Research Intern, PhD (AI, Robotics)

Research Intern

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 interns to advance robot manipulation capabilities. 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

• Currently enrolled in a PhD degree in Computer Science, Robotics, Electrical Engineering, Mechanical Engineering, etc., or related technical field.
• Passionate about working with robots.
• Research experience in embodied AI, robotics, computer vision, machine learning, human-AI interaction, and computer science.
• Experience with deep learning frameworks such as PyTorch.
• Must obtain work authorization in U.S. at the time of hire and maintain ongoing work authorization during employment.
• Excellent analytical, problem-solving, and communication skills.
• At least 2 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.
• Experienced with robot simulators such as Isaac Gym/ Isaac Sim/ SAPIEN/ MuJoCo/Drake, etc.
• Experience setting up ML experiments and analyze their results.
• Experience building systems based on machine learning and/or deep learning methods.