Robotics RL Engineer - Locomotion & Autonomy Internship

Laelaps AI Ltd.; Zürich; Vor Ort; CHF 22.000 - 29.000; Vollzeit

Benefits dieser Stelle

Competitive equity/salary package

Zusammenfassung

Laelaps AI Ltd. in Zürich is seeking a Reinforcement Learning Intern to train locomotion and low-level control policies for legged security robots, bridging simulation and real hardware.

You will design training setups, run experiments in simulation, and transfer policies to physical robots, addressing real-world robustness and weather challenges. Join a hands-on, entrepreneurial team in a fast-moving startup.

Qualifikationen

• Pursuing a PhD or recently completed Master’s in Robotics, ML, CS or related field.

Aufgaben

• Train and evaluate reinforcement learning policies for locomotion and low-level control in simulation.
• Apply sim-to-real techniques and test on physical robots.
• Make policies robust to varied terrain, weather, and sensor data.
• Build evaluation workflows with clear metrics in simulation and on hardware.
• Follow solid engineering practices: experiment tracking, version control, reproducible training runs.

Kenntnisse

Robotics

Machine Learning

Reinforcement Learning

Python

PyTorch

Git

Docker

C++

ROS 2

Ausbildung

Master's degree in Robotics or related field

PhD candidate or PhD

Tools

Gazebo

MuJoCo

Isaac Sim

ROS 2

Jobbeschreibung

Laelaps AI Ltd. in Zürich is seeking a Reinforcement Learning Intern to train locomotion and low-level control policies for legged security robots, bridging simulation and real hardware.

You will design training setups, run experiments in simulation, and transfer policies to physical robots, addressing real-world robustness and weather challenges. Join a hands-on, entrepreneurial team in a fast-moving startup.