Lead Machine Learning Engineer (Manager IC)

Lead Machine Learning Engineer (Manager IC) in Capital One's Risk Tech group, onsite in Richmond, VA, focusing on designing, deploying, and maintaining AI/ML powered risk management solutions and shaping the long term AI roadmap through cross-functional collaboration.

Responsibilities

• Partner with a cross functional team of engineers, data scientists, product managers, and designers to deliver AI driven products that transform how associates operate and deliver value to customers.
• Architect, build, validate, deploy, and maintain AI software components driven by ML models, including model evaluation, experimentation, large language model inference, similarity search, guardrails, governance, observability, and agentic AI.
• Fine tune, develop, and evaluate machine learning and foundation models.
• Join an Agile, cross functional team to create and enhance software that leverages cutting edge AI and ML capabilities.
• Provide thought leadership and technical direction for Capital One's long term AI systems roadmap.
• Utilize a broad stack of open source and SaaS AI technologies.
• Guide ML infrastructure decisions based on modeling techniques and related considerations.
• Retrain, maintain, and monitor production models.
• Build optimized data pipelines to feed ML models.
• Ensure code quality and security, govern models from a risk perspective, and adhere to Responsible and Explainable AI best practices.

Requirements

• Bachelor’s Degree
• Minimum 6 years designing and building data intensive solutions using distributed computing (internship experience does not apply)
• Minimum 4 years programming in Python, Scala, or Java
• Minimum 2 years building, scaling, and optimizing ML systems

Technologies

• Python
• Scala
• Java
• scikit-learn
• PyTorch
• Dask
• Spark
• TensorFlow
• AWS Bedrock
• Google Cloud
• Azure
• Retrieval Augmented Generation (RAG)

Benefits

• Performance-based incentive compensation (cash bonuses and long-term incentives).
• Health, financial and other benefits that support total well-being.

The ideal candidate

• You love to build systems, take pride in the quality of your work, and are motivated by solving problems that can change banking for good.
• You are a skilled communicator, able to explain complex technical concepts to non-technical partners across the business, sometimes in front of large audiences.
• You stay current with the latest research and can read scientific publications to judiciously apply novel techniques in production.
• You adapt quickly, bring clarity to big, undefined problems, ask questions, and dig deep to uncover root causes, articulating findings concisely; you share new ideas even when unproven.
• You are deeply technical with a strong foundation in engineering and mathematics, leveraging hardware, software, and AI knowledge to identify optimization opportunities others miss.
• You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unclear.
• You maintain a passion for AI research and AI systems, applying novel techniques in production with care.