Foundation Models Developer Jobs

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10d ago

Lead Machine Learning Engineer (Manager IC)

Capital One Richmond, VA

Richmond, VA

10d ago

Full time Manager Agentic Ai Ai Ml

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Job Description

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.

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