Research Scientist
What you'll do
● Design and develop robot autonomy software stack and algorithms to enable capabilities including grasping and more dexterous behaviors in unstructured environments
● Research and implement state-of-the-art robot learning policies, including reinforcement learning and imitation learning-based techniques
● Build reliable, high-speed robot autonomy software stack optimized for inference performance
● Design and maintain robust data collection and curation pipelines for production robot fleets
● Optimize robot policies for distributed training at scale and real-time edge deployment
● Ship production quality, safety-critical software
● Advance SOTA dexterous manipulation research through novel methodologies while bridging theory & practice—real customer use-cases with clear success criteria.
Required Qualifications
● PhD or MS degree in Computer Science, Machine Learning, Robotics, or equivalent technical discipline
● Deep expertise in machine learning fundamentals, reinforcement learning, and associated frameworks (PyTorch, TensorFlow, Ray, etc.)
