Senior Lead Machine Learning Engineer

Capital One Financial

Quick summary

Work type
On-site
Location
McLean, VA · New York, NY
Salary
$229,900–$262,400 / yr
Posted
23 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $216k
This role $246k
$162k most similar roles pay here $273k

This role pays more than 75% of similar roles. Most pay $185,125–$246,150 — the shaded band above. At the midpoint, this role pays about $246k versus about $216k for comparable roles.

Based on 239 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 498 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 495 roles with salary data.

Most-posted roles

View all roles at Capital One Financial

At a glance

TL;DR · Senior Lead Machine Learning Engineer

As a Senior Lead Machine Learning Engineer at our New York office, you will join a dynamic team responsible for advancing our cutting-edge AI solutions. Your primary responsibilities include leading the development of scalable and efficient machine learning models using frameworks like PyTorch or TensorFlow, ensuring they meet high performance standards. You will oversee data gathering and preparation processes to optimize model training, while also managing a team of engineers to deliver robust codebases that solve complex business problems. Essential skills for this role include extensive experience with ML frameworks, strong coding abilities in Python or similar languages, and proven leadership in software development projects. This position offers the opportunity to work on large-scale datasets and contribute to innovative solutions within our fast-growing tech company.

What you'll do

  • Develop performant, resilient, and maintainable machine learning code using industry frameworks.
  • Gather and prepare data for training ML models efficiently and accurately.
  • Manage a team of engineers to ensure project goals are met on time.
  • Mentor junior engineers in best practices for ML development and deployment.
  • Continuously improve the quality and efficiency of existing ML systems.

What we're looking for

  • Bachelor’s Degree or higher
  • 4+ years of industry ML framework experience (scikit-learn, PyTorch, Dask, Spark, TensorFlow)
  • 3+ years of experience in developing robust and maintainable code
  • 3+ years of data gathering and preparation for ML models
  • 3+ years of people management experience

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