Research scientist (Robotics, AI)

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.

Skills

Python
Deep learning libraries such as PyTorch/TensorFlow/Jax
Real robot experiments
Robot simulators such as Isaac Gym/ Isaac Sim/ SAPIEN/ MuJoCo/Drake, etc.

Benefits

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Pay

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Schedule

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Benefits

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