Sr. Lead, Machine Learning Engineer (Enterprise Platforms Technology)

Capital One Financial

Quick summary

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

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $222k
This role $246k
$171k most similar roles pay here $272k

This role pays more than 77% of similar roles. Most pay $197,337–$246,150 — the shaded band above. At the midpoint, this role pays about $246k versus about $222k 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 · Sr. Lead, Machine Learning Engineer (Enterprise Platforms Technology)

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As a Senior Lead Machine Learning Engineer at Enterprise Platforms Technology in New York, you will lead the development of advanced machine learning solutions to enhance our enterprise platforms. Your role involves managing a team of engineers and working closely with stakeholders to gather data, prepare datasets, and build scalable ML models using frameworks like PyTorch or TensorFlow. You will ensure that your team’s code is performant, resilient, and maintainable while addressing complex business problems at scale. This position requires extensive experience in machine learning engineering, including people management skills and a strong background in developing robust ML systems.

Skills

scikit-learn PyTorch Dask Spark TensorFlow Python CI/CD PostgreSQL AWS Kubernetes

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 success and team growth.
  • Implement scalable solutions for enterprise-level machine learning platforms.
  • Stay updated with the latest advancements in machine learning technologies.

What we're looking for

  • 4+ years of industry experience with major ML frameworks like scikit-learn, PyTorch, TensorFlow, etc.
  • 3+ years of hands-on experience in developing robust and maintainable code.
  • 3+ years of expertise in data gathering and preparation for machine learning models.
  • Bachelor’s degree required.
  • 3+ years of people management experience.

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