Senior ML Engineer, Robotics & Sim2Real

cyberwave digital agency; Zürich; Hybrid; CHF 120.000 - 150.000; Vollzeit

Benefits dieser Stelle

Flexible work culture

Equity options

Remote work support

Zusammenfassung

Cyberwave, a Zurich-based AI robotics team, seeks a Machine Learning Engineer to develop and deploy ML models for real-world robotics, focusing on deep learning, reinforcement learning, and sim2real transfer.

You'll work with software, robotics, and hardware teams to learn in simulation and perform in the real world, using PyTorch, MuJoCo, and ROS in a flexible, fast-paced environment.

Qualifikationen

• Degree in Computer Science, Robotics, AI, or related field with strong mathematical foundation.
• 3+ years of hands-on ML/deep learning model development and deployment.
• Expertise in reinforcement learning and sim-to-real transfer techniques.
• Practical experience with physics-based simulators and robotics hardware.

Aufgaben

• Develop deep learning and reinforcement learning policies for perception, control, and decision-making.
• Design and optimize ML models for real-world robotics in dynamic environments.
• Develop RL agents in simulated environments (MuJoCo, Isaac Sim, PyBullet).
• Lead sim2real transfer with domain randomization and robust policy learning.
• Deploy end-to-end ML pipelines integrated with robotics and embedded systems.

Kenntnisse

Python

C++

Reinforcement learning

Deep learning

Robotics

Experimentation

Ausbildung

BSc/ MSc/ PhD in CS/ Robotics/ AI

Tools

PyTorch

TensorFlow

JAX

MuJoCo

Isaac Sim

PyBullet

ROS / ROS 2

Jobbeschreibung

Cyberwave, a Zurich-based AI robotics team, seeks a Machine Learning Engineer to develop and deploy ML models for real-world robotics, focusing on deep learning, reinforcement learning, and sim2real transfer.

You'll work with software, robotics, and hardware teams to learn in simulation and perform in the real world, using PyTorch, MuJoCo, and ROS in a flexible, fast-paced environment.