Staff Applied Scientist - Ai & Robotics

General Motors Australia & New Zealand

Base: $198,000 to $260,000; bonus: incentive pyy b...
Hybrid
Phd or master's in stem field
Deep understanding of transformers and diffusion models
Strong pytorch implementation skills
General Motors Australia & New Zealand is seeking a Staff Applied Scientist specializing in AI and Robotics to advance their embodied AI initiatives. The role involves designing and implementing robot learning architectures and collaborating with cross-functional teams to deploy robotic solutions for real-world applications

Job Summary

  • The role involves leading the development of core components for embodied AI systems that enable dexterous manipulation in real-world industrial environments.
  • Candidates will design advanced robot learning architectures such as diffusion policies and ACT to support autonomous task sequencing and path planning.
  • The position offers a competitive salary range of $198,000 to $260,000 along with benefits including medical, dental, vision, and eligibility for a company vehicle program.

Matching Summary

Match Score: 85

General Motors Australia & New Zealand is seeking a Staff Applied Scientist specializing in AI and Robotics to advance their embodied AI initiatives. The role involves designing and implementing robot learning architectures and collaborating with cross-functional teams to deploy robotic solutions for real-world applications.

Salary

Base: $198,000 to $260,000; Bonus: Incentive pay based on performance; Benefits: Medical, dental, vision, retirement savings, GM vehicle discounts

Skills & Requirements

Must-have

  • PhD or Master's in STEM field
  • Deep understanding of Transformers and diffusion models
  • Strong PyTorch implementation skills
  • Experience with ROS/ROS2 integration
  • Proven track record deploying ML on robotics

Nice-to-have

  • Experience with Isaac Sim or Mujoco simulators
  • Expertise in tactile feedback and force sensing
  • Background in VLM/VLA-guided agents
  • Production-ready robotics system deployments
  • Open-source contributions in robot learning

Key Requirements

  • PhD in relevant STEM field or Master's with equivalent experience
  • Demonstrated impact via publications or production deployments
  • Practical experience with multi-modal sensory data integration

Work Rights

Not specified

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