Lead Machine Learning Engineer (Gen AI, Python, Go, AWS)
Not Disclosed•Full-TimeOn-site
location_onNYU Paulson Center, 181, Mercer Street, University Village, Manhattan, New York County, New York, 10012, United States
About the Team
As a Capital One Machine Learning Engineer on the GenAI Workflows Serving team, you will join an Agile group dedicated to designing, building, and productionizing Generative AI applications and Agentic Workflow systems at massive scale. Our mission is to drive innovation by collaborating closely with multiple AI/ML teams to continuously apply the latest best practices in machine learning engineering.
About the Role
This role is designed for a Machine Learning Engineer with a strong background as a Software Engineer. You will bridge the gap between Ops, Modeling, and Data Engineering to deliver complex solutions. Your day-to-day involves participating in detailed technical design, development, and implementation of cloud-native platforms. You will focus on building robust ML serving architectures, developing high-performance application code, and ensuring the high availability, security, and low latency of our Generative AI solutions.
You will work in a collaborative environment where you design and implement cloud-native ML Serving Platforms, solve complex scaling problems, and implement advanced MLOps and GitOps practices. A key part of your responsibility is ensuring that all code is well-managed to reduce vulnerabilities and that models are governed from a risk perspective, adhering to best practices in Responsible and Explainable AI.
Hiring Process
Candidates are expected to submit applications for a minimum of 5 business days. Please note that no agencies will be accepted for this position. For technical support or questions regarding the recruiting process, please contact Careers@capitalone.com. If you require an accommodation during the application or interview process, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com.
Equal Opportunity & Culture
Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. We promote a drug-free workplace and consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws.
Immigration Notice: At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position.
Work location
Work model: On-site
NYU Paulson Center, 181, Mercer Street, University Village, Manhattan, New York County, New York, 10012, United States
New York, New York
Key Responsibilities
- check_circleDesign, build, and deliver GenAI models and components to solve complex business problems
- check_circleDesign and implement cloud-native ML Serving Platforms using Docker, Kubernetes, and KServe
- check_circleImplement MLOps and GitOps practices for continuous integration and deployment using ArgoCD
- check_circleLeverage service mesh architectures like Istio to manage traffic and ensure security for serving endpoints
- check_circleConstruct optimized and scalable data pipelines to feed ML models
- check_circleRetrain, maintain, and monitor models in production environments
- check_circleWrite and test performant application code in Python and Go to solve scaling and high-availability issues
- check_circleEnsure code management, model governance, and adherence to Responsible AI best practices
Requirements
- verifiedBachelor's Degree
- verified6+ years experience designing data-intensive solutions using distributed computing
- verified4+ years experience programming with Python, Scala, Go, or Java
- verified2+ years experience building, scaling, and optimizing ML systems
- verifiedUS work authorization (no sponsorship provided)
Nice to Have
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.
Benefits & Perks
check_circlePerformance-based incentive compensation including cash bonuses and/or long term incentives
Similar Job Opportunities
Skills, education and keywords
Skills: Machine Learning, Generative Ai, Python, Go, Aws, Docker, Kubernetes, Knative, Kserve, Argo CD.
Education: Bachelor's Degree required; Master's or Doctoral Degree in computer science preferred.
Frequently asked questions about Lead Machine Learning Engineer (Gen AI, Python, Go, AWS) at Capital One
What does a Lead Machine Learning Engineer (Gen AI, Python, Go, AWS) at Capital One do?expand_more
Day-to-day, the Lead Machine Learning Engineer (Gen AI, Python, Go, AWS) at Capital One will design, build, and deliver genai models and components to solve complex business problems; design and implement cloud-native ml serving platforms using docker, kubernetes, and kserve; implement mlops and gitops practices for continuous integration and deployment using argocd; and leverage service mesh architectures like istio to manage traffic and ensure security for serving endpoints.
What are the requirements for this Lead Machine Learning Engineer (Gen AI, Python, Go, AWS) role?expand_more
Capital One is looking for candidates who meet the following requirements: Bachelor's Degree; 6+ years experience designing data-intensive solutions using distributed computing; 4+ years experience programming with Python, Scala, Go, or Java; 2+ years experience building, scaling, and optimizing ML systems; and US work authorization (no sponsorship provided).
Where is the Lead Machine Learning Engineer (Gen AI, Python, Go, AWS) role at Capital One located?expand_more
Lead Machine Learning Engineer (Gen AI, Python, Go, AWS) at Capital One is based in NYU Paulson Center, 181, Mercer Street, University Village, Manhattan, New York County, New York, 10012, United States. This is a on-site role.
Is this Lead Machine Learning Engineer (Gen AI, Python, Go, AWS) job remote, hybrid, or on-site?expand_more
Capital One has listed this Lead Machine Learning Engineer (Gen AI, Python, Go, AWS) role as on-site.
How much experience is required for this Lead Machine Learning Engineer (Gen AI, Python, Go, AWS) role?expand_more
Lead Machine Learning Engineer (Gen AI, Python, Go, AWS) at Capital One typically requires 6+ years of relevant experience at the lead level.
What skills do you need for the Lead Machine Learning Engineer (Gen AI, Python, Go, AWS) role at Capital One?expand_more
Key skills for Lead Machine Learning Engineer (Gen AI, Python, Go, AWS) at Capital One include Machine Learning; Generative Ai; Python; Go; Aws; Docker; Kubernetes; and Knative.
What education is required for Lead Machine Learning Engineer (Gen AI, Python, Go, AWS) at Capital One?expand_more
Educational requirements for this role: Bachelor's Degree required; and Master's or Doctoral Degree in computer science preferred.
What category does the Lead Machine Learning Engineer (Gen AI, Python, Go, AWS) role belong to?expand_more
Lead Machine Learning Engineer (Gen AI, Python, Go, AWS) at Capital One is part of the it job category on Recrutus.