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Capital One · 3 months ago

Lead Machine Learning Engineer - ML/AI

Richmond, VA

Full-time

Onsite

Senior Level, Lead/Staff

$193K/yr - $221K/yr

6+ years exp

Capital One is transforming banking through AI and machine learning technologies. In this role, you will collaborate with cross-functional teams to design and deploy AI-powered solutions that enhance risk management and deliver exceptional customer value.

BankingCredit CardsFinanceFinancial Services

Comp. & Benefits

No H1B

Responsibilities

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

Qualification

Machine LearningAI TechnologiesPythonCloud PlatformsData PipelinesAI ServicesDistributed ComputingCollaborationCommunicationProblem SolvingAdaptability

Required

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, Go, Scala, or Java

At Least 3 years of experience deploying scalable software solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)

Preferred

Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies

Experience deploying scalable AI/ML solutions in a public cloud such as AWS Bedrock, Google Cloud, Azure

Experience designing, developing, delivering, and supporting AI services at scale

Experience developing AI and ML algorithms or technologies using Python

Experience with Retrieval Augmented Generation (RAG)

Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance