Sr. Lead Machine Learning Engineer

Capital One Financial

Quick summary

Work type: On-site
Location: New York, NYSan Francisco, CAMcLean, VACambridge, MASan Jose, CA
Salary: $229,900–$262,400 / yr
Posted: 3 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $222k

This role $246k

$169k most similar roles pay here $276k

This role pays more than 68% of similar roles. Most pay $195,000–$249,753 — the shaded band above. At the midpoint, this role pays about $246k versus about $222k 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 814 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 809 roles with salary data.

Most-posted roles

View all roles at Capital One Financial

At a glance

TL;DR · Sr. Lead Machine Learning Engineer

Apply Now Log in to save

The Senior Lead Machine Learning Engineer role is part of a dynamic and innovative team focused on developing cutting-edge solutions in the field of machine learning. This position involves leading the design and implementation of advanced ML models to solve complex business problems, working closely with cross-functional teams to integrate these models into scalable production systems. Day-to-day responsibilities include mentoring junior engineers, conducting research to improve model accuracy and efficiency, and deploying robust pipelines using Kubernetes and cloud services. The ideal candidate has extensive experience with industry-standard frameworks like PyTorch, TensorFlow, or Dask, along with a strong background in Python and data science methodologies. This role requires expertise in handling large datasets and optimizing machine learning workflows for high performance and reliability.

Skills

scikit-learn PyTorch Dask Spark Kubeflow TensorFlow Python CI/CD

What you'll do

Design and implement machine learning models using industry-standard frameworks.
Optimize existing ML systems to improve performance and scalability.
Conduct data analysis to identify patterns and insights for model training.
Develop automated pipelines for data preprocessing and feature engineering.
Mentor junior engineers in best practices for machine learning development.

What we're looking for

Bachelor’s Degree required.
4+ years of experience with industry-recognized ML frameworks (e.g., scikit-learn, PyTorch, TensorFlow).
Strong background in machine learning and data science.
Experience leading or contributing to complex ML projects.
Proficiency in at least one programming language relevant to ML (Python, R).

Save