Senior Distinguished Machine Learning Engineer

Capital One Financial

Confirmed live yesterday Low trust

Quick summary

Work type: On-site
Location: McLean, VAPlano, TX
Salary: $314,800–$359,300 / yr
Posted: 98 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $226k

This role $337k

$164k most similar roles pay here $380k

This role pays more than 97% of similar roles. Most pay $197,925–$254,750 — the shaded band above. At the midpoint, this role pays about $337k versus about $226k 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.

Most-posted roles

View all roles at Capital One Financial

At a glance

TL;DR · Senior Distinguished Machine Learning Engineer

Role Posting Log in to save

As a Sr. Distinguished Machine Learning Engineer, you will provide technical leadership to engineering teams focused on productionizing machine learning applications and systems at scale. You will serve as a technical domain expert, guiding architectural design decisions, developing and reviewing model code, and ensuring high availability for all machine learning components. Your daily responsibilities include building software that solves complex problems in the financial services industry, optimizing data pipelines, and leading large-scale initiatives. To succeed, you must utilize programming languages such as Python, Scala, C, and C++, alongside compute technologies like Dask and RAPIDS. You will also leverage the PyData ecosystem, including NumPy, Pandas, and Scikit-learn. This role involves collaborating with cross-functional teams to create intelligent systems while evangelizing best practices across the entire engineering and modeling lifecycle in a business-critical environment.

What does a Machine Learning Engineer earn in Virginia?

Median $211200 from 41 postings across 3 companies.

See salary data

Skills

Machine Learning Python Scala C++ Dask RAPIDS NumPy Pandas Scikit-learn Distributed Computing Data Pipelines High Performance Computing

What you'll do

Provide technical leadership for engineering teams to productionize machine learning applications at scale.
Design, develop, and implement machine learning applications using existing and emerging technology platforms.
Serve as a domain expert to guide architectural decisions and ensure high availability of ML systems.
Develop and review model and application code to solve complex financial service problems.
Optimize data pipelines and leverage cloud-based architectures to deliver high-performance models.
Evangelize best practices across the entire engineering and modeling lifecycle.
Mentor other engineers and help recruit, nurture, and retain top technical talent.

What we're looking for

Bachelor's degree or Master's degree.
At least 10 years of experience designing and building data-intensive solutions using distributed computing.
At least 7 years of experience programming in C, C++, Python, or Scala.
At least 4 years of experience with the full ML development lifecycle in a business critical setting.
3+ years of experience designing, implementing, and scaling production-ready data pipelines for ML models.
3+ years of experience using Dask, RAPIDS, or High Performance Computing.
3+ years of experience with the PyData ecosystem including NumPy, Pandas, and Scikit-learn.
Ability to communicate complex technical concepts clearly to various audiences.

Save