Capital One · 11 hours ago
Lead Machine Learning Engineer (Gen AI, Python, Go, AWS)
San Francisco, CA
Full-time
Onsite
Senior Level, Lead/Staff
$215K/yr - $246K/yr
6+ years expCapital One is a financial services company, and they are seeking a Lead Machine Learning Engineer to join their GenAI Workflows Serving team. This role involves designing, building, and productionizing Generative AI applications while collaborating closely with multiple AI/ML teams to drive innovation in machine learning engineering.
BankingCredit CardsFinanceFinancial Services
No H1B
Responsibilities
Design, build, and deliver GenAI models and components that solve complex business problems, while working in collaboration with the Product and Data Science teams
Design and implement cloud-native ML Serving Platforms leveraging technologies like Docker, Kubernetes, KNative, and KServe to ensure optimized and scalable deployment of models
Solve complex scaling and high-availability problems by writing and testing performant application code in Python and Go-lang, developing and validating ML models, and automating tests and deployment
Implement advanced MLOps and GitOps practices for continuous integration and continuous deployment (CI/CD) using tools like ArgoCD to manage the entire lifecycle of models and applications
Leverage service mesh architectures like Istio to manage traffic, enhance security, and ensure resilience for high-volume serving endpoints
Retrain, maintain, and monitor models in production
Construct optimized, scalable data pipelines to feed ML models
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, Go, Scala or Java
Qualification
Required
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, Go or Java
At least 2 years of experience building, scaling, and optimizing ML systems
Preferred
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
A comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being
Company
Capital One
Capital One is a financial services company that provides banking, credit card, auto loan, savings, and commercial banking services.
10001+ employees
Funding
Current Stage
Public CompanyTotal Funding
$5.45BKey Investors
Berkshire Hathaway
2025-09-11Post Ipo Debt· $2.75B
2025-01-30Post Ipo Debt· $1.75B
2023-05-15Post Ipo Equity· $954M
Leadership Team
Lo Li
CTO, Managing Vice President Retail Bank
Daniel Arellano
Senior Vice President, Business Cards and Payments
Recent News
2026-01-13
2026-01-13
Yahoo Finance
2026-01-13
Company data provided by crunchbase