The company is looking to develop scalable robotic systems aimed at achieving general-purpose robotic intelligence.
Requirements
- Proficiency in Python and at least one deep learning library such as PyTorch, TensorFlow, JAX, etc.
- Deep technical knowledge, and research experience in deep learning, reinforcement and/or imitation learning, robotics, or computer vision
- Experience working with robot systems and large-scale model training
Responsibilities
- Develop and implement new algorithms for training and optimizing general-purpose robot foundation models
- Design and engineer systems to scale research from prototypes to fully deployable solutions, working with large-scale systems and datasets
- Conduct cutting edge research across multiple disciplines (Perception, Robotics, RL/ IL, Machine Learning, etc.)
- Collaborate with a multidisciplinary team, contributing to the integration of research insights into practical robotics applications
- Optimize machine learning models for real-world robotic systems
Other
- BS, MS or PhD degree in Computer Science, Robotics, Engineering or a related field, or equivalent practical experience
- Strong track record of publishing papers and/or deploying real-world applications
