Staff Applied Scientist - AI & Robotics

Role: Applied Scientists with AI and Robotics

Location: Mountain View, CA

Duration: long term

Required Qualifications

• 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—including training, evaluation, and real-world execution or simulation.

• Deep understanding of modern AI architectures (e.g., Transformers, diffusion models, VLM/VLAs, CNNs) with strong experience training models at scale.

• 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.

Preferred Qualifications

• Experience developing robot learning systems for dexterous manipulation, multi-step task execution, or autonomous behaviors.

• Expertise in robotics perception, including 3D understanding, force sensing, tactile feedback, multimodal fusion, or affordance modeling.

• Familiarity with Isaac Sim, Mujoco, Gazebo, PyBullet, or custom simulators, and demonstrated ability to transfer policies to hardware.

• Experience adapting foundation models (VLM/VLAs, diffusion, instruction-following agents) for embodied control tasks.

• Track record of production-ready robotics systems, reproducible research artifacts, or deployments in physical environments.

Thanks
Anshika