Robot Learning Intern at Dexmate (Singapore)
Dexmate· Singapore·
Role details
Summary
The Robot Learning Intern will develop new algorithms and methods for training AI models to enhance robot dexterity. The role involves conducting research in robotics, reinforcement learning, and control, and implementing state-of-the-art learning-based manipulation and navigation algorithms on real robots.
Job description
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. 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.
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.
Why work at Dexmate
- Mission-Driven: Opportunity to work on cutting-edge general-purpose robotics and Physical AI, moving technology from labs to real-world impact.
- Engineering-Heavy Culture: 60% of employees are in technical roles (AI, robotics, software, hardware), with a strong emphasis on hands-on building.
- Fast-Growing Startup: ~328% headcount growth in one year, indicating high trajectory and opportunity for early employees to have outsized impact.
- Location: HQ in Santa Clara, CA (Silicon Valley), with an in-office work policy (on-site workspace).
- Compensation: Engineering roles list salary ranges like $100K–$300K, competitive for the robotics/AI space.
- Notable Culture Signals: "Build with us" hiring language, active LinkedIn community (4,273 followers), and a focus on "smile, reach out, and instantly connect" suggests a collaborative, builder-oriented environment.