Sr. Lead, Machine Learning Engineer (enterprise Platforms Technology)

Capital One

McLean, VA, US
Mclean, va: $229,900 - $262,400; new york, ny: $25...
Productionizing machine learning applications at scale
Ml architectural design
Develop and review model code
As a Machine Learning Engineer, you will be part of an Agile team dedicated to productionizing machine learning applications and systems at scale

Job Summary

  • As a Machine Learning Engineer, you will be part of an Agile team dedicated to productionizing machine learning applications and systems at scale.
  • You will focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications.
  • Enterprise Platforms Technology comprises many of Capital One’s most important enterprise platforms, establishing practices for building technology solutions across the company.

Matching Summary

As a Machine Learning Engineer, you will be part of an Agile team dedicated to productionizing machine learning applications and systems at scale.

Salary

McLean, VA: $229,900 - $262,400; New York, NY: $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

  • productionizing machine learning applications at scale
  • ML architectural design
  • develop and review model code
  • high availability and performance
  • Python, Scala, or Java programming
  • building, scaling, and optimizing ML systems
  • cloud-based architectures and platforms

Nice-to-have

  • continuous learning and best practices
  • collaboration with Product and Data Science teams
  • ML industry impact
  • communicate complex technical concepts

Key Requirements

  • Bachelor’s degree
  • At least 8 years of experience designing and building data-intensive solutions
  • At least 4 years of experience programming with Python, Scala, or Java
  • At least 3 years of experience building, scaling, and optimizing ML systems
  • At least 2 years of experience leading teams developing ML solutions
  • Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field
  • 4+ years of experience with an industry recognized ML framework
  • 3+ years of experience developing performant, resilient, and maintainable code
  • 3+ years of experience with data gathering and preparation for ML models
  • 3+ years of people management experience
  • 3+ years of experience building production-ready data pipelines

Work Rights

Not specified

Sponsorship: available

Tailored Resume

Cover Letter