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

$169k 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

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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 platform. Your daily responsibilities include designing robust software systems, collaborating with cross-functional teams to implement new features, and ensuring high-quality code through rigorous testing and deployment processes. We are looking for someone proficient in Java, Python, and JavaScript, with experience in microservices architecture and containerization technologies like Docker and Kubernetes. Additionally, familiarity with cloud services such as AWS or Azure is essential. This role involves tackling complex business challenges related to data processing and analytics at scale, making it ideal for a candidate passionate about pushing the boundaries of technology.

Skills

Java Spring Boot React AWS Docker Kubernetes CI/CD PostgreSQL Redis Maven Git Jenkins Swagger JUnit

What you'll do

Develop and implement advanced statistical models for predictive analytics.
Analyze large datasets to identify trends and patterns using machine learning techniques.
Collaborate with cross-functional teams to integrate statistical insights into business strategies.
Conduct experiments and A/B testing to evaluate the effectiveness of new initiatives.
Communicate complex analytical findings through clear, concise reports and presentations.

What we're looking for

Bachelor’s Degree required
Minimum of 5 years experience in software development or related field
Proficiency in multiple programming languages and frameworks
Strong problem-solving skills with a focus on innovation
Experience working in an agile development environment
Knowledge of industry-standard security practices and compliance regulations

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