Company Description
We are an early-stage robotics startup working on building multi-purpose mobile robots that can do complex manipulation tasks. We are looking for a creative, skilled, and motivated research scientists to join our founding team in advancing robot manipulation capabilities. We are looking for people with proven expertise in machine learning and/or robotics. You will collaborate with a team of talented researchers and engineers, and drive ongoing innovation and technological advancements within the company. This is a full-time on-site role in Santa Clara, CA.
Responsibilities
Develop new algorithms and methods for training AI models for enhancing the robot dexterity.
Conduct cutting edge research across multiple disciplines (Robotics, RL/IL, control, perception, LLM, VLM, etc.).
Work with large-scale ML systems and large-scale model training/fine-tuning.
Design and implement state-of-the-art learning-based manipulation/navigation/control algorithms on real robots.
Work with other teams to develop a diverse set of robust manipulation skills for robots.
Qualifications
Ph.D. degree in Robotics, Computer Science/Engineering, Electrical Engineering, Mechanical Engineering, etc., or equivalent research experience.
Passionate about working with robots and building robot products.
Excellent analytical, problem-solving, and communication skills.
At least 3 years of experience conducting independent research.
Deep understanding of the SOTA robot learning techniques (reinforcement learning, imitation learning, etc.)
A track record of research excellence with your work published in top conferences and journals such as Science Robotics, IJRR, RSS, CoRL, ICRA, NeurIPS, ICML, ICLR, CVPR, etc.
Proficient with Python.
Proficient with deep learning libraries such as PyTorch/TensorFlow/Jax.
Experience with real robot experiments.
Experienced with robot simulators such as Isaac Gym/ Isaac Sim/ SAPIEN/ MuJoCo/Drake, etc.