Lead Machine Learning Engineer (Manager IC)

Capital One Risk Tech seeks a Lead Machine Learning Engineer (Manager IC) to architect, deploy, and sustain AI and ML components and the supporting infrastructure that underpin risk management and AI-enabled products.

Responsibilities

• Collaborate with a cross-functional team of engineers, data scientists, product managers, and designers to deliver AI powered products that transform how our associates work and deliver value to customers.
• Design, develop, test, deploy, and support AI software components that utilize machine learning 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.
• Work as part of an Agile, cross‑functional team to create and enhance software that leverages state of the art AI and ML capabilities.
• Provide thought leadership and technical vision for the long term roadmap of pioneering AI systems at Capital One.
• Leverage a broad mix of Open Source and SaaS AI technologies.
• Inform ML infrastructure decisions through an understanding of modeling techniques and related challenges.
• Retrain, maintain, and monitor models in production.
• Construct optimized data pipelines to feed ML models.
• Ensure code is well managed to minimize vulnerabilities, ensure model governance from a risk perspective, and apply Responsible and Explainable AI best practices.

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

Benefits

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

The ideal candidate

• You enjoy building systems, take pride in code quality, and are motivated to do the right thing while tackling problems that can transform banking for good
• You communicate clearly and confidently explain complex technical concepts to non-technical partners, including presentations to 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 large, undefined problems, ask questions, and distill findings concisely; you share new ideas even if unproven
• You are deeply technical, with a strong engineering and mathematical foundation, and you leverage hardware, software, and AI expertise to uncover optimization opportunities
• You are a resilient trailblazer who can forge new paths to meet business goals when the route is unclear
• You maintain passion for staying at the forefront of AI research and systems, applying novel approaches in production judiciously