Data Science Lead (CV + ML)
Neko Health, Stockholm +2
What you need
- Extensive experience in modern computer vision and deep learning on real-world camera or sensor data, such as detection, segmentation, tracking or 3D perception, with the judgment to know when a classical or geometric method is the better tool.
- A track record of making algorithms work under messy, real-world capture conditions, such as lighting, motion, optics and calibration, and shipping them to production.
- Strong machine learning fundamentals and algorithmic thinking, with breadth beyond one niche. You pick up a new problem type quickly and know how to evaluate it properly.
- Strong software engineering skills in Python, with production-level code, testing and code review.
- 5+ years of relevant industry experience, or 2+ years post-PhD.
- Experience working in cross-functional R&D teams alongside hardware and software engineers.
- Clear communication. You can explain a trade-off to a clinician, an engineer and a manager.
- AI Fluent - confident in using latest tooling developments to increase productivity and efficiency