Senior Lead, Machine Learning Engineer (genai, Python, Aws)

Capital One

Cambridge, MA, US
Base: $209,000 - $262,400 annualized by location; ...
8+ years distributed computing experience
4+ years python/scala/java programming
3+ years building scalable ml systems
This role involves designing and productionizing machine learning applications at scale within an Agile team environment

Job Summary

  • This role involves designing and productionizing machine learning applications at scale within an Agile team environment.
  • Candidates will leverage cloud-based architectures to deliver optimized ML models while ensuring high availability and performance.
  • The position offers competitive compensation ranging from $209,000 to $262,400 annually depending on location, along with performance incentives.

Matching Summary

This role involves designing and productionizing machine learning applications at scale within an Agile team environment.

Salary

Base: $209,000 - $262,400 annualized by location; Bonus/Equity: Performance based incentive compensation including cash bonuses and long term incentives; Benefits: Comprehensive health, financial, and well-being benefits included

Skills & Requirements

Must-have

  • 8+ years distributed computing experience
  • 4+ years Python/Scala/Java programming
  • 3+ years building scalable ML systems
  • GenAI and machine learning architectural design
  • AWS cloud-based architecture implementation

Nice-to-have

  • Master's or doctoral degree in CS
  • Experience with PyTorch or TensorFlow frameworks
  • Conference presentations or open source contributions
  • Strong communication of complex technical concepts
  • Leadership experience managing ML teams

Key Requirements

  • Bachelor's Degree required
  • 8 years experience in data-intensive solutions
  • 4 years programming experience in Python, Scala, or Java
  • 3 years experience scaling ML systems
  • 2 years leading ML solution teams (Preferred)

Work Rights

Not specified

Sponsorship: available

Tailored Resume

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