Research scientist (Robotics, AI)

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

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

Full Description

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 collaboratewith 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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