Research Scientist - Robotics & AI for Real Robots

Roboticsconnected; Fremont (CA); On-site; USD 150,000 - 230,000; Full time

Job summary

Dexmate is building the foundation for physical AI. We are seeking Research Scientists to lead research, develop learning methods across reinforcement and imitation learning, run large-scale training, and translate work from simulation to real robots and products.

Join a team applying cutting-edge methods across robotics, RL/IL, control, perception, and foundation models. Proficiency with Python and deep learning libraries is expected, with experience in real robot experiments and simulators.

Qualifications

• Ph.D. in Robotics, Computer Science/Engineering, Electrical Engineering, Mechanical Engineering, or equivalent research experience.
• Passionate about working with robots and building robot products.
• Excellent analytical, problem-solving, and communication skills.
• At least 3 years of independent research experience.
• Proficient with Python and deep learning libraries (PyTorch, TensorFlow, Jax).

Responsibilities

• Develop new algorithms and methods for training AI models to enhance robot dexterity.
• Conduct cutting-edge research across robotics, RL/IL, control, perception, LLMs, VLMs, etc.
• Work with large-scale ML systems and model training/fine-tuning.
• Design and implement learning-based manipulation/navigation/control algorithms on real robots.
• Collaborate with other teams to develop robust manipulation skills for robots.

Skills

Python

Independent researcher

Strong communication

Education

Ph.D. in Robotics or related field

Tools

PyTorch

TensorFlow

Jax

Isaac Gym

Isaac Sim

SAPIEN

MuJoCo

Drake

Job description

Dexmate is building the foundation for physical AI. We are seeking Research Scientists to lead research, develop learning methods across reinforcement and imitation learning, run large-scale training, and translate work from simulation to real robots and products.

Join a team applying cutting-edge methods across robotics, RL/IL, control, perception, and foundation models. Proficiency with Python and deep learning libraries is expected, with experience in real robot experiments and simulators.