Computer Vision Engineer

About the role

As a Computer Vision Engineer, you build the models that turn technical drawings into usable data: dimensions, tolerances, GD&T, surface specifications, welding symbols, bills of materials. You work at the heart of our product and help decide how far our automation can go.

What you'll do

• Develop and train models for detection, classification, and segmentation of elements on technical drawings, from individual dimension entries to GD&T symbols to complete title blocks and bills of materials.
• Build robust OCR pipelines that handle the peculiarities of technical drawings: special characters, rotated text, low resolutions, scanned originals, mixed fonts, and safety-critical dimensions.
• Work on models that understand the structure of a drawing, which annotation belongs to which dimension, and where title blocks end and bills of materials begin, using modern Document-AI approaches and vision-language models.
• Help decide which data we need, how we collect and annotate it, and where synthetic data can meaningfully extend our training set.
• Define meaningful metrics, build evaluation pipelines, and systematically analyze failure cases to derive the next training cycles.
• Bring your models into production with the engineering team, optimizing for latency, cost, and stability alongside accuracy.
• Work closely with the rest of the ML team on hybrid approaches in which vision models and rule-based evaluation go hand in hand.

What you'll need

• Several years of experience in computer vision and deep learning, ideally in a production environment.
• Strong command of Python and one of the common DL frameworks (PyTorch preferred).
• Practical experience with object detection, segmentation, and/or OCR, including training, evaluation, and deployment of your own models.
• Familiarity with modern architectures (e.g. DETR, YOLO variants, SAM, LayoutLM, Donut) and a sense of when which approach fits.
• Structured, results-oriented way of working; you don't just build models, you bring them into production.
• Basic understanding of MLOps topics: versioning, reproducibility, monitoring of models in live operation.
• Business-fluent German or English skills.

Nice to have

• Experience working with documents (PDFs, scans).
• Experience with technical drawings, plans, or engineering documents.

What they offer

• 30 vacation days per year (based on a 5-day week), plus December 24th off and all local public holidays.
• New computer (Mac or Windows) and all tools needed to be effective.
• AI-enabled internal tools and workflows, including Claude Code or Cursor license support.
• Strong feedback culture and investment in personal and professional development.
• Flat hierarchy and high-trust environment with ownership from day one.