Dexterous Robotics Learning Intern

Dexmate; Singapore; On-site; SGD 20,000 - 27,000; Full time

Job summary

DEXMATE is seeking Robot Learning Interns to join our Singapore team and work on learning-based methods to improve robot dexterity. You will develop and test algorithms for manipulation, navigation, and control, and run experiments in simulation and on real Dexmate robots.

Ideal candidates are pursuing a PhD or hold a Master’s in CS/Robotics/EE/ME, with research experience in embodied AI, and proficiency in PyTorch and modern robot learning techniques.

Qualifications

• Currently enrolled in a PhD program or have a master degree in Computer Science, Robotics, Electrical Engineering, Mechanical Engineering, or a related technical field.
• Passionate about working with robots.
• Research experience in embodied AI, robotics, computer vision, machine learning, human-AI interaction, or computer science.
• Experience with deep learning frameworks such as PyTorch.
• Solid understanding of SOTA robot learning techniques (reinforcement learning, imitation learning, etc.).
• Experienced with robot simulators such as Isaac Gym/Isaac Sim/SAPIEN/MuJoCo/Drake, etc.
• Experience building systems based on machine learning and/or deep learning methods.

Responsibilities

• Develop new algorithms and methods for training AI models that enhance robot dexterity.
• Conduct cutting-edge research across multiple disciplines (Robotics, RL/IL, control, perception, etc.).
• 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, e.g. VLA, WAM.

Skills

Robotics research

PyTorch

Reinforcement learning

Imitation learning

Machine learning

Education

Master's or PhD in CS/Robotics/EE/ME

Tools

Isaac Gym

Isaac Sim

SAPIEN

MuJoCo

Drake

Job description

DEXMATE is seeking Robot Learning Interns to join our Singapore team and work on learning-based methods to improve robot dexterity. You will develop and test algorithms for manipulation, navigation, and control, and run experiments in simulation and on real Dexmate robots.

Ideal candidates are pursuing a PhD or hold a Master’s in CS/Robotics/EE/ME, with research experience in embodied AI, and proficiency in PyTorch and modern robot learning techniques.