AI & Reinforcement Learning Engineer
6. Ecobot
Drive real-world innovation by developing reinforcement learning models for robotics and optimizing AI-powered task performance.
Responsibilities & Tasks
Develop RL models for waste sorting & task optimization
Train decision-making AI for real-world robotic applications.
General Responsibilities: Attend weekly/bi-weekly departmental & organizational RoboTUM meetings, as well as occasional spontaneous meetings as needed. Answer emails and messages within 24 hours (be comfortable using Slack). Adhere to RoboTUM policies and be willing to help when the team needs you.
Position Benefits
Hands-on experience with state-of-the-art AI models
Learn advanced AI optimization for edge devices
Work on real-world AI-powered computer vision applications
Showcase projects at AI summits & conferences
Exclusive networking with robotics companies & AI researchers
Internship & job referral opportunities through partnerships
Mininum Qualifications
Basic understanding of ML & RL fundamentals
Ideal Qualifications
Experience with Deep RL (PPO, DQN, SAC), Gym, RLlib
Strong background in TensorFlow/PyTorch
Estimated Time Commitment
6-10 hours/week