Senior Ml Infrastructure Engineer - Embodied Ai

General Motors

Austin, Texas, USA
Base: $153,200.00 - $234,100.00; bonus/equity: an ...
Fully remote
Large-scale distributed systems
Ml infrastructure
Ml workflows
Our team is developing and deploying machine learning solutions that support safe and reliable autonomous vehicle behavior across real-world scenarios

Job Summary

  • Our team is developing and deploying machine learning solutions that support safe and reliable autonomous vehicle behavior across real-world scenarios.
  • As a Senior ML engineer, you will build critical infrastructure that powers every machine learning engineer working on our cutting-edge Autonomous Driving models.
  • GM offers a variety of health and wellbeing benefit programs, including medical, dental, vision, retirement savings plan, and more.

Matching Summary

Our team is developing and deploying machine learning solutions that support safe and reliable autonomous vehicle behavior across real-world scenarios.

Salary

Base: $153,200.00 - $234,100.00; Bonus/Equity: An incentive pay program offers payouts based on company performance, job level, and individual performance; Benefits: GM offers a variety of health and wellbeing benefit programs.

Skills & Requirements

Must-have

  • large-scale distributed systems
  • ML infrastructure
  • ML workflows
  • production ML systems
  • cloud infrastructure
  • MLOps practices
  • containerization and orchestration

Nice-to-have

  • distributed training methodologies
  • scaling ML training
  • deep learning frameworks
  • performance profiling
  • training optimization techniques
  • advanced build systems

Key Requirements

  • 5+ years of experience
  • BS, MS, or PhD in Computer Science, Mathematics, or equivalent practical experience
  • Proficiency with Python or C++

Work Rights

Not specified

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