhere to organizational security policies and industry best practices, • Assist in developing and implementing disaster recovery and business continuity plans, • Collaborate with the Cybersecurity Specialist to conduct regular security audits and vulnerability assessments, • Develop and implement automation solutions to streamline IT operations and reduce manual intervention, • Create and maintain system documentation, standard operating procedures, and technical guides, • Provide technical support for complex system issues that escalate from other IT teams, • Work collaboratively with the Assistant Director of Infrastructure and other IT team members to develop and implement technology solutions, • Assist in training technical staff on new systems and technologies, • Contribute to the evaluation and testing of new technologies that may benefit the organization, • Microsoft certifications, • JAMF Certified Administrator or JAMF Certified Tech, • AWS Certified Solutions Architect or equivalent Google Cloud certification Benefits As a member of the Harlem Children's Zone team, you will join a supportive and inclusive community dedicated to helping children, families — and our staff — thrive. We offer highly competitive salaries, a comprehensive benefits package, and opportunities for growth. Our exceptional full- time benefits include: • Highly competitive base salaries, • Paid time off, • Employee referral bonus, • Career advancement, • No-cost health insurance, • Life Insurance, • Short-and long-term disability, • Additional voluntary benefits, • Wellness discounts, • Commuter benefits, • Financial wellness perks

Job Description Software Engineer (Execution Focused) Strong preference for candidates based in New York City Replica provides data about the built environment and ways people interact with it. With better data, human-context and an intuitive design, Replica helps public and private sectors make informed, effective, and responsive decisions. By showing how people live, move and work, we contextualize hard choices, allowing our clients to see around corners and understand the trade-offs surrounding their decisions. Whether for a city planner increasing public transit to underserved neighborhoods or for a grocery chain evaluating where to open a new location, Replica’s insights lets clients make more informed, people-centered decisions. We spun out of Alphabet in 2019 and recently secured series B funding from venture firms including Founders Fund, Innovation Endeavors, Sidewalk Labs, Firebrand Ventures, and Revolution’s Rise of the Rest Seed Fund. Today, we are a team of 34 employees with offices in San Francisco, New York and Kansas City. We value our customers, believe in being resourceful, and work in service of each other to scale our product. As we build our team, we are committed to pursuing and bringing together a diverse workforce and creating an environment of inclusion. We value our differences and we encourage all to apply. We are committed to equal opportunity regardless of race, color, ancestry, religion, gender, gender identity, parental or pregnancy status, national origin, sexual orientation, age, citizenship, marital status, disability, Veteran status, or any other status protected by the laws or regulations in the locations where we operate. The Role We’re hiring a Software engineer to focus on developing our react-based web platform. This is a full-stack software engineering role in both front-end and back-end web application development. Responsibilities • Develop and implement functional workflows that enable customers to process and analyze complex urban data, make data-driven decisions, and efficiently manage urban planning operations, • Design, build, and maintain RESTful APIs which use spatial context to efficiently query and aggregate nationwide geospatial and temporal data., • Collaborate across teams to deeply understand users' needs, develop and evolve requirements based on user research, set delivery timelines, and implement and deploy urban data applications at nationwide scale.Work with senior engineers, designers, and product managers to define the team's technical vision and roadmap., • Drive engineering best practices to enable a robust production environment and maintain an effective development velocity., • Achieve uptime requirements and maintain API stability through remote logging and observability tools., • Participate in on-call rotation; investigate and resolve production problems as they arise.Understand the urban data science context to ensure that correct, consistent, and meaningful functionality is delivered to customers.Qualifications, • Education: Bachelor’s degree in Computer Science or equivalent practical experience., • 3+ years of experience as a full-stack engineer., • Experience in web application development using a modern JavaScript client framework., • Bonus - Experience with our tech stack which includes: React, Typescript, Node, Mapbox, Python, Pandas, Postgres, BigQuery, Kubernetes, and Google Cloud Platform., • Comfortable working in a fast-paced environment with shifting priorities, • Able to identify when something is unclear and proactively seek clarification, • We work in the service of others, • We understand that talent + diversity + curiosity + relentlessness wins, • We believe walking > talking, • We operate with thoughtful urgency, • We communicate openly and directly, • We build products people useBenefits, • Our people! We work as a team and are excited to contribute to city planning, • Competitive salary based on experience and potential for impact, • Equity at an early stage startup, • Health benefits including medical, dental, vision, and FSA options, • 401k account + employer safe harbor contribution, • Offices in San Francisco, CA, New York and Kansas City, • Replica is committed to fair and equitable compensation practices., • The base salary range for this position is $120K - $220K. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to relevant qualifications, depth of experience, skill set, certifications, training, education, and specific work location. The compensation packages may be adjusted based on the candidate’s work location, due to differences in the cost of living for the given location. Our position titles may also span multiple career levels., • Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions., • To perform this job successfully, an individual must be able to perform each essential function satisfactorily., • The requirements listed are representative of the knowledge, skill and/or ability required., • Ability to operate at both a strategic/conceptual level and at a detailed, operational level metrics driven; highly disciplined, • Must have strong interpersonal skills, maturity and good judgment and be capable of communicating with a diverse range of individuals, • A hands-on, action-oriented approach that fits well with the entrepreneurial, fast-paced culture, • Engaging leadership style that builds and sustains credibility with colleagues, clients and other stakeholders Powered by JazzHR 7njkiRsLA2

