Real-Time RL Robotics Engineer (Humanoid)

Foundation Robotics Labs Inc.; San Francisco (CA); On-site; USD 100,000 - 140,000; Full time

Benefits offered by this job

Market standard benefits (health, vision, dental, 401k)

Job summary

A robotics company in San Francisco is looking for a skilled engineer in reinforcement learning. The position involves designing and optimizing algorithms for humanoid robots, ensuring integration between hardware and software. Candidates should have 2+ years of experience in machine learning, with proficiency in Python and C++. Join us for our innovative mission and collaborative culture, while contributing to cutting-edge robotics.

Qualifications

• 2+ years of experience in machine learning and reinforcement learning applied to robotics.
• Hands-on experience with physics simulation environments.
• Proficiency in Python and C++.

Responsibilities

• Design, develop, and optimize reinforcement learning algorithms.
• Integrate policies into real-world robot platforms.
• Collaborate with other teams for tight hardware-software integration.

Skills

Machine learning (NNs, LVMs)

Reinforcement learning

Python

C++

Physics simulation

Deep learning frameworks

Software development

Control theory

Education

M.Sc. or Ph.D. in Robotics, Computer Science, Mechanical Engineering

Tools

MuJoCo

PyTorch

TensorFlow

ROS/ROS2

Job description

A robotics company in San Francisco is looking for a skilled engineer in reinforcement learning. The position involves designing and optimizing algorithms for humanoid robots, ensuring integration between hardware and software. Candidates should have 2+ years of experience in machine learning, with proficiency in Python and C++. Join us for our innovative mission and collaborative culture, while contributing to cutting-edge robotics.