Sr. Lead Machine Learning Engineer

Capital One Financial

Quick summary

Work type: On-site
Location: McLean, VA
Salary: $229,900–$262,400 / yr
Posted: 5 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $222k

This role $246k

$170k most similar roles pay here $276k

This role pays more than 68% of similar roles. Most pay $195,000–$249,753 — the shaded band above. At the midpoint, this role pays about $246k versus about $222k 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.

Most-posted roles

View all roles at Capital One Financial

At a glance

TL;DR · Sr. Lead Machine Learning Engineer

Apply Now Log in to save

As a Senior Software Engineer on our dynamic and innovative team, you will play a pivotal role in developing cutting-edge solutions for our scalable cloud-based service platform. Your day-to-day responsibilities include designing robust software architectures, implementing complex features, and collaborating with cross-functional teams to deliver high-quality products. You will work extensively with modern technologies such as Kubernetes, Docker, and microservices architecture, leveraging programming languages like Python and Go. With a focus on optimizing performance and ensuring security, you will contribute to solving intricate business challenges in the cloud computing domain, where scalability and reliability are paramount.

Skills

Java Spring Boot React AWS Docker Kubernetes CI/CD SQL PostgreSQL Git Jenkins Linux RESTful APIs Maven Swagger

What you'll do

Develop and maintain software applications using modern programming languages.
Analyze user requirements to design efficient and scalable solutions.
Conduct code reviews to ensure quality and adherence to coding standards.
Implement database management systems and optimize query performance.
Troubleshoot and resolve complex technical issues in production environments.

What we're looking for

Bachelor’s Degree required
At least 5 years of relevant professional experience
Strong analytical and problem-solving skills
Proficiency in statistical software and data analysis tools
Experience with COPSSC certification preferred
Excellent communication and collaboration abilities
Demonstrated success in delivering high-quality projects

Save