Research Engineer
Core
Developing scalable robotic systems and general-purpose robot foundation models using data-driven machine learning.
Role type
Research Engineer (Robotics & ML)
Builds
Scalable robotic systems and robot foundation models
Domain
Robotics, Machine Learning, Reinforcement Learning
Deliverable
production ML models | product features
Required skills
Python, deep learning libraries (PyTorch/TensorFlow/JAX), algorithm development, system design for scaling, large-scale model training, robotics systems integration
Preferred skills
PhD or equivalent in CS/Robotics, track record of publishing papers, experience deploying real-world applications, deep learning/RL/robotics/CV expertise
Technologies
Python, PyTorch, TensorFlow, JAX
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; Conduct cutting edge research across multiple disciplines (Perception, Robotics, RL/IL, Machine Learning); Optimize machine learning models for real-world robotic systems
Seniority
Individual Contributor (IC), Research-focused
