Lead Machine Learning Engineer (Manager IC)

• Partner 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.

• You love to build systems take pride in the quality of your work and also share our passion to do the right thing. You want to work on problems that will help change banking for good.
• You are a passionate communicator comfortable with explaining complex technical concepts to non-technical partners across the business sometimes in front of large audiences.
• Passion for staying abreast of the latest research and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production.
• You adapt quickly and thrive on bringing clarity to big undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven.
• You are deeply Technical. You possess a strong foundation in engineering and mathematics and your expertise in hardware software and AI enable you to see and exploit optimization opportunities that others miss.
• You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown.
• Passion for staying abreast of the latest AI research and AI systems and judiciously applying novel techniques in production

• 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

• Master's or Doctoral Degree in computer science electrical engineering mathematics or a similar field
• 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
• 3+ years of experience developing AI and ML algorithms or technologies using Python
• 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
• 1+ 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
• Experience designing implementing and scaling complex data pipelines for ML models and evaluating their performance

What We Do

At Capital One we think and work like a tech company using our digital fluency to transform everything about the customer experience. We’re bending data to our will and turning a stodgy industry on its head. That’s reflected in our ranking as the number one business technology innovator in the U.S. in the 2016 InformationWeek Elite 100.

Why Work With Us

Here’s another question: What are you looking for? A place where curiosity is the starting point? Where data leads to human insights? Where humanity drives product development? We’re bringing breakthrough products and services to consumers small businesses and commercial clients. And each new idea makes life better for millions of people.

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