Job Description The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. Overview The responsibilities of our Platform team include building and maintaining all backend services, including, but not limited to, payments, analytics, subscriptions, new products, text to speech, and external APIs. This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, is passionate about making product decisions, and has experience building great user experiences that delight users. We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. Our interview process involves several technical interviews and we aim to complete them within 1 week. Overview We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us. What You'll Do • Be scrappy to find new sources of audio data and bring it into our ingestion pipeline, • Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform., • Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models., • BS/MS/PhD in Computer Science or a related field., • 5+ years of industry experience in software development., • Proficiency with bash/Python scripting in Linux environments, • Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP), • Experience with web crawlers, large-scale data processing workflows is a plus, • Ability to handle multiple tasks and adapt to changing priorities., • A fast-growing environment where you can help shape the company and product., • An entrepreneurial-minded team that supports risk, intuition, and hustle., • A hands-off management approach so you can focus and do your best work., • An opportunity to make a big impact in a transformative industry., • Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture., • Opportunity to work on a life-changing product that millions of people use., • Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more., • Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio. What We Offer • A dynamic environment where your contributions shape the company and its products., • A team that values innovation, intuition, and drive., • Autonomy, fostering focus and creativity., • The opportunity to have a significant impact in a revolutionary industry., • Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture., • The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more. Tell us more about yourself and why you're interested in the role when you apply. And don't forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Job Description Forhyre is looking for engineers who can bring unique perspectives and innovative ideas to all areas of development and are interested in continuing to improve our platform through the ever-changing technology landscape. To be successful in this role • You'll have the opportunity to design and implement major infrastructure components, systems, and developer-friendly capabilities to improve the availability, scalability, latency, and efficiency of our services, • You will provide technical leadership to cross-functional engineering, infrastructure, and product teams, and evangelize cloud best practices while building a culture of reliability and observability, • Engage in and improve the end to end lifecycle of software development--from inception and design, through deployment, operation and refinement of a highly distributed system running in public cloud, • Serve as subject matter expert in an SRE mindset, best practices, and cloud-native principles, • Scale systems sustainably through automation to improve reliability and velocity, • Assist with all aspects of operational security and compliance, • Run software performance analysis and system tuning, • Design and implement tools to collect data from various sources and provide actionable insights, • Participate in critical incident management and timely post-mortems of production incidents to drive practices around blameless analysis, resolution, and continuous improvement work with cross-functional teams Develop the rest of the team by conducting code reviews, providing mentorship, pairing, and training opportunities Qualification & Skills • We are looking for Principal SRE with proven experience in running distributed systems at scale, in production, • You have 15+ years of experience in relevant skills gained and developed in the same or similar role, • Strong knowledge of container orchestration, preferably Kubernetes and networking technology, • Hands-on experience in one or more languages, such as Node JS, Python, Go, Perl, Ruby, and Bash, • Experience with SOA, Microservices architecture, API Management & Enterprise system Integrations, • Strong production experience with cloud infrastructure, AWS, Azure & Google Cloud, • Strong sense of ownership, and an ability to drive tasks to completion, • Experience developing and monitoring distributed systems, • Experience working in an Agile Environment with great collaboration skills

Job DescriptionSalary: 130,000 - 160, 000 Salary + Benefits + Bonus eligible Ninth Wave Java Keycloak Developer Role Overview We are seeking a highly skilled Java Keycloak Developer to focuses on implementing and managing secure authentication and authorization systems using Keycloak, an open-source identity and access management solution, within Java-based applications. Key Responsibilities • Integrating Keycloak with Java Applications: This involves using Key Cloak's client libraries or integrating with frameworks like Spring Security to connect Java applications (e.g., Spring Boot, Jakarta EE) with Keycloak for user authentication and authorization., • Configuring Key Cloak: Setting up realms, clients, roles, users, groups, and user federations (e.g., LDAP, social logins) within the Keycloak Admin Console., • Implementing Security Features: Utilizing Key Cloak's features like single sign-on (SSO), two-factor authentication (2FA), and access control policies to secure applications., • Developing Customizations: Creating custom providers, user federation SPIs (Service Provider Interfaces), or themes to extend Key Cloak's functionality and adapt it to specific project requirements., • Managing Authorization Policies: Defining and enforcing authorization policies using Key Cloak's authorization services and the Authorization Client API in Java applications., • Troubleshooting and Debugging: Identifying and resolving issues related to Keycloak integration, authentication flows, and authorization failures within Java applications and the Keycloak server itself., • Staying Current: Keeping up to date with the latest Keycloak versions, security best practices, and relevant Java frameworks and libraries., • Java Keycloak Developer job requirements typically encompass a blend of strong Java development skills and specialized expertise in Keycloak and identity and access management (IAM) concepts. Core Java Development Skills: • Proficiency in Java/J2EE: Strong hands-on experience with Java, including core Java concepts, object-oriented programming, and potentially J2EE technologies., • Frameworks: Expertise in Java frameworks like Spring Boot, Spring, for building robust and scalable applications., • Web Services: Experience with designing and implementing RESTful APIs and microservices for communication between systems., • Design Patterns: Understanding and application of common software design patterns for creating maintainable and efficient code., • Databases: Experience with relational databases like SQL Server, Oracle or PostgreSQL, MySQL and potentially NoSQL databases., • Version Control: Proficiency with Git for source code management., • Build Tools: Experience with build