Capital One · 1 hour ago
Senior Lead Machine Learning Engineer
Capital One is an industry leader in using machine learning to create real-time, personalized customer experiences. In this role, you will design, build, and deliver ML models and components that solve real-world business problems while collaborating with a cross-functional team.
Financial Services
Responsibilities
Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with a cross-functional team of engineers, research scientists, technical program managers, and product managers
Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more
Construct optimized data pipelines to feed ML models
Design, develop, test, deploy, and support AI software components including large language model inference, similarity search, model evaluation, experimentation, governance, and observability, etc
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
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
Qualification
Required
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
Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field
Experience developing, delivering, and supporting 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 with data gathering and preparation for ML models
ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents
Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory)
Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost
Ability to communicate complex technical concepts clearly to a variety of audiences
Benefits
Performance based incentive compensation
Cash bonus(es)
Long term incentives (LTI)
Comprehensive, competitive, and inclusive set of health, financial and other benefits
Company
Capital One
Capital One is a financial services company that provides banking, credit card, auto loan, savings, and commercial banking services.
H1B Sponsorship
Capital One has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (723)
2024 (488)
2023 (545)
2022 (909)
2021 (672)
2020 (944)
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
Recent News
2026-01-25
2026-01-25
2026-01-25
Company data provided by crunchbase