Research Intern, PhD (AI, Robotics)

About Dexmate

Dexmate is building the foundation for physical AI, combining a new generation of robots with a universal Physical AI OS. Their mission is to democratize robotics by lowering the barrier to entry, delivering a plug-and-play platform for developers, researchers, and enterprises, and cultivating an open ecosystem that accelerates the evolution of physical AI.

The Role

Dexmate is seeking PhD research interns to push the frontier of robot learning on real hardware. Interns will develop new algorithms for dexterous manipulation, navigation, and control, train and fine-tune large models, and validate ideas on Dexmate robots.

Key Responsibilities

• Develop new algorithms and methods for training AI models for enhancing 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.

Minimum Qualifications

• Currently enrolled in a PhD degree in Computer Science, Robotics, Electrical Engineering, Mechanical Engineering, 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 the 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 SOTA robot learning techniques (reinforcement learning, imitation learning, etc.).
• A track record of research excellence with 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 analyzing their results.
• Experience building systems based on machine learning and/or deep learning methods.