tools like Maven. Keycloak and IAM Qualifications: • Bachelors degree in Computer Science, Information Technology, or a related field (or equivalent Keycloak Configuration and Customization: Extensive experience in setting up, configuring, and customizing Keycloak for enterprise-level authentication and authorization solutions. This includes understanding Keycloak APIs and potentially developing custom extensions., • Authentication and Authorization Protocols: Deep knowledge of protocols like OAuth2, OpenID Connect (OIDC), SAML, and JWT for securing applications and APIs., • Identity Management Concepts: Strong understanding of concepts like User authentication and authorization flows, RBAC (Role-Based Access Control), MFA (Multi-Factor Authentication), and identity federation., • API Security: Experience in securing RESTful APIs and microservices using Key Cloak. DevOps and Cloud Skills (often preferred but not required): • Containerization: Familiarity with Docker and Kubernetes for deploying and managing applications., • Cloud Platforms: Experience with cloud providers like AWS, Azure, or Google Cloud, including relevant services (e.g., IAM, Cognito, Lambda, API Gateway in AWS)., • CI/CD: Knowledge of CI/CD pipelines (e.g., Jenkins, Git CI/CD) for automated builds and deployments. Soft Skills: • Problem-Solving: Strong analytical and problem-solving skills to troubleshoot issues and optimize security solutions., • Communication and Collaboration: Excellent communication skills to work effectively within development teams, with security teams, and potentially with clients., • Adaptability: Ability to adapt to evolving technologies and project requirements. Requirements: • This role is hybrid/in-office and requires regular presence at our NYC headquarters, • Collaborate in-person with teams at our New York City office to drive initiatives Company Overview Ninth Wave is a permission-based SaaS platform that delivers secure data connectivity to financial institutions, offering configurable controls, visibility, and insights into all connections between aggregators, third-party apps, and internal applications. Ninth Wave empowers financial institutions, enabling secure data exchange in a holistic and scalable open finance ecosystem. Location: New York, NY If youre passionate about identity and access management and have a deep understanding of Keycloak, wed love to hear from you! Apply today to become a vital part of our team.

Job Description The Company: GEM Technologies is a Managed Services Provider that delivers personalized solutions to help local businesses make the most of their technology. At GEM Technologies, we are the New York City area’s leading experts in emerging technology implementation. We deliver comprehensive and scalable solutions that keep businesses competitive, secure, and thriving. With the threat of cyber-attacks, and consumer and business digital adoption moving forward at such a rapid pace, it has never been more critical to partner with a professional service provider who can keep up with emerging technology development. The Role: The Senior Systems Engineer is responsible for the maintenance, configuration, and reliable operation of IT infrastructure, cloud platforms and computer systems. You will participate in research and development to continuously improve and keep up with IT business needs of the organization. You will also actively identify and resolve problems within the IT infrastructure that can lead to work disruptions within the company. You will also have the opportunity to work with multiple clients, providing them with expert technical support and ensuring their systems are secure and functioning at peak performance. As a Senior Systems Engineer, you will be responsible for designing, implementing, and maintaining our Windows-based systems and infrastructure. You will work closely with our IT team to ensure the stability, security, and performance of our systems. Responsibilities: • Design, implement and maintain server and cloud-based computing solutions, • Provide expert technical support to clients, resolving any issues related to their systems, • Analyze and optimize system performance, identifying areas for improvement, • Create and maintain documentation of system configurations, procedures and troubleshooting guides, • Stay up-to-date with emerging technologies and trends in the field of systems engineering, • Experience with cybersecurity, including knowledge of firewalls and best practices for securing systems, • Experience with disaster recovery and regaining access and functionality to IT infrastructure, • While this is a remote position, some of your work will be performed onsite at client locations throughout the NYC metro area.Requirements:, • Ability to communicate effectively with organizational personnel and clients., • Customer service orientation (e.g., patience, positive customer-friendly attitude, active listening, empathy, professionalism, etc.)., • Adapt easily to rapid changes in requests, processes, and procedures., • Ability to set goals and prioritize tasks., • Uses an objective, logical, rigorous, and detail-oriented approach to work., • Resolves problems promptly, accurately and in such a way as to prevent future occurrence., • Strong ability to manage multiple responsibilities and competing priorities, constantly reprioritizing based on new information or shifting deadlines., • Maintains confidentiality and uses sound judgement when discussing technical or sensitive matters., • Strong attitude and desire to learn new technologies., • Maintain current skills and strive to acquire new technical knowledge based on current industry trends., • Highly motivated self-starter & independent worker who can produce high level results consistently with minimal supervision., • Must work well in a team environment and participate in working meetings, • Hybrid position – Based in NYC area, occasional client visits are an integral part of this role, • Must maintain a clean and presentable work environment for video calls when working from home as well as in the officeCore Technical Knowledge:, • On-Prem Exchange, • M365, • Cybersecurity Applications, • Amazon Web Services, • Microsoft Azure, • Google Cloud Platform, • Cloud Software, • Google Workspace, • PowerShell, • Manage and maintain DNS infrastructure, • VDI Administration, • MFA Administration, • MDM Solutions, • Experience with NOC software and PSAs, • Experience with router/switch implementation, • VoIP systems, • Knowledge of disaster recovery, • Scripting or programming experience, • Experience with cloud servers Education and Experience: • A bachelor’s degree in Computer Science, Information Technology, or a related field (or equivalent work experience)., • Systems administration: Proficiency in managing and maintaining computer systems., • Network protocols: Understanding of network communication protocols., • Hardware configuration: Knowledge of configuring hardware components., • Software deployment: Ability to deploy and manage software solutions., • Scripting languages: Excellent scripting skills using languages., • Security knowledge: Familiarity with system security practices., • Remote work, • Professional Development stipend, • Health Insurance Visa sponsorship for this role is currently not available.

