Machine Learning Working Student (all genders) - Hybrid, Berlin
Core
Developing computer vision and NLP models to estimate solar panel capacity on roofs and analyze legal document effectiveness. (via careerplan.io/jobs/239760-machine-learning-working-student-all-genders-hybrid-berlin-at-dida)
Role type
Machine Learning Working Student
Builds
Production ML models for solar estimation and legal text analysis
Domain
Renewable energy + Legal tech
Deliverable
production ML models
Required skills
Computer Vision, NLP, 3D reconstruction from 2D images, OCR, text classification, problem modeling
Preferred skills
Satellite imagery analysis, legal domain knowledge
Technologies
Python, PyTorch/TensorFlow, OpenCV, Tesseract, Hugging Face
Responsibilities
Derive 3D information from 2D images to determine roof slope; Convert document scans to text; Develop labeling schemas for legal text classification; Automatically detect and classify legal paragraphs.
Seniority
Student
