Machine Learning Engineer IV
Capital One Financial
Quick summary
Market check
How this pay compares to similar roles
This role pays less than 70% of similar roles. Most pay $192,050–$241,750 — the shaded band above. At the midpoint, this role pays about $192k 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 836 open roles on FindRole.
Listed pay typically runs $197,300–$225,100 across 829 roles with salary data.
Most-posted roles
At a glance
Machine Learning Engineer 4 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. Daily responsibilities include writing and testing application code, automating deployments, constructing optimized data pipelines, and monitoring models in production. The engineer will manage infrastructure decisions regarding model selection, feature engineering, and hyperparameter tuning while ensuring responsible and explainable AI practices. Technical requirements include proficiency in Python, Scala, or Java; experience with PyTorch, TensorFlow, Pandas, NumPy, and Scikit-learn; and operation of large-scale distributed systems like Spark and Ray. The role also requires expertise in cloud platforms such as AWS, GCP, or Azure, along with Kubernetes for managing containerized software across the enterprise.
What does a Machine Learning Engineer earn?
Median $233875 from 314 postings across 50 companies.
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What you'll do
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