Job DescriptionWHO WE ARE Consumer Reports is an independent, nonprofit organization dedicated to a fair and just marketplace for consumers. Our team is made up of truth tellers, change agents, and consumer advocates who investigate and build coalitions to fight for fairness and justice in the marketplace for consumers. We leverage our evidence-based approach to demand safer products, a healthier environment, and equitable services for everyone. Our mission starts with you. We offer medical benefits that start on your first day as a CR employee that include behavioral health coverage, family planning and a generous 401K match. Learn more about how CR advocates on behalf of our employees. OVERVIEW We're looking for a systems thinking, mission-oriented Software Engineer to join our Innovation Lab's Product R&D team, a fast-moving, cross-functional group focused on building AskCR. AskCR is a pro-consumer, expert-backed AI that offers advice using CR's trusted information. We are one of the only AI-powered experiences backed by over 100 human experts, and incentivized to deliver on a pro-consumer mission. In this platform-oriented role, you'll help architect and scale the core systems that make AskCR reliable, performant, and easy to evolve across web and mobile experiences. You'll also get to contribute to feature development and system health across the AskCR platform. If you love shipping production-grade software and believe AI should work for people, this role is for you. Learn more about what we're building in our Innovation Lab. This is a remote position. This position is not eligible for sponsorship. How You'll Make An Impact As a Software Engineer with a platform focus, you'll own the technical foundations that make AskCR performant across platforms. You will: • Drive end-to-end technical strategy and architecture for AskCR's web and mobile systems: making them scalable, testable, and future-proof., • Align business goals with platform decisions, collaborating closely with PMs, designers, and engineers to ship thoughtfully scoped, user-first features., • Orchestrate smooth cross-platform development cycles, ensuring clarity in planning, timelines, and release processes., • Champion best practices in CI/CD, monitoring, code quality, and developer experience across the engineering team., • Investigate and resolve complex, high-impact production issues; keeping our systems resilient and our users happy., • You've earned the degree. You have a bachelor's degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience)., • You have the experience. 5+ years of professional software engineering experience, ideally across both backend and frontend domains., • You have a deep expertise in Python, paired with strong fluency in frameworks like FastAPI, React, and/or React Native., • You have a proven track record of designing, scaling, and shipping reliable multi-platform applications in production., • You are comfortable working in CI/CD-heavy environments, with solid skills in observability, debugging, and automation., • You have prior experience working on consumer-focused AI applications or chatbots., • You have familiarity with cloud infrastructure (AWS, Azure, or Google Cloud Platform) and container orchestration technologies., • You bring a strong interest in ethical AI and responsible development FAIR PAY AND A JUST WORKPLACE At Consumer Reports, we are committed to fair, transparent pay and we strive to provide competitive, market-informed compensation informed by location, as well as the candidate's particular combination of knowledge, skills, competencies, and experience. It is expected that most qualified candidates will fall near the middle of the posted salary range. We have three locations: Yonkers, NY, Washington, DC and Colchester, CT. We are registered to do business in and can only hire from the following states and federal district: Arizona, California, Connecticut, Illinois, Maryland, Massachusetts, Michigan, New Hampshire, New Jersey, New York, Texas, Vermont, Virginia and Washington, DC. Salary ranges • NY/California:$140K-$160K annually, • DMW/Massachusetts: $135K-$155K annually, • Colchester, CT and additional approved CR locations: $115K-$135K annually Consumer Reports is an equal opportunity employer and does not discriminate in employment on the basis of actual or perceived race, color, creed, religion, age, national origin, ancestry, citizenship status, sex or gender (including pregnancy, childbirth, related medical conditions or lactation), gender identity and expression (including transgender status), sexual orientation, marital status, military service or veteran status, protected medical condition as defined by applicable state or local law, disability, genetic information, or any other basis protected by applicable federal, state or local laws. Consumer Reports will provide you with any reasonable assistance or accommodation for any part of the application and hiring process.

