BS, MS, or PhD in Computer Science, Robotics, Engineering, or related field, or equivalent experience.
Proficiency in Python and at least one deep learning library (e.g., PyTorch, TensorFlow, JAX).
Strong publication record or experience deploying real-world applications.
Deep technical knowledge in deep learning, reinforcement learning, imitation learning, robotics, or computer vision.
Experience with robot systems and large-scale model training.
Responsibilities
Develop and implement algorithms for training and optimizing robot foundation models.
Design systems to scale research from prototypes to deployable solutions.
Conduct research across disciplines like Perception, Robotics, and Machine Learning.
Collaborate with a multidisciplinary team to integrate research into practical applications.
Optimize machine learning models for real-world robotic systems.
Benefits
Opportunity to work on cutting-edge technology in robotics and AI.
Collaborative environment with a multidisciplinary team.
Engagement in impactful research that translates into real-world applications.
Access to state-of-the-art resources and tools for development.
Full Job Description
Position Overview
We are hiring Research Engineers to develop scalable robotic systems aimed at achieving general-purpose robotic intelligence. In this role, you'll work with researchers and engineers to implement state-of-the-art machine learning and robot systems. The ideal candidate has a strong technical background, experience in turning research into practical solutions, and a drive to build impactful applications. 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.
