Working Student — Computer Vision & Fullstack Engineer

Working Student, Computer Vision & Fullstack Engineer

Location: Hybrid / Munich

Hours: ~20h/week (working student status)

Start: ASAP

About the role

We build AI solutions for engineering, applying modern computer vision and ML to real engineering problems. You'll work across the full slice: training models, building the backend services that serve them, and shipping the interfaces engineers actually use.

What you'll work on

- Training and fine-tuning detection, OCR, and segmentation models on real and synthetic data

- Designing synthetic data and augmentation pipelines that transfer to production

- Classical CV preprocessing as fast, reliable baselines. Not everything needs a GPU

- Backend inference services and data pipelines in Python

- Packaging, deploying, and operating what you build

Must-have

- Strong CS background, BSc completed from a reputable university. MSc in progress is welcome

- High ownership. You take problems end-to-end, ship without hand-holding, and own what you build in production

Computer Vision:

- Solid grasp of modern deep-learning vision: detectors, training loops, losses, evaluation, augmentation, overfitting and regularization

- Comfortable with PyTorch

- Working knowledge of classical / legacy CV with OpenCV. You should reach for these before throwing a GPU at every problem

Fullstack & DevOps:

- Hands-on fullstack experience, frontend and backend, in real projects

- Have built and deployed something end-to-end, not just localhost

- Docker, Linux shell, SSH, bash scripting

- CI/CD experience (GitHub Actions or similar)

Nice-to-have

- Cloud-native: Azure, AWS or GCP, managed databases, object storage, IaC

- 3D vision / geometric deep learning: B-rep, STEP/IGES, OpenCASCADE, GNNs on CAD topology, point clouds, mesh processing

- Foundation models for vision (SAM, GroundingDINO, VLM finetuning)

- Interest in AI for engineering: CAD, manufacturing, technical documentation

What we offer

- Strong compensation, above-market rates for working students

- Top-tier AI tools and budget covered

- Fast-paced environment. Small team, short feedback loops, your code ships the same week

- Flexibility. Remote-friendly, hours that work around your studies