Job Description The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. Overview The responsibilities of our Platform team include building and maintaining all backend services, including, but not limited to, payments, analytics, subscriptions, new products, text to speech, and external APIs. This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, is passionate about making product decisions, and has experience building great user experiences that delight users. We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. Our interview process involves several technical interviews and we aim to complete them within 1 week. What You'll Do • Design, develop, and maintain robust APIs including public TTS API, internal APIs like Payment, Subscription, Auth and Consumption Tracking, ensuring they meet business and scalability requirements, • Oversee the full backend API landscape, enhancing and optimizing for performance and maintainability, • Collaborate on B2B solutions, focusing on customization and integration needs for enterprise clients, • Proven experience in backend development: TS/Node (required), • Direct experience with GCP and knowledge of AWS, Azure, or other cloud providers, • Efficiency in ideation and implementation, prioritizing tasks based on urgency and impact, • Preferred: Experience with Docker and containerized deployments, • A dynamic environment where your contributions shape the company and its products, • A team that values innovation, intuition, and drive, • Autonomy, fostering focus and creativity, • The opportunity to have a significant impact in a revolutionary industry, • Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture, • The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more Tell us more about yourself and why you're interested in the role when you apply. And don't forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Job Description Location Our Principal FinOps Resident will be part of our Customer and Product Success team within the Client Services group. This role is based remotely in the Eastern United States. Who We Are DoiT is a global technology company that works with cloud-driven organizations to leverage the cloud to drive business growth and innovation. We combine data, technology, and human expertise to ensure our customers operate in a well-architected and scalable state - from planning to production. Delivering DoiT Cloud Intelligence, the only solution that integrates advanced technology with human intelligence, we help our customers solve complex multicloud problems and drive efficiency. With decades of multicloud experience, we have specializations in Kubernetes, GenAI, CloudOps, and more. An award-winning strategic partner of AWS, Google Cloud, and Microsoft Azure, we work alongside more than 4,000 customers worldwide. The Opportunity As a DoiT Principal FinOps Resident, you will operate as a strategic advisor to our Enterprise FinOps Intelligence customers on FinOps maturity and best practices. This is a senior role in the Customer Success team at DoiT. Responsibilities • Engagement Management/FinOps Advisory: Own a portfolio of enterprise customers, providing engagement management and strategic FinOps advisory services, • Executive Stakeholder Alignment: Build and maintain executive-level relationships within the customer account, leveraging those relationships to identify business goals and objectives related to their FinOps journey, • Product Adoption: Using your knowledge of the customer's goals and objectives, educate DoiT customers on the DoiT Cloud Intelligence platform features that support their goals and drive product adoption through user awareness and proficiency, • FinOps Maturity Assessments: Assess customer FinOps maturity using the DoiT FinOps Maturity Assessment and build roadmaps to improve maturity in a "crawl, walk, run" framework, • Project/Workflow Management: Manage ongoing workstreams with customers, driving accountability within DoiT and the customer team to ensure success, • Customer Feedback: Operate as the "voice of the customer" by listening to and documenting customer feedback on the DoiT Cloud Intelligence platform and FinOps practice and sharing that feedback with the appropriate DoiT teams, • Customer Satisfaction: Own the overall customer satisfaction for your customer portfolio and resolve issues and escalations collaboratively with the DoiT team (and leadership, where needed), • Documentation: Maintain the customer 360 in our Customer Success platform, creating a referencable source of truth for the customer account and health to the rest of the business, • Customer Retention: Partner with the DoiT sales team to ensure successful renewals and client retention, • Experience driving maturity of a FinOps practice within a business, • Expertise in cloud technologies and the latest advances in cloud services, • Prior experience in a SaaS company and/or with SaaS FinOps platform solutions, • Highly skilled at executive presence and consultative advising; comfortable presenting to executives and large groups, • Excellent communication skills (written and verbal), • A desire to help define and refine the DoiT FinOps Intelligence strategic advisory offering, • FinOps Foundation FinOps Certified Professional certification, • AWS / Google Cloud / Azure Professional certifications We are home to a global team of incredible talent who work remotely and have the flexibility to have a schedule that balances your work and home life. We embrace and support leveling up your skills professionally and personally. What does being a Do'er mean? We're all about being entrepreneurial, pursuing knowledge, and having fun! Click here to learn more about our core values. Sounds too good to be true? Check out our Glassdoor Page. We thought so too, but we're here and happy we hit that 'apply' button. • Unlimited Vacation, • Flexible Working Options, • Health Insurance, • Parental Leave, • Employee Stock Option Plan, • Home Office Allowance, • Professional Development Stipend #LI-Remote

