🛠 Tech Stack

💼 About This Role

You'll join the AI engineering team to develop and implement reinforcement learning algorithms for robotic systems at RIVR, a Swiss robotics company. You'll extend the software stack to evaluate algorithms in simulation and on hardware, gaining hands-on experience in a dynamic environment.

🎯 What You'll Do

• Develop, debug, and test reinforcement learning algorithms for robotic applications
• Integrate software with hardware components under senior engineer guidance
• Contribute ideas to enhance system performance
• Engage in continuous learning from recent RL literature

📋 Requirements

• At least BSc in Robotics, Engineering, CS or equivalent
• Previous coursework or projects in reinforcement learning or learning-based control
• Proficiency in Python and a deep learning framework like PyTorch, Jax, or TensorFlow

✨ Nice to Have

• Proven experience implementing reinforcement learning algorithms
• Familiarity with modern simulation frameworks like IsaacSim

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Call· 30 min
2. 2Technical Interview· 60 min
3. 3Offer· 30 min

🚩 Heads Up

• Only accepts applicants from Schengen Area or compulsory internships from ETHZ/EPFL