PhD in Computer Science, Robotics, Engineering, or related field, or equivalent experience.
Several years of research experience in relevant fields.
Proficient in Python and at least one deep learning library (e.g., PyTorch, TensorFlow, JAX).
Published in top-tier ML, robotics, or CV conferences (e.g., NeurIPS, ICML, CVPR).
Strong technical knowledge in deep learning, reinforcement learning, robotics, or computer vision.
In-depth understanding of state-of-the-art machine learning techniques.
Experience with robot systems and large-scale model training.
Responsibilities
Develop new algorithms for training general-purpose robot foundation models.
Conduct cutting-edge research across disciplines like Perception, Robotics, and Machine Learning.
Collaborate with a team to enhance the cohesive research strategy.
Drive innovation and technological advancements within the company.
Transform research findings into impactful applications.
Benefits
Collaborative work environment with talented researchers and engineers.
Opportunity to lead innovative projects in robotics and machine learning.
Access to cutting-edge technology and resources.
Potential for significant impact on the future of robotic systems.
Full Job Description
Position Overview
We are looking for Research Scientists to lead the effort in developing the next generation of techniques to advance the capabilities of our robotic systems. We are looking for people with proven expertise in machine learning and/or robotics, who are passionate about pushing the boundaries of what is possible. You will collaborate with a team of talented researchers and engineers, and enhance our cohesive research strategy, driving ongoing innovation and technological advancements within the company. The ideal candidate will have a track record of discovering fundamental, scalable solutions, and a passion for seeing their research transform into impactful applications. Responsibilities
Develop new algorithms and methods for training general-purpose robot foundation models.
Conduct cutting edge research across multiple disciplines (Perception, Robotics, RL / IL, Machine Learning, etc.).
Work with large scale systems and large-scale model training.
Preferred Qualifications
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.