Job DescriptionAbout Stigg Stigg is revolutionizing the SaaS industry with our API-first pricing and packaging platform, empowering engineering and product teams to implement and iterate on monetization strategies seamlessly. Our solution enables developers to build granular access control at the feature level, facilitating rapid experimentation and optimization. Backed by leading investors, including Red Dot Capital Partners and Unusual Ventures, we’ve secured $17.5 million in Series A funding, bringing our total investment to $24 million. Role Overview Joining Stigg as a Solutions Engineer is a career-defining opportunity. You will be instrumental in shaping and executing how we engage with customers, bridging the gap between technical and non-technical teams. Collaborating directly with the Head of Sales, CTO, and Head of Solutions Engineering, you’ll own technical discovery, improve existing processes, and advocate for customer needs by integrating feedback into Stigg’s roadmap. In this role, you’ll primarily focus on pre-sales activities, working closely with prospective customers to showcase the value of Stigg’s platform. We will look to you as the technical subject matter expert, helping to secure wins, providing demos, completing RFIs/RFPs, leading the Proof of Value (POV) process, and partnering closely with engineering to convert customer feedback into feature requests. You’ll help grow Stigg’s playbook for technical pre-sales and solution design, helping to scale our technical sales processes and delivering unmatched customer experiences. This pivotal role offers the opportunity to make a significant impact in a fast-growing startup, working closely with innovative clients such as Miro, Webflow, and PagerDuty. Location & Work Style This is a hybrid role based in Williamsburg, NYC, right next to the Bedford Ave stop. We encourage in-office collaboration 3 days a week, but we’re flexible and understand the value of work-life balance. Responsibilities • Partner with Sales to understand prospective customers’ needs and tailor Stigg’s technical solutions to solve pain points., • Lead technical discovery sessions, translating requirements into evaluation criteria to provide structure and repeatability to the POV process., • Deliver engaging, tailored demos, including detailed API walkthroughs, live coding sessions, and technical workshops that showcase Stigg’s platform in a context-rich and hands-on manner., • Bridge teams, serving as the critical link between product, engineering, and sales, ensuring Stigg’s features and integrations align with enterprise customer architectures and workflows., • Proactively address technical objections, ensuring stakeholders feel confident about integrating Stigg into their existing systems. Technical Expertise: • 1+ years of experience in a similar role (Solutions Engineer, Sales Engineer, Forward Deployed Engineer, or Technical Consultant)., • Strong understanding of APIs, SaaS platforms, and cloud-based architectures., • Ability to distill complex technical concepts for non-technical audiences while engaging deeply with technical stakeholders., • Comfortable working closely with customers, specifically engineers, and providing support during the proof of value and implementation phases., • Passion for solving customer problems and delivering impactful solutions., • A proactive approach to understanding customer pain points and crafting innovative responses., • Excited to continuously build upon existing processes in a fast-paced, startup environment., • Hands-on experience with integrating 3rd-party SDKs and APIs in software products., • Familiar with cloud services (AWS, Google Cloud)., • Domain expertise in monetization, payments, or billing., • Preferably experience in a high-growth startup of a similar size. Career Growth Potential This role is designed for growth. As Stigg scales, you’ll have opportunities to quickly grow within Solutions Engineering or expand into strategic roles within product and customer success. If you’re excited about building a category-defining company, we’d love to hear from you. Benefits • OTE: $100,000 – $150,000 (70% base / 30% variable, based on leveling), • 401(k) with 3.5% company match (up to 4% of salary), • Top-tier health, dental, and vision coverage, • Paid time off and holidays, • One-time $500 WFH stipend, • Company laptop + gear to set you up for success, • Flexible hybrid work model (Williamsburg office, 3 days in-office recommended)

Job DescriptionAbout LILT AI is changing how the world communicates — and LILT is leading that transformation. We're on a mission to make the world's information accessible to everyone, regardless of the language they speak. We use cutting-edge AI, machine translation, and human-in-the-loop expertise to translate content faster, more accurately, and more cost-effectively without compromising on brand, voice, or quality. At LILT, we empower our teammates with leading tools, global collaboration, and growth opportunities to do their best work. Our company virtues—Work together, win together; Find a way or make one; Quicker than they expect; Quality is Job 1—guide everything we do. We are trusted by Intel Corporation, Canva, the United States Department of Defense, the United States Air Force, ASICS, and hundreds of global Enterprises. Backed by Sequoia, Intel Capital, and Redpoint, we’re building a category-defining company in a $50B+ global translation market being redefined by AI. About the Role: As a Forward Deployed Engineer at LILT, you will be a critical link between our core engineering teams and our most complex and strategic customers. You'll be on the front lines, working directly with a handful of complex clients to understand their unique needs, integrate LILT's platform into their existing workflows, troubleshoot technical challenges, and provide expert guidance. This role requires a strong technical foundation, business acumen, excellent communication and problem-solving skills, and a passion for customer success. You will thrive in a dynamic environment, embracing the opportunity to travel and work collaboratively with diverse teams. Responsibilities: * Technical Onboarding and Integration: Lead the technical aspects of onboarding new enterprise clients, including system integration, API configuration, and workflow optimization. * Solution Design and Implementation: Collaborate with Sales, Solutions Architects, and Product teams to design and implement customized LILT solutions that meet specific client requirements, driving their business outcomes. * On-Site Engineering: Ability to gather requirements, propose a product solution, and implement it via code on-site with