Machine Learning Engineer V
Capital One Financial
Quick summary
Market check
How this pay compares to similar roles
This role pays more than 81% of similar roles. Most pay $189,750–$246,150 — the shaded band above. At the midpoint, this role pays about $246k versus about $218k 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 1756 open roles on FindRole.
Listed pay typically runs $197,300–$225,100 across 961 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 constructing optimized data pipelines, managing multi-tenant platforms for large-scale model training and serving, and ensuring models are governed through responsible and explainable AI practices. The candidate will develop application code, automate tests, and manage infrastructure using cloud-based architectures. Technical requirements include proficiency in Python, Scala, or Java; experience with PyTorch, TensorFlow, Pandas, NumPy, and Scikit-learn; and expertise in distributed systems like Spark and Ray. Additionally, the role requires deploying models via Kubernetes on AWS, GCP, or Azure while utilizing CI/CD best practices to maintain high-performing, large-scale machine learning software systems.
What does a Machine Learning Engineer earn?
Median $230800 from 335 postings across 52 companies.
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What you'll do
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