Senior Ai / Ml Engineer - Embodied Ai

General Motors Australia & New Zealand

Mountain View, United States
Base: $170,600.00 to $261,300.00; bonus/equity: in...
Fully remote
Develop and deploy machine learning solutions
Unsupervised pre-training, imitation learning, reinforcement learning
Object detection, tracking, classification
As a Senior AI/ML Engineer in the Embodied AI organization, you will develop and deploy machine learning solutions contributing to autonomous driving performance

Job Summary

  • As a Senior AI/ML Engineer in the Embodied AI organization, you will develop and deploy machine learning solutions contributing to autonomous driving performance.
  • You will collaborate closely with senior engineers and cross-functional teams to translate research and technical concepts into production-ready solutions while contributing to engineering best practices and delivery execution.
  • GM offers a variety of health and wellbeing benefit programs, including medical, dental, vision, retirement savings plan, and more.

Matching Summary

As a Senior AI/ML Engineer in the Embodied AI organization, you will develop and deploy machine learning solutions contributing to autonomous driving performance.

Salary

Base: $170,600.00 to $261,300.00; Bonus/Equity: Incentive pay program based on company, job level, and individual performance; Benefits: Health and wellbeing benefit programs, retirement savings plan, GM vehicle discounts, and more.

Skills & Requirements

Must-have

  • Develop and deploy machine learning solutions
  • Unsupervised pre-training, imitation learning, reinforcement learning
  • Object detection, tracking, classification
  • Trajectory generation, safe AI
  • Proficiency in PyTorch and Python
  • Model training pipelines, large-scale data processing

Nice-to-have

  • Human-centered design process
  • Next-generation safety features
  • Collaborate with senior engineers
  • Engineering best practices and delivery execution
  • Research advancements into practical applications

Key Requirements

  • Bachelor's or Master's degree
  • Experience applying ML to real-world systems
  • Experience deploying ML models into production preferred

Work Rights

Not specified

Tailored Resume

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