Research Scientist

Responsibilities

• Develop new algorithms and methods for training AI models for enhancing the robot dexterity
• Conduct cutting edge research across multiple disciplines including Robotics, RL/IL, control, perception, LLM, and VLM
• Work with large-scale ML systems and large-scale model training/fine-tuning
• Design and implement state-of-the-art learning-based manipulation, navigation, and control algorithms on real robots
• Work with other teams to develop a diverse set of robust manipulation skills for robots

Requirements

• Ph.D. degree in Robotics, Computer Science/Engineering, Electrical Engineering, Mechanical Engineering, or equivalent research experience
• At least 3 years of experience conducting independent research
• Deep understanding of SOTA robot learning techniques such as reinforcement learning and imitation learning
• Track record of research excellence published in top conferences like Science Robotics, IJRR, RSS, CoRL, ICRA, NeurIPS, ICML, ICLR, or CVPR
• Proficiency with Python
• Proficiency with deep learning libraries such as PyTorch, TensorFlow, or Jax
• Experience with real robot experiments
• Experience with robot simulators such as Isaac Gym, Isaac Sim, SAPIEN, MuJoCo, or Drake

About the Company

Dexmate is building the foundation for physical AI — a unified platform that combines high-quality robotic hardware with a universal Physical AI OS, making robots as easy to build and deploy as software.