Machine learning engineer (Robotics) at Dexmate

Company DescriptionWe 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 engineers to join our founding team in advancing robot manipulation capabilities. This is a full-time on-site role in Santa Clara, CA.ResponsibilitiesDesign, implement, test, and deploy state-of-the-art learning-based manipulation/navigation/control algorithms on real robots.Build and ship reliable and high-quality software for robots.Work with other teams to develop a diverse set of robust manipulation skills for robots.QualificationsGraduate degree in Robotics, Computer Science/Engineering, Electrical Engineering, Mechanical Engineering, etc., or equivalent research experience.Passionate about working with robots and building robot products.Excellent analytical and problem-solving skillsOutstanding research/engineering skills for rapid research prototyping, open-source code release, or product development.Proficient with Python; C++ and CUDA experiences are a plus.Proficient with deep learning libraries such as PyTorch/TensorFlow/Jax.Experience with real robot experiments.Experienced with robot simulators such as Isaac Gym/ Isaac Sim/ SAPIEN/ MuJoCo/Drake, etc.Experienced with robot learning techniques (reinforcement learning, imitation learning, etc.)A track record of research excellence with your work published in top conferences and journals such as Science Robotics, IJRR, RSS, CoRL, ICRA, NeurIPS, ICML, ICLR, CVPR, etc.Bonus QualificationsHands-on experience with robot learning algorithm development, training foundation models, LLM, and large generative models is a plus.Hands-on experience with real robot arms/hands/legs is a plus.Deep knowledge of robotics (kinematics, dynamics, control, SLAM, etc.) is a plus.Experience with deploying AI models onto NVIDIA Jetson/DRIVE embedded systems is a plus.