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 drive major AI transformations and scale production models. This role involves designing, building, and delivering machine learning components that solve real-world business problems while collaborating with Product and Data Science teams. Responsibilities include developing multi-tenant platforms for large-scale model training and serving, constructing optimized data pipelines, and managing the full lifecycle of model retraining, monitoring, and governance. The candidate will work within an Agile framework to build software for big data applications using Python, Scala, or Java. Technical requirements include experience with PyTorch, TensorFlow, Pandas, NumPy, Scikit-learn, Spark, Ray, and Kubernetes across cloud environments like AWS, GCP, or Azure. The role focuses on solving complex business problems by implementing advanced algorithms, ensuring responsible AI practices, and automating deployment through CI/CD pipelines to manage large-scale distributed systems.
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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