About the job
Join dexmate, an innovative robotics startup located in Santa Clara, where we are pioneering the development of versatile mobile robots capable of performing intricate manipulation tasks. We seek a passionate and skilled PhD Research Intern to help propel our advancements in robotic manipulation technologies. This is a unique opportunity to collaborate with a dynamic team of researchers and engineers dedicated to driving innovation and technological breakthroughs in the field of robotics. This role is full-time and on-site in Santa Clara, CA.
Key Responsibilities
Design and develop cutting-edge algorithms and methodologies for AI model training aimed at enhancing robotic dexterity.
Engage in advanced research across various domains including Robotics, Reinforcement Learning, Imitation Learning, Control Systems, and Perception.
Manage large-scale machine learning systems, focusing on model training and fine-tuning.
Create and implement state-of-the-art learning-based algorithms for manipulation, navigation, and control on actual robotic systems.
Collaborate with cross-functional teams to cultivate a diverse range of resilient manipulation skills for our robots.
Qualifications
Currently pursuing a PhD in Computer Science, Robotics, Electrical Engineering, Mechanical Engineering, or a related technical field.
Demonstrated passion for robotics and artificial intelligence.
Proven research experience in areas such as embodied AI, computer vision, machine learning, and human-AI interaction.
Familiarity with deep learning frameworks, particularly PyTorch.
Must possess work authorization in the U. S. by the time of hire and maintain it throughout employment.
Strong analytical, problem-solving, and communication skills.
At least 2 years of independent research experience.
In-depth knowledge of state-of-the-art robotic learning techniques, including reinforcement learning and imitation learning.
A strong publication record in leading conferences and journals such as Science Robotics, IJRR, RSS, CoRL, ICRA, NeurIPS, ICML, ICLR, and CVPR.
Experience with robot simulators like Isaac Gym, Isaac Sim, SAPIEN, MuJoCo, or Drake.
Ability to set up ML experiments and analyze their outcomes effectively.
