Lead Machine Learning Engineer (Manager IC)

About the role

The Lead Machine Learning Engineer (Manager IC) role at Capital One is a strategic position focused on driving innovation in AI and ML to transform risk management and customer experiences. This role involves working closely with various teams to design, develop, and deploy AI-powered solutions that enhance operational efficiency and customer satisfaction.

Responsibilities

• Partner with cross-functional teams to deliver AI-powered products that improve workflows and customer value.
• Design, develop, test, deploy, and support AI software components, including model evaluation and experimentation, large language model inference, similarity search, guardrails, governance, observability, and agentic AI.
• Fine-tune, develop, and evaluate machine learning and foundation models.
• Collaborate with Agile teams to create and enhance software that leverages state-of-the-art AI and ML capabilities.
• Contribute to the development of the long-term roadmap for pioneering AI systems at Capital One.
• Leverage a broad stack of open-source and SaaS AI technologies.
• Inform ML infrastructure decisions using understanding of ML modeling techniques and issues.
• Retrain, maintain, and monitor models in production.
• Construct optimized 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.

Qualifications

• Bachelor’s Degree
• At least 6 years of experience designing and building data-intensive solutions using distributed computing
• At least 4 years of experience programming with Python, Scala, or Java
• At least 2 years of experience building, scaling, and optimizing ML systems
• Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field (preferred)
• 7+ years of experience designing, developing, delivering, and supporting AI services at scale
• 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 with Retrieval-Augmented Generation (RAG)
• 2+ years of experience with data gathering and preparation for ML models
• 2+ years of people-leader experience
• 2+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation
• Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance
• Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion
• Experience deploying scalable AI/ML solutions in a public cloud such as AWS Bedrock, Google Cloud, Azure

Benefits

Capital One offers a comprehensive, competitive, and inclusive set of health, financial, and other benefits designed to support your total well-being. The company is committed to non-discrimination in compliance with applicable federal, state, and local laws.