Senior Applied Scientist - Ai & Robotics

General Motors

Detroit, Michigan, United States
Base: $150,000 – $195,000; bonus: incentive pyy pr...
Hybrid
Phd in stem or master's with equivalent experience
Deep understanding of transformers vlms vlas diffusion models
Strong pytorch implementation skills including custom modules
The role involves leading the development of end-to-end AI systems that enable dexterous manipulation and autonomous behaviors on physical robotic platforms

Job Summary

  • The role involves leading the development of end-to-end AI systems that enable dexterous manipulation and autonomous behaviors on physical robotic platforms.
  • Candidates will design advanced robot learning architectures such as diffusion policies and VLA agents to solve manipulation and planning challenges at an industrial scale.
  • This hybrid position offers the opportunity to collaborate with world-class experts and deploy innovations on real robotic systems across GM's global ecosystem.

Matching Summary

The role involves leading the development of end-to-end AI systems that enable dexterous manipulation and autonomous behaviors on physical robotic platforms.

Salary

Base: $150,000 – $195,000; Bonus: Incentive pay program based on company and individual performance; Benefits: Medical dental vision HSA FSA retirement savings life insurance paid vacation tuition assistance vehicle discounts

Skills & Requirements

Must-have

  • PhD in STEM or Master's with equivalent experience
  • Deep understanding of Transformers VLMs VLAs diffusion models
  • Strong PyTorch implementation skills including custom modules
  • Experience deploying ML models on robotic systems
  • Practical experience with ROS/ROS2 middleware

Nice-to-have

  • Experience with Isaac Sim Mujoco Gazebo simulation environments
  • Track record of production-ready robotics systems
  • Open-source contributions to robotics or AI
  • Publications in top-tier robotics/AI venues
  • Expertise in sim-to-real transfer strategies

Key Requirements

  • PhD in Computer Science Engineering Robotics or related field
  • Master's degree with equivalent industry experience in applied robotics
  • Proven track record of deploying ML models on robotic platforms

Work Rights

Not specified

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