Staff Ai / Ml Engineer - Embodied Ai

General Motors Australia & New Zealand

Mountain View, United States
$218,800.00 to $335,300.00; bonus potential: compy...
Fully remote
Unsupervised pre-training
Imitation learning
Reinforcement learning
As a Staff AI/ML Engineer in the Embodied AI organization, you will serve as a senior individual contributor developing and deploying machine learning solutions that directly impact autonomous driving performance

Job Summary

  • As a Staff AI/ML Engineer in the Embodied AI organization, you will serve as a senior individual contributor developing and deploying machine learning solutions that directly impact autonomous driving performance.
  • You will design and implement advanced ML models that enable safe and reliable vehicle behavior across diverse real-world scenarios.
  • GM offers a variety of health and wellbeing benefit programs, including medical, dental, vision, retirement savings plan, and more.

Matching Summary

As a Staff AI/ML Engineer in the Embodied AI organization, you will serve as a senior individual contributor developing and deploying machine learning solutions that directly impact autonomous driving performance.

Salary

$218,800.00 to $335,300.00; Bonus Potential: Company performance, job level, and individual performance; Benefits: Health and wellbeing benefit programs, retirement savings plan, tuition assistance, GM vehicle discounts

Skills & Requirements

Must-have

  • unsupervised pre-training
  • imitation learning
  • reinforcement learning
  • foundation modeling
  • object detection/tracking/classification
  • trajectory generation
  • safe AI

Nice-to-have

  • human-centered design process
  • next-generation safety features
  • technical collaboration and mentorship
  • continuous improvement of autonomy stack

Key Requirements

  • Bachelor's, Master's, or PhD
  • Experience with large-scale foundation models
  • Proficiency in PyTorch and Python
  • Experience building and scaling model training pipelines
  • Strong data processing skills
  • Experience deploying ML models into production
  • Experience in robotics or autonomous driving systems preferred

Work Rights

Not specified

Tailored Resume

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