Lead Machine Learning Engineer
Capital One Financial
Quick summary
Market check
How this pay compares to similar roles
This role pays less than 60% of similar roles. Most pay $195,787–$254,500 — the shaded band above. At the midpoint, this role pays about $211k versus about $225k 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 998 open roles on FindRole.
Listed pay typically runs $197,300–$225,100 across 992 roles with salary data.
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At a glance
Lead Machine Learning Engineer - Intelligent Foundations and Experiences (IFX) joins an Agile team focused on productionizing machine learning applications and systems at scale. This role involves technical design, developing model and application code, and ensuring high availability for machine learning products. The engineer will build and deliver models to solve real-world business problems, construct optimized data pipelines, and manage the retraining and monitoring of models in production. Key responsibilities include implementing continuous integration and deployment best practices while ensuring responsible and explainable AI. The role requires proficiency in Python, Scala, or Java, along with experience using frameworks like scikit-learn, PyTorch, Dask, Spark, or TensorFlow. Candidates will work on cloud-based architectures to deliver optimized models, utilizing distributed computing to solve complex problems within the machine learning infrastructure and data engineering domains.
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