Staff Ai/ml Engineer - Ai Research

General Motors

Base: $218,800.00 to $335,300.00; bonus/equity: an...
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Python and pytorch programming
Machine learning for real-world systems
Model training pipelines
** General Motors is seeking a Staff AI/ML Engineer to advance their AI Research team, focusing on machine learning solutions for autonomous driving. The role requires expertise in programming and ML techniques, along with the ability to collaborate within multidisciplinary teams. This fully remote position offers competitive compensation and a comprehensive benefits package. **

Job Summary

  • Advance the frontier of machine learning to solve challenging problems in autonomous driving.
  • Research, design, and prototype advanced ML approaches to advance the state-of-the-art in autonomous driving.
  • GM offers a variety of health and wellbeing benefit programs, including medical, dental, vision, and a retirement savings plan.

Matching Summary

Match Score: 75

** General Motors is seeking a Staff AI/ML Engineer to advance their AI Research team, focusing on machine learning solutions for autonomous driving. The role requires expertise in programming and ML techniques, along with the ability to collaborate within multidisciplinary teams. This fully remote position offers competitive compensation and a comprehensive benefits package. **

Salary

Base: $218,800.00 to $335,300.00; 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

  • Python and PyTorch programming
  • Machine learning for real-world systems
  • Model training pipelines
  • Large-scale data processing workflows
  • ML building blocks (MLPs, transformers)

Nice-to-have

  • Publishing AI/ML research
  • Autonomous vehicle experience
  • Productionizing RL training pipelines

Key Requirements

  • Bachelor's, Master's, or Ph.D. in relevant field
  • Experience applying ML to real-world systems
  • Experience with model training pipelines
  • Proficiency with ML building blocks
  • Ability to communicate and collaborate effectively

Work Rights

Not specified

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