Foundation Robotics ยท 1 month ago
Machine learning & robotics engineer
San Francisco, CA
Full-time
Onsite
Entry, Mid Level
$80K/yr - $1,000K/yr
2+ years expFoundation Robotics is developing the future of general purpose robotics to address the labor shortage. They are seeking a Machine Learning & Robotics Engineer to design, develop, and optimize reinforcement learning algorithms for humanoid robots, collaborating with various teams to ensure integration between hardware and software.
Higher Education
Responsibilities
Design, develop, and optimize reinforcement learning algorithms for real-time control and locomotion of humanoid robots
Integrate learned policies into real-world robot platforms with hardware-in-the-loop validation
Collaborate with mechanical, perception, and embedded systems teams to ensure tight integration between hardware and software
Apply advanced techniques such as curriculum learning, domain randomization, and sim2real transfer to improve policy generalization
Analyze and optimize control performance with a focus on robustness, energy efficiency, and adaptability
Contribute to the continuous development of our in-house RL training pipelines and tooling
Qualification
Required
2+ years of experience in reinforcement learning applied to robotics or control systems
Strong understanding of classical and modern control theory, locomotion dynamics, and optimization techniques
Hands-on experience with physics simulation environments (e.g., MuJoCo, Isaac Gym, PyBullet)
Proficiency in Python and/or C++ for algorithm development and deployment
Experience with deep learning frameworks (e.g., PyTorch, TensorFlow)
Familiarity with ROS/ROS2 and real-time robotic systems
2+ years of experience in machine learning (NNs, LVMs) and reinforcement learning applied to robotics or similar realtime environments
Hands-on experience with physics simulation environments (e.g., MuJoCo, Isaac Lab)
Proficiency in Python and C++ for algorithm development and deployment
Experience with deep learning frameworks (e.g., PyTorch, JAX, TensorFlow)
Familiarity with ROS/ROS2 and real-time robotic systems
Strong software development experience, including CI/CD, unit testing, etc
Experience deploying RL algorithms on physical robots
Experience with high-performance computing for distributed training
Contributions to open-source RL or robotics projects
M.Sc. or Ph.D. in Robotics, Computer Science, Mechanical Engineering, or a related field
Benefits
Health
Vision
Dental
401k
Company
Foundation Robotics
Learn Robotics is an upcoming webapp for lecturers and instructors of robotics courses at the bachelors and masters level.
0-1 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase