Job Summary

• As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale.
• You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms.
• You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering.

Matching Summary

Salary

Base: $197,300 - $225,100; Bonus/Equity: performance based incentive compensation; Benefits: comprehensive, competitive, and inclusive set of health, financial and other benefits

Skills & Requirements

Key Requirements

• Bachelor’s Degree
• 6 years of experience designing and building data-intensive solutions
• 4 years of experience programming with Python, Scala, or Java
• 2 years of experience building, scaling, and optimizing ML systems
• Master's or Doctoral Degree (Preferred)
• 3+ years of experience building production-ready data pipelines (Preferred)
• 3+ years of experience with ML framework (Preferred)
• 2+ years of experience developing performant, resilient, and maintainable code (Preferred)
• 2+ years of experience with data gathering and preparation (Preferred)
• 2+ years of people leader experience (Preferred)
• 1+ years of experience leading teams developing ML solutions (Preferred)
• Experience developing and deploying ML solutions in a public cloud (Preferred)

Work Rights