General Motors Australia & New Zealand is seeking a Senior Applied Scientist in AI & Robotics to lead the development of advanced robotic systems focusing on dexterous manipulation and autonomous behaviors. The ideal candidate should possess expertise in machine learning, robotics, and AI architectures, along with a strong background in deploying models on robotic systems
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 integrating multi-modal sensor data such as RGB, depth, and LiDAR for real-world deployment.
This position offers the opportunity to collaborate with world-class experts and see innovations deployed on real robotic systems across GM's global ecosystem.
Matching Summary
Match Score: 85
General Motors Australia & New Zealand is seeking a Senior Applied Scientist in AI & Robotics to lead the development of advanced robotic systems focusing on dexterous manipulation and autonomous behaviors. The ideal candidate should possess expertise in machine learning, robotics, and AI architectures, along with a strong background in deploying models on robotic systems.
Salary
Base: $150,000 – $195,000; Bonus: Incentive pay program based on performance; Benefits: Medical, dental, vision, retirement savings plan, paid vacation
Skills & Requirements
Must-have
PhD in Computer Science or Robotics
Deep understanding of Transformers and VLMs
Hands-on PyTorch implementation experience
ROS/ROS2 robotics middleware integration
Deploying ML models on robotic platforms
Nice-to-have
Experience with diffusion policies and ACT
Familiarity with Isaac Sim or Mujoco simulation
Track record of top-tier robotics publications
Experience with sim-to-real transfer strategies
Knowledge of force/torque sensing integration
Key Requirements
PhD in STEM field or Master's with equivalent experience
Proven experience building and deploying ML models on robots
Strong implementation ability in PyTorch
Practical experience with ROS/ROS2 or robotics middleware