Sr. Distinguished Machine Learning Engineer

Capital One Financial

Quick summary

Work type
On-site
Location
McLean, VA
Salary
$314,800–$359,300 / yr
Posted
1 day ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $218k
This role $337k
$157k most similar roles pay here $381k

This role pays more than 97% of similar roles. Most pay $184,575–$251,750 — the shaded band above. At the midpoint, this role pays about $337k versus about $218k 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. Distinguished Machine Learning Engineer

As a Senior Distinguished Machine Learning Engineer at Capital One, you will provide technical leadership by guiding engineering teams in developing and deploying machine learning applications at scale within the financial services industry. Your responsibilities include designing ML models to solve complex business problems, collaborating with cross-functional teams such as Product, Architecture, Engineering, and Data Science, and ensuring high performance through cloud-based architectures like Dask and RAPIDS. You will also mentor junior engineers and contribute to the development of best practices in engineering and modeling lifecycles. The role requires expertise in Python, Scala, C/C++, and experience with data pipelines and distributed computing technologies. Ideal candidates have a Master's degree and extensive background in scaling production-ready ML systems, as well as a track record of industry impact through contributions like conference presentations or open-source projects.

What you'll do

  • Lead the creation and evolution of ML models and software for state-of-the-art intelligent systems.
  • Drive large-scale ML initiatives focusing on customer needs and business impact.
  • Optimize data pipelines to efficiently feed machine learning models at scale.
  • Develop and review model and application code, ensuring high performance and availability.
  • Evangelize best practices throughout the engineering and modeling lifecycles.

What we're looking for

  • At least 10 years of experience designing and building data-intensive solutions using distributed computing.
  • At least 7 years of programming experience in C, C++, Python, or Scala.
  • At least 4 years of experience with the full ML development lifecycle using modern technology in a business-critical setting.
  • Experience designing, implementing, and scaling production-ready data pipelines feeding ML models.
  • Proficiency with Dask, RAPIDS, or High Performance Computing technologies.
  • Strong communication skills to convey complex technical concepts clearly across various audiences.
  • Industry impact through conference presentations, papers, blog posts, or open source contributions.

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