About the job
At Dexmate, we are pioneering the future of robotics as an innovative startup dedicated to creating versatile mobile robots capable of executing intricate manipulation tasks. We seek talented and passionate Robot Learning Engineers to join our dynamic team and elevate our robot manipulation capabilities. Ideal candidates will have a strong background in machine learning and/or robotics, and will thrive in a collaborative environment with dedicated researchers and engineers committed to driving technological progress. This full-time role is based in our Santa Clara, CA office.
Key Responsibilities
Develop and implement cutting-edge learning algorithms for robot manipulation, navigation, and control, ensuring seamless transition from simulation to real-world deployment.
Innovate new techniques to improve robot dexterity and mobility through reinforcement learning, imitation learning, and foundational models.
Scale machine learning systems for extensive model training and fine-tuning processes.
Cultivate a diverse array of robust manipulation skills that expand the potential of robotic systems.
Work in close partnership with hardware, controls, and systems engineers to devise integrated solutions.
Required Qualifications
PhD in Robotics, Computer Science, Electrical Engineering, Mechanical Engineering, or a related discipline; OR a Master’s degree with over 1 year of industry experience; OR a Bachelor’s degree with 3+ years of relevant industry experience.
A minimum of 2 years of practical experience in developing AI systems for robotics applications.
Deep knowledge of contemporary robot learning methodologies including reinforcement learning, imitation learning, and behavior cloning.
Strong command of Python and familiarity with deep learning frameworks such as PyTorch, TensorFlow, or JAX.
Demonstrated experience in conducting real robot experiments and troubleshooting complex robotic systems.
Familiarity with robot simulators including Isaac Gym, Isaac Sim, MuJoCo, SAPIEN, Drake, or similar tools.
Exceptional problem-solving skills and effective communication abilities.
A genuine enthusiasm for robotics and a commitment to developing practical solutions.
Preferred Qualifications
Publications in leading robotics or AI journals.

