9 months ago
Responsibilities
- Design, build, and deploy real-world robot learning systems across manipulation, locomotion, and control.
- Own robotics systems end to end, including simulation, data processing, model training, and deployment on real robots.
- Apply classical robotics and learning-based approaches while evaluating their trade-offs.
- Iterate robotics systems from 0 to 1 using feedback from real-world operation.
- Work with high-degree-of-freedom manipulators and mobile robots in simulation and on physical hardware.
- Contribute to technical foundations supporting large-scale robot learning and pursue state-of-the-art robotics techniques.
Requirements
- Bachelor's degree or equivalent experience in robotics, computer science, or a related field.
- Strong experience with Python and modern deep learning frameworks such as PyTorch or JAX.
- Full-stack experience across robot learning, including data processing, model training, and deployment.
- Experience designing, implementing, and deploying robot learning systems in research or production environments.
- Strong understanding of classical robotics techniques, learning-based approaches, and their trade-offs.
- Hands-on experience in one or more of robot manipulation, locomotion, navigation algorithms, imitation learning, generative modeling, or reinforcement learning.
- Ability to work across simulation and real hardware, including high-degree-of-freedom manipulators and mobile robots.
- Passion for robotics, state-of-the-art research, and working in fast-paced, ambiguous environments.
Categories
ML EngineeringRobotics