Senior Lead Machine Learning Engineer, (intelligent Foundations & Experiences)

Capital One

McLean, VA, US
Mclean, va: $229,900 - $262,400; richmond, va: $20...
Design and build ml models
Develop and validate ml models
Cloud-based architectures for ml
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

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 focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications.
  • Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being.

Matching 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.

Salary

McLean, VA: $229,900 - $262,400; Richmond, VA: $209,000 - $238,500; San Francisco, CA: $250,800 - $286,200; Bonus/Equity: Performance based incentive compensation; Benefits: Comprehensive, competitive, and inclusive set of health, financial and other benefits

Skills & Requirements

Must-have

  • design and build ML models
  • develop and validate ML models
  • cloud-based architectures for ML
  • optimized data pipelines for ML
  • CI/CD best practices for ML
  • Responsible and Explainable AI

Nice-to-have

  • ML industry impact
  • communicate complex technical concepts

Key Requirements

  • Bachelor's Degree
  • 8+ years data-intensive solutions
  • 4+ years Python, Scala, or Java
  • 3+ years building ML systems
  • 2+ years leading ML teams

Work Rights

Not specified

Sponsorship: available

Tailored Resume

Cover Letter