Research scientist (Robotics, AI)
Posted 2026-09-27 · Verified live 2026-09-27
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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.
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