AI Research Scientist, Physical AI

What you'll do

• Develop LLM post-training methods using reinforcement learning and 3D data.
• Integrate large-scale simulation into LLM post-training.
• Research how LLMs can solve problems in mechanical, aerospace, civil, and other engineering disciplines.

What they ask for

• Bachelor's degree in a relevant technical field or equivalent practical experience; degree must be completed before joining.
• PhD in a relevant field or equivalent practical experience; degree must be completed before joining.
• Research experience in at least one of the listed areas, such as physical AI, simulation, reinforcement learning, robotics, or LLMs.
• Experience with C/C++, Python, and deep learning frameworks; must obtain and maintain work authorization in the country of employment.

Nice to have

• Experience integrating and debugging prototype/scientific software-hardware systems, including engineering-domain simulations.
• Engineering-domain work experience, cross-functional teamwork, and a record of research results such as grants, patents, or first-authored publications.

Pay

$184,000/year to $257,000/year (base salary)

Tools

C/C++, Python, PyTorch, TensorFlow

AI focus

Foundational physical AI research, including LLM post-training with reinforcement learning and 3D data, and simulation integration for engineering applications.