Lead Machine Learning Engineer
Capital One Financial
Quick summary
Market check
How this pay compares to similar roles
This role pays less than 53% of similar roles. Most pay $194,125–$246,150 — the shaded band above. At the midpoint, this role pays about $211k versus about $220k 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 (Python, GoLang, AWS) joins an Agile team focused on productionizing machine learning applications and systems at scale. This role involves technical design, development, and implementation of machine learning architectures while ensuring high availability and performance for all models. The engineer will build and deliver ML components to solve real-world business problems, construct optimized data pipelines, and manage model retraining, monitoring, and governance regarding Responsible and Explainable AI. Day-to-day tasks include writing and testing application code, automating deployments through CI/CD best practices, and collaborating with cross-functional teams to enhance big data applications. The role requires proficiency in Python, GoLang, Scala, or Java, along with experience in distributed computing and cloud-based architectures. The work centers on solving complex technical problems by integrating machine learning modeling techniques into robust, scalable production environments.
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