Senior Distinguished Engineer

Capital One Financial

Confirmed live yesterday Low trust

Quick summary

Work type: On-site
Location: McLean, VA
Salary: $314,800–$359,300 / yr
Posted: 81 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 $207k

This role $337k

$134k most similar roles pay here $383k

This role pays more than 94% of similar roles. Most pay $158,362–$256,000 — the shaded band above. At the midpoint, this role pays about $337k versus about $207k 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 Engineer

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As a Sr. Distinguished Engineer, you will provide technical leadership to engineering teams dedicated to productionizing machine learning applications and systems at scale. You will serve as a technical domain expert, guiding architectural design decisions, developing and reviewing model and application code, and ensuring high availability for machine learning systems. Your daily work involves delivering software components that solve challenging business problems in the financial services industry by collaborating with product, architecture, engineering, and data science teams. You will build and optimize data pipelines to feed models while utilizing cloud-based architectures. The role requires proficiency in Python, Scala, C/C++, Dask, RAPIDS, and the PyData ecosystem including NumPy, Pandas, and Scikit-learn. You will also evangelize best practices across the engineering lifecycle and mentor other engineers to maintain a cutting edge of technology.

What does a Engineer earn?

Median $185000 from 249 postings across 48 companies.

See salary data

Skills

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

What you'll do

Provide technical leadership for engineering teams to productionize machine learning applications at scale.
Design and implement machine learning architectures using emerging technology platforms.
Develop and review model and application code to ensure high availability and performance.
Build and optimize data pipelines to feed machine learning models.
Deliver ML models and software components that solve complex financial services problems.
Utilize cloud-based architectures and technologies like Dask and RAPIDS to deliver optimized models.
Evangelize best practices across the entire engineering and modeling lifecycle.
Mentor 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.

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