Senior RL Engineer - Real Robotics & Autonomy (Hybrid)

DeepRec.ai; Zürich; Hybrid; CHF 120.000 - 180.000; Vollzeit

Zusammenfassung

DeepRec.ai in Zurich is hiring a Senior Reinforcement Learning Engineer to advance learning-based planning and control for autonomous excavators and robots across sites. You will move RL from simulation into real machines, working with Python, PyTorch and C++ in a hands-on role within our hybrid Zurich office.

You’ll collaborate with the autonomy team to improve sim-to-real transfers, build data pipelines for real-world training, run experiments on hardware, and help deliver a long-lived system

Qualifikationen

• 2–5 years’ industry RL experience in control or planning.
• Proven deployment on physical robots.
• Strong Python and PyTorch, plus good C++.
• Experience with simulation and sim-to-real transfer.

Aufgaben

• Develop learning-based planning and control systems that work outside the simulator.
• Improve simulation and sim-to-real transfer pipelines.
• Run experiments on physical machines and diagnose real-world behaviours.
• Integrate learned components into the autonomy stack and shape product readiness.

Kenntnisse

Python

PyTorch

C++

RL

Tools

Python

C++

GPU-accelerated simulation

Simulation

Jobbeschreibung

DeepRec.ai in Zurich is hiring a Senior Reinforcement Learning Engineer to advance learning-based planning and control for autonomous excavators and robots across sites. You will move RL from simulation into real machines, working with Python, PyTorch and C++ in a hands-on role within our hybrid Zurich office.

You’ll collaborate with the autonomy team to improve sim-to-real transfers, build data pipelines for real-world training, run experiments on hardware, and help deliver a long-lived system