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

Capital One

McLean, Virginia, United States
Base: $229,900 - $262,400 (mclean va) or $250,800 ...
**
8+ years distributed computing experience
4+ years python scala or java programming
3+ years building and scaling ml systems
** Capital One is seeking a Senior Lead Machine Learning Engineer to join their Enterprise Platforms Technology team in McLean, VA, or New York, NY. The role focuses on the design, development, and productionization of machine learning applications, requiring strong technical expertise and collaborative skills within an Agile environment. **

Job Summary

  • This role involves designing and implementing machine learning applications at scale within an Agile team dedicated to productionizing systems.
  • Candidates will be responsible for constructing optimized data pipelines, managing model governance, and ensuring high availability of ML solutions.
  • The position offers competitive compensation ranging from $229,900 to $286,200 annually depending on location, along with performance-based incentives.

Matching Summary

Match Score: 75

** Capital One is seeking a Senior Lead Machine Learning Engineer to join their Enterprise Platforms Technology team in McLean, VA, or New York, NY. The role focuses on the design, development, and productionization of machine learning applications, requiring strong technical expertise and collaborative skills within an Agile environment. **

Salary

Base: $229,900 - $262,400 (McLean VA) or $250,800 - $286,200 (New York NY); Bonus/Equity: Performance based incentive compensation including cash bonuses and long term incentives; Benefits: Comprehensive health, financial, and other benefits supporting total well-being

Skills & Requirements

Must-have

  • 8+ years distributed computing experience
  • 4+ years Python Scala or Java programming
  • 3+ years building and scaling ML systems
  • Production model retraining and monitoring
  • Cloud-based architecture implementation

Nice-to-have

  • Master's degree in computer science
  • Public cloud deployment experience AWS Azure GCP
  • Experience with industry ML frameworks
  • Conference presentations or open source contributions
  • Strong communication of technical concepts

Key Requirements

  • Bachelor's degree required
  • 8 years experience in distributed computing
  • 4 years programming experience in Python Scala or Java
  • 3 years experience building ML systems
  • 2 years leading teams developing ML solutions (Preferred)

Work Rights

Not specified

Sponsorship: available

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