customers. * On-site Support and Training: Provide on-site technical support and training to client teams, ensuring successful adoption and utilization of the LILT platform. * Troubleshooting and Issue Resolution: Serve as the primary technical point of contact for escalated client issues, diagnosing problems, implementing solutions, and ensuring timely resolution. * Technical Consultation and Best Practices: Provide expert technical consultation and guidance to clients on how to best leverage LILT's features and capabilities within their environment, focused on addressing complex, enterprise workflows. * Feedback Loop: Act as a crucial feedback channel, relaying client needs, technical challenges, and product improvement suggestions back to the core Engineering and Product teams. * Documentation and Knowledge Sharing: Create and maintain comprehensive technical documentation, including integration guides, best practices, and troubleshooting steps. Contribute to internal knowledge sharing initiatives. * Travel: Be willing and able to travel frequently (up to 25-35%) to client sites globally. Qualifications: * Bachelor's degree in Computer Science, Engineering, or a related technical field. * 4+ years of experience in a customer-facing technical role such as Solutions Engineer, Sales Engineer, Technical Consultant, or Support Engineer. * Strong AI knowledge including an: * Understanding of how LLMs are trained and how inference works * Understanding of batch learning, on-line learning and context windows and how to use them to improve customer value * Understanding of the trade-offs of inference speed, learnings, model sizes and costs * Current knowledge of best-in-class AI tools for a variety of workflows including adoption processes and requirements * Understanding or demonstrated experiencing using MCP to build agentic workflows * Strong business acumen and the ability to leverage this skillset to focus customers on accomplishing business outcomes aligned to their growth and efficiency objectives. * Strong understanding of software integration principles and experience working with APIs (RESTful, SOAP). * Proficiency in at least one programming or scripting language (e.g., Python, JavaScript). * Experience with enterprise software deployments and integrations. * Excellent problem-solving and analytical skills, with the ability to diagnose and resolve complex technical issues. * Exceptional communication, presentation, and interpersonal skills, with the ability to explain technical concepts to both technical and non-technical audiences. * Strong customer-centric mindset with a passion for ensuring client success. * Ability to work independently and manage multiple priorities in a fast-paced environment. * Experience with translation management systems (TMS) or localization workflows is a plus. * Familiarity with cloud platforms (e.g., AWS, Azure, GCP) is a plus. * Fluency in multiple languages is a plus. What We Offer: * Competitive salary and benefits package. * Opportunity to work with cutting-edge AI technology in a rapidly growing industry. * A dynamic and collaborative work environment. * Significant opportunities for professional growth and development. * The chance to make a real impact on global communication and business. Our Story Our founders, Spence and John met at Google working on Google Translate. As researchers at Stanford and Berkeley, they both worked on language technology to make information accessible to everyone. While together at Google, they were amazed to learn that Google Translate wasn’t used for enterprise products and services inside the company.The quality just wasn’t there. So they set out to build something better. LILT was born. LILT has been a machine learning company since its founding in 2015. At the time, machine translation didn’t meet the quality standard for enterprise translations, so LILT assembled a cutting-edge research team tasked with closing that gap. While meeting customer demand for translation services, LILT has prioritized investments in Large Language Models, human-in-the-loop systems, and now agentic AI. With AI innovation accelerating and enterprise demand growing, the next phase of LILT’s journey is just beginning. Our Tech What sets our platform apart: * Brand-aware AI that learns your voice, tone, and terminology to ensure every translation is accurate and consistent * Agentic AI workflows that automate the entire translation process from content ingestion to quality review to publishing * 100+ native integrations with systems like Adobe Experience Manager, Webflow, Salesforce, GitHub, and Google Drive to simplify content translation * Human-in-the-loop reviews via our global network of professional linguists, for high-impact content that requires expert review LILT in the News * Featured in The Software Report’s Top 100 Software Companies! * LILT makes it onto the Inc. 5000 List. * LILT’s continues to be an intellectual powerhouse, holding numerous patents that help power the most efficient and sophisticated AI and language models in the industry. * Check out all our news on our website. Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at . At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at . LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices. Compensation Range: $100K - $175K

Job DescriptionWho we are. Reality Defender is an award-winning cybersecurity company helping enterprises and governments detect deepfakes and AI-generated media. Utilizing a patented multi-model approach, Reality Defender is robust against the bleeding edge of generative platforms producing video, audio, imagery, and text media. Reality Defender's API-first deepfake detection platform empowers teams and developers alike to identify fraud, disinformation campaigns, and harmful deepfakes in real time. Backed by world class investors including DCVC, Illuminate Financial, Y Combinator, Booz Allen Hamilton, IBM, Accenture, Rackhouse, and Argon VC, Reality Defender works with leading enterprise clients, financial institutions, and governments in order to ensure AI-generated media is not used for malicious purposes. Youtube: Reality Defender Wins RSA Most Innovative Startup The Director of Alliances Role. We are seeking an experienced strategic partnerships leader to build and scale our enterprise alliance ecosystem with hyperscalers, systems