Staff Applied Scientist – AI & Robotics, leading the development of core components of embodied systems, designing, prototyping, and deploying robot learning models.
Requirements
- PhD in a relevant STEM field or Master’s with equivalent industry experience in robotics, robot learning, or embodied AI.
- Proven experience building and deploying machine learning models on robotic systems.
- Deep understanding of modern AI architectures, including Transformers, diffusion models, VLM/VLAs, CNNs.
- Strong PyTorch implementation skills, including authoring custom modules, batching, debugging, and performance optimization.
- Practical experience with ROS/ROS2 and integrating learned policies into manipulation or motion control workflows.
- Demonstrated impact via robot learning publications, open-source contributions, or production robotics deployments.
Benefits
- Medical
- Dental
- Vision
- 401(k) plan
- Competitive compensation
