Research Scientist

Highlights

• Build general-purpose robotic intelligence that adapts to unseen scenarios.
• Lead development of next-generation techniques advancing robotic system capabilities.
• Develop algorithms for training general-purpose robot foundation models.

Ideal candidate

Passionate explorer eager to push boundaries in robotics and see research become real-world impact, with a track record of discovering scalable solutions.

Requirements

• PhD degree in Computer Science, Robotics, Engineering or a related field, or equivalent practical experience
• Multiple years of experience in conducting research
• Proficiency in Python and at least one deep learning library such as PyTorch, TensorFlow, JAX, etc.
• Publications at top-tier ML, robotics, or CV conferences (e.g., NeurIPS, ICML, ICLR, CoRL, RSS, ICRA, CVPR, ECCV, ICCV)
• Deep technical knowledge, and research experience in deep learning, reinforcement learning, robotics, or computer vision
• Deep understanding of state-of-the-art machine learning techniques and models
• Experience working with robot systems
• Experience working with large-scale model training and systems