integrators, and strategic consulting partners. As Director of Alliances, you’ll develop and execute partnership strategies that amplify Reality Defender’s market reach through cloud marketplaces, GSI channels, and consulting firm relationships. This role will be instrumental in establishing Reality Defender as the preferred deepfake detection solution within major enterprise ecosystems and partner networks, many of whom are also strategic investors. Responsibilities include. * Develop and execute a comprehensive alliance strategy focused on hyperscalers (AWS, Google Cloud, Microsoft Azure), GSIs (IBM, Booz Allen Hamilton, CACI), and strategic consulting partners (Accenture, Deloitte, PwC, KPMG) * Manage and expand existing partnerships while identifying and recruiting new strategic channel and reseller partners * Navigate complex partner ecosystems where alliance partners often serve dual roles as strategic investors, leveraging these relationships for mutual growth * Negotiate and structure partnership agreements, including cloud marketplace listings, reseller agreements, and co-selling arrangements * Build and manage an enterprise partner pipeline, focusing on large-scale deployment opportunities and government contracts * Collaborate cross-functionally with Sales, Marketing, Product, and Engineering teams to ensure successful partner onboarding and joint value creation * Lead joint go-to-market initiatives with hyperscaler and consulting partner sales teams, including co-selling motions and partner-led deals * Establish partner enablement programs, training materials, and success metrics specifically designed for enterprise channel partners and resellers * Represent Reality Defender at major partner summits, industry events, and executive briefing centers to strengthen strategic relationships Who you are. * 7+ years of experience in strategic partnerships, business development, or alliance management with hyperscalers, GSIs, or strategic consulting firms * Proven track record of building and scaling enterprise partner ecosystems that drive significant revenue impact through channel partnerships and reseller networks * Deep understanding of hyperscaler partnership models (AWS, Google Cloud, Azure), GSI go-to-market strategies, and consulting firm engagement patterns * Experience managing complex partner relationships where partners serve multiple roles (investor, reseller, technology integrator) * Strong relationships within enterprise partner ecosystems, particularly with cybersecurity and AI-focused practice areas * Experience negotiating enterprise partnership agreements, reseller terms, and cloud marketplace arrangements * Exceptional communication and presentation skills with the ability to influence C-level executives at Fortune 500 companies and government agencies * Strategic mindset with the ability to identify enterprise market opportunities and translate them into scalable partnership strategies * Strong project management skills with experience managing multiple complex partnerships and investor-partner relationships simultaneously * Bachelor’s degree in Business, Engineering, or related field; MBA preferred * Willingness to travel 30-40% for partner meetings, industry events, and strategic initiatives Within 1 month, you’ll… * Gain a deep understanding of Reality Defender’s technology platform, competitive landscape, and enterprise go-to-market strategy * Assess current partnerships with hyperscalers, GSIs, and consulting firms to identify optimization opportunities and expansion areas * Meet with key internal stakeholders and review existing partnership agreements and investor-partner relationships * Conduct strategic review sessions with current partners to understand joint value creation opportunities Within 3 months, you’ll… * Develop a comprehensive alliance strategy focused on hyperscaler marketplaces, GSI channels, and consulting firm partnerships * Optimize and expand existing partner relationships, converting nascent partnerships into active revenue-generating channels * Establish standardized processes for enterprise partner evaluation, onboarding, and performance management * Launch enhanced partner enablement materials tailored for enterprise sales teams and consulting practices * Initiate strategic discussions with 2-3 new target hyperscalers or tier-1 GSI partners Within 6 months, you’ll… * Activate existing partnerships to drive measurable pipeline and close 1-2 significant partnership-sourced deals * Establish a comprehensive reseller program with clear terms, training, and support structures * Launch co-selling initiatives with key hyperscaler and GSI partners, including joint customer presentations * Develop a partner advisory board, including investor-partners, to guide strategic direction * Achieve initial marketplace listings and partner-sourced pipeline representing 20-25% of total sales pipeline Within 12 months, you’ll… * Scale alliance program to include active revenue generation across multiple hyperscaler channels and 5+ strategic consulting partners * Achieve partner-influenced revenue target representing 35-40% of company bookings through reseller and alliance channels * Establish Reality Defender as a recognized leader in enterprise AI safety partnerships with tier-1 consulting firms * Build structured partner success programs that leverage investor-partner relationships for strategic market expansion * Drive significant enterprise customer acquisition through established GSI and consulting firm channels What we offer. Reality Defender offers the following benefits to all our employees, regardless of location: * Healthcare plans with 100% premium coverage for employees and partial coverage available for dependents * Dental and Vision plans with 100% premium coverage for employees and their dependents * Short/Long-term disability and life insurance plans with 100% premium coverage for employees * FSA/HSA and 401k programs * Equity compensation * 20 days of PTO per year * 12 weeks of Parental Leave * Learning and Development budget * Monthly wellness benefits * Annual company-sponsored offsite For employees working from Reality Defender’s HQ in NYC, we offer additional benefits: * Daily in-office lunch through UberEats * Commuter benefits * Remote Fridays * Happy Hours and other local events Compensation Range: $150K - $175K