This role pays more than
90%
of similar roles. Most pay
$192,050–$246,150
— the shaded band above.
At the midpoint, this role pays about
$268k
versus about
$219k
for comparable roles.
Based on 240 similar postings.
Employer
About Capital One Financial
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.
Sr. Lead, Machine Learning Engineer (Enterprise Platforms Technology) joins an Agile team focused on productionizing machine learning applications and systems at scale within the Enterprise Platforms Technology group. This role involves technical design, developing and reviewing model code, and ensuring high availability for machine learning applications. The engineer will build data pipelines, manage model retraining and monitoring, and develop cloud-based architectures to deliver optimized models. Key responsibilities include solving complex problems through automated testing and deployment while ensuring models follow Responsible and Explainable AI practices. Candidates should possess expertise in Python, Scala, or Java, along with experience in frameworks like scikit-learn, PyTorch, Dask, Spark, or TensorFlow. The role addresses the challenge of building robust infrastructure for big data and machine learning applications while managing technical risks and ensuring high performance across enterprise platforms.