Lead ML Engineer — Scalable Production Systems

Capital One; McLean (VA); On-site; USD 269,000 - 307,000; Full time

Job summary

Capital One is seeking a Staff Machine Learning Engineer to provide technical leadership for productionizing ML applications at scale in the McLean, VA area. You will guide architecture, review model code, and mentor engineers while delivering high-availability ML solutions across product and data science teams.

You will drive state-of-the-art ML model development, optimize data pipelines, and Evangelize best practices across the engineering lifecycle.

Qualifications

• Design and build data-intensive solutions using distributed computing.
• Proficient in Python, C, C++ or Scala.
• Hands-on full ML development lifecycle in a business-critical setting.

Responsibilities

• Deliver ML models and software components for scalable systems.
• Lead large-scale ML initiatives with the customer in mind.
• Mentor engineers and promote best practices across teams.

Skills

Distributed computing

C/C++

Python

Scala

ML lifecycle

Education

Bachelor's degree

Master's Degree

Tools

Dask

RAPIDS

NumPy

Pandas

Scikit-learn

Job description

Capital One is seeking a Staff Machine Learning Engineer to provide technical leadership for productionizing ML applications at scale in the McLean, VA area. You will guide architecture, review model code, and mentor engineers while delivering high-availability ML solutions across product and data science teams.

You will drive state-of-the-art ML model development, optimize data pipelines, and Evangelize best practices across the engineering lifecycle.