Lead Machine Learning Engineer, Manager IC

Capital One Financial

Quick summary

Work type: On-site
Location: McLean, VACambridge, MARichmond, VA
Salary: $197,300–$225,100 / yr
Posted: 3 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $217k

This role $211k

$162k most similar roles pay here $273k

This role pays less than 56% of similar roles. Most pay $183,665–$249,750 — the shaded band above. At the midpoint, this role pays about $211k versus about $217k for comparable roles.

Based on 240 similar postings.

Employer

About Capital One Financial

Capital One Financial is a bank holding company specializing in credit cards, auto loans, banking, and savings products, known for its data-driven approach to consumer and commercial finance. Industry: Financial Services & Banking

Capital One Financial currently has 718 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 711 roles with salary data.

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View all roles at Capital One Financial

At a glance

TL;DR · Lead Machine Learning Engineer, Manager IC

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As a Lead Machine Learning Engineer at Capital One’s Risk Tech division, you will lead the GRC team in developing and deploying advanced AI solutions to manage risk and enhance customer value. Your day-to-day involves collaborating with cross-functional teams to design, develop, test, and deploy machine learning models using Python and state-of-the-art AI technologies, including large language model inference and similarity search. You will also contribute to the long-term technical vision for pioneering AI systems at Capital One, leveraging a broad stack of open-source and SaaS tools while ensuring robust ML infrastructure decisions. This role requires deep technical expertise in machine learning, a passion for staying current with AI research, and strong communication skills to explain complex concepts to non-technical stakeholders.

Skills

Python AWS Google Cloud Azure Retrieval Augmented Generation RAG Machine Learning AI Agile CI/CD Open Source SaaS Kubernetes Terraform PostgreSQL Docker Prometheus Grafana

What you'll do

Design and develop AI software components using machine learning models.
Fine-tune and evaluate machine learning and foundation models continuously.
Contribute to the long-term technical vision of AI systems at Capital One.
Deploy scalable AI/ML solutions in public cloud environments like AWS Bedrock.
Inform ML infrastructure decisions based on understanding of modeling techniques.
Collaborate with cross-functional teams to deliver innovative AI-powered products.

What we're looking for

7+ years of experience designing and delivering AI services at scale.
Deep technical expertise in developing AI/ML algorithms using Python.
Experience with Retrieval Augmented Generation (RAG) technologies.
Proven ability to deploy scalable AI/ML solutions on public clouds like AWS, Google Cloud, or Azure.
Strong communication skills for explaining complex technical concepts to non-technical stakeholders.
Passionate about staying current with the latest AI research and applying novel techniques in production.

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