Robot Learning Intern
At a glance
Junior AI Research role at Dexmate. Singapore Office · internship.
Pay not stated AI Research salary
aimlroles summary, based on the employer's posting.
What you'll do
- Create training approaches that help AI models improve how dexterously robots move and handle objects
- Research methods spanning robotics, reinforcement or imitation learning, control and perception
- Build and evaluate learning-based methods for robot manipulation, navigation and control on physical robots
- Coordinate with other teams to give robots a broad set of reliable skills, including VLA and WAM
What you bring
- You are pursuing a PhD or hold a master’s degree in a relevant technical discipline
- You have research experience in embodied AI, robotics, computer vision, machine learning or a related area
- You have used PyTorch or similar deep-learning frameworks and built systems using machine-learning methods
- You understand current robot-learning methods and have worked with simulators such as Isaac Gym, Isaac Sim or another listed simulator
Who this fits
This internship suits someone passionate about working with robots and interested in learning-based robotics research. The role is onsite in Singapore.
From the employer
About Dexmate
Dexmate is building the foundation for physical AI — combining a new generation of robots with a universal Physical AI OS, making robots as easy to build and deploy as software. Today, robotics is fragmented, slow, and closed: most builders are forced to reinvent the same stack again and again, and most ideas never make it past the prototype stage. We exist to change that. Our 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.
If you want to help shape the next layer of human capability — and believe the future of robotics should be built together, not in isolation — we'd love to build it with you.
The Role
We are looking for Robot Learning Interns to join our Singapore team and work on learning-based methods that make robots more dexterous. You will develop and test new algorithms for manipulation, navigation, and control, and run experiments in simulation and on real Dexmate robots.
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.
Minimum 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.
Preferred Qualifications
A track record of research, with work published in top conferences and journals such as Science Robotics, IJRR, RSS, CoRL, ICRA, NeurIPS, ICML, ICLR, CVPR, etc.