Computer Vision Engineer
6. Ecobot
Develop real-time computer vision models and optimize AI for efficient waste detection and classification in robotics applications.
Responsibilities & Tasks
Build real-time waste detection models with YOLOv8 & OpenCV
Train AI to classify recyclables vs. non-recyclables
Optimize image processing & segmentation for efficiency
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
Knowledge in ML & Image Processing
Ideal Qualifications
Strong background in computer vision (OpenCV, YOLO, TensorFlow/PyTorch)
Experience with edge AI deployment (Jetson Nano, Coral TPU)
Estimated Time Commitment:
6-10 hours/week