Machine Learning Engineer V
Capital One Financial
Quick summary
Market check
How this pay compares to similar roles
This role pays more than 82% of similar roles. Most pay $187,850–$246,150 — the shaded band above. At the midpoint, this role pays about $246k versus about $217k for comparable roles.
Based on 240 similar postings.
Employer
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 936 open roles on FindRole.
Listed pay typically runs $197,300–$225,100 across 933 roles with salary data.
Most-posted roles
At a glance
Machine Learning Engineer 5 joins a collaborative team to design, build, and deliver machine learning models and components that solve real-world business problems. The role involves building and scaling multi-tenant platforms for large-scale model training and serving, constructing optimized data pipelines, and managing the full lifecycle of production models including retraining and monitoring. Working within an Agile framework, the engineer will develop application code, automate tests, and implement CI/CD best practices to ensure robust deployments. The position requires proficiency in Python, Scala, or Java, along with experience in PyTorch, TensorFlow, Pandas, NumPy, and Scikit-learn. Candidates must also utilize distributed systems like Spark or Ray, manage containerized software via Kubernetes, and operate within cloud environments such as AWS, GCP, or Azure to deliver scalable solutions for complex machine learning applications.
What does a Machine Learning Engineer earn in Virginia?
Median $211200 from 41 postings across 3 companies.
Skills
What you'll do
What we're looking for
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