Lead Machine Learning Engineer (Manager IC)

Capital One Financial

Quick summary

Work type: On-site
Location: Cambridge, MAMcLean, VARichmond, VA
Salary: $197,300–$225,100 / yr
Posted: 8 days ago
Closes: Aug 3, 2026
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $223k

This role $211k

$171k most similar roles pay here $272k

This role pays less than 55% of similar roles. Most pay $197,193–$249,750 — the shaded band above. At the midpoint, this role pays about $211k versus about $223k 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 814 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 809 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 team, you will collaborate with cross-functional teams to develop and deploy AI-powered solutions that enhance risk management. Your daily tasks include designing, testing, and deploying machine learning models, fine-tuning foundation models, and contributing to the long-term technical vision for AI systems. You will leverage a broad stack of open-source and SaaS technologies while ensuring your work aligns with business needs and delivers significant customer value. Ideal candidates are deeply technical, passionate about AI research, and skilled in Python and cloud-based deployments like AWS Bedrock or Google Cloud. With 7+ years of experience in scaling AI services, you will bring strategic thinking to the table, fostering collaboration across engineering, product, and data science teams while maintaining a focus on business impact and continuous learning.

Skills

Python AWS Google Cloud Azure Kubernetes Terraform Docker CI/CD Prometheus Grafana RAG PostgreSQL MLOps Agile Git Jupyter Notebook TensorFlow PyTorch

What you'll do

Design and develop AI software components using machine learning models.
Evaluate and fine-tune machine learning and foundation models for deployment.
Contribute to the long-term technical vision for AI systems at Capital One.
Collaborate on cross-functional Agile teams to create data-driven risk management tools.
Inform ML infrastructure decisions based on understanding of modeling techniques.

What we're looking for

7+ years of experience designing and delivering AI services at scale.
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 technical foundation in engineering and mathematics.
Ability to communicate complex technical concepts clearly to non-technical stakeholders.
Passion for staying current with the latest AI research and applying novel techniques judiciously.

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