This role pays more than
68%
of similar roles. Most pay
$195,112–$254,750
— the shaded band above.
At the midpoint, this role pays about
$246k
versus about
$225k
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.
As a Sr. Lead Machine Learning Engineer, you will join an Agile team dedicated to productionizing machine learning applications and systems at scale. You will be responsible for the technical design, development, and implementation of machine learning architectures while ensuring high availability and performance. Your daily work involves building and delivering models that solve real-world business problems, constructing optimized data pipelines, and managing model retraining and monitoring in production environments. To succeed, you must utilize programming languages such as Python, Scala, or Java, along with frameworks like scikit-learn, PyTorch, Dask, Spark, or TensorFlow. You will also leverage cloud-based platforms to deliver scalable solutions while ensuring all code follows best practices for Responsible and Explainable AI. This role focuses on the technical challenge of integrating big data and machine learning into robust, production-ready software systems.