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 perform critical engineering activities including designing, building, and delivering ML models that solve real-world business problems while collaborating with Product and Data Science teams. Your daily responsibilities involve developing and validating model code, constructing optimized data pipelines, and ensuring high availability through automated testing and deployment. You will manage the full lifecycle of machine learning by retraining, monitoring, and governing models for risk and explainability. The role requires proficiency in Python, Scala, or Java, along with experience in distributed computing and cloud-based architectures. You will utilize tools such as scikit-learn, PyTorch, Dask, Spark, Kubeflow, or TensorFlow to build robust systems that support state-of-the-art big data applications.