Research Engineer

Roles and 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.

Preferred Qualifications:

• BS, MS or PhD degree in Computer Science, Robotics, Engineering or a related field, or equivalent practical experience.
• Proficiency in Python and at least one deep learning library such as PyTorch, TensorFlow, JAX, etc.
• Strong track record of publishing papers and/or deploying real-world applications.
• 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.