What are the responsibilities and job description for the Robot learning engineer position at Dexmate?
Company Description
We are an early-stage robotics startup working on building multi-purpose mobile robots that can do complex manipulation tasks. We are looking for a creative, skilled, and motivated robot learning engineers to join our team in advancing robot manipulation capabilities. We are looking for people with proven expertise in machine learning and/or robotics. You will collaborate with a team of talented researchers and engineers, and drive ongoing innovation and technological advancements within the company. This is a full-time on-site role in Santa Clara, CA.
Responsibilities
We are an early-stage robotics startup working on building multi-purpose mobile robots that can do complex manipulation tasks. We are looking for a creative, skilled, and motivated robot learning engineers to join our team in advancing robot manipulation capabilities. We are looking for people with proven expertise in machine learning and/or robotics. You will collaborate with a team of talented researchers and engineers, and drive ongoing innovation and technological advancements within the company. This is a full-time on-site role in Santa Clara, CA.
Responsibilities
- Design and implement state-of-the-art learning algorithms for robot manipulation, navigation, and control—from simulation to deployment on physical systems
- Develop novel approaches to enhance robot dexterity and mobility using reinforcement learning, imitation learning, and foundation models, etc.
- Scale ML systems for large-scale model training and fine-tuning.
- Build diverse, robust manipulation skills that push the boundaries of what robots can do
- Collaborate closely with hardware, controls, and systems engineers to create integrated solutions
- PhD in Robotics, Computer Science, Electrical Engineering, Mechanical Engineering, or related field; OR Master's degree with 1 years industry experience; OR Bachelor's degree with 3 years industry experience
- 2 years of hands-on experience developing AI systems for robotics applications
- Deep expertise in modern robot learning techniques (reinforcement learning, imitation learning, behavior cloning, etc.)
- Strong proficiency in Python and deep learning frameworks (PyTorch, TensorFlow, or JAX)
- Proven experience conducting real robot experiments and debugging complex robotic systems
- Experience with robot simulators (Isaac Gym, Isaac Sim, MuJoCo, SAPIEN, Drake, or similar)
- Excellent problem-solving abilities and strong communication skills
- Genuine passion for robotics and building products that work in the real world
- Publications at top robotics/ML conferences (RSS, CoRL, ICRA, IROS, NeurIPS, ICLR, etc.)
- Experience with vision-language models or foundation models for robotics
- Familiarity with sim-to-real transfer techniques and domain randomization
- Experience with distributed training and MLOps infrastructure
- Background in manipulation, grasping, or mobile manipulation
- Track record of taking research from prototype to production