Lead Machine Learning Engineer (Manager IC)

Benefits

Capital One offers a competitive rewards package and a focus on total well-being, including incentives and benefits that support your career and life goals.

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

Location: Richmond, VA, onsite.

Responsibilities

• Collaborate with a cross-functional team of engineers, data scientists, product managers, and designers to deliver AI powered products that change how our associates work and provide value to our customers.
• Design, develop, test, deploy, and support AI software components utilizing machine learning models, 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 as part of a cross-functional Agile team to create and enhance software that utilizes state-of-the-art AI and ML capabilities.
• Contribute thought leadership and technical vision to the long term roadmap of pioneering AI systems at Capital One.
• Leverage a broad stack of Open Source and SaaS AI technologies.
• Inform your ML infrastructure decisions using your 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.

Requirements

• 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, or Java
• At least 2 years of experience 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)

The ideal candidate

• You love to build systems, take pride in the quality of your work, and are motivated to make banking better.
• You are a skilled communicator, comfortable explaining complex technical concepts to non-technical partners across the business, sometimes in front of large audiences.
• You stay current with AI research and can interpret scientific publications to judiciously apply novel techniques in production.
• You adapt quickly, bring clarity to big, undefined problems, ask questions, dig deep, and articulate findings concisely with the courage to share new ideas, even if unproven.
• You are deeply technical, with a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to spot optimization opportunities others miss.
• You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown.
• You maintain a passion for AI research and AI systems, and apply novel techniques in production with care.