Senior ML Engineer — Production-Grade AI & Scalable Systems

Capital One; McLean (VA); On-site; USD 229,900 - 262,400; Full time

Benefits offered by this job

Health Benefits

Performance-based Incentives

Inclusive Work Environment

Job summary

Capital One is seeking a Machine Learning Engineer (MLE) in McLean, VA to help scale machine learning applications. You will design and develop ML models, collaborate with teams, and ensure performance while maintaining high standards in code quality and model governance.

The ideal candidate will have significant experience in solution design, programming, and leading teams in ML application development. A comprehensive benefits package is also offered, along with potential performance-based incentives.

Qualifications

• 8+ years of experience designing data-intensive solutions.
• 4+ years of programming experience in Python, Scala, or Java.
• 3+ years of experience with ML systems and production-ready data pipelines.

Responsibilities

• Design and deliver ML models solving real business problems.
• Collaborate with cross-functional Agile teams.
• Maintain, monitor, and improve ML models in production.

Skills

Machine Learning

Python

Distributed Computing

Cloud Solutions

Agile Teamwork

Education

Bachelor's Degree

Master’s or Doctoral Degree in a relevant field

Tools

AWS

TensorFlow

PyTorch

Job description

Capital One is seeking a Machine Learning Engineer (MLE) in McLean, VA to help scale machine learning applications. You will design and develop ML models, collaborate with teams, and ensure performance while maintaining high standards in code quality and model governance.

The ideal candidate will have significant experience in solution design, programming, and leading teams in ML application development. A comprehensive benefits package is also offered, along with potential performance-based incentives.