Junior Machine Learning Engineer
We are looking for a Junior Machine Learning Engineer to help develop AI models for retinal image analysis.
You will work across the ML workflow, from image data and preprocessing to training, validation, and documentation. You will work closely with experienced ML engineers, clinical experts and product stakeholders in a small team where your contribution matters.
A relevant degree in ML, computer science, engineering physics, medical engineering or similar
Up to two years of relevant experience
Practical experience with ML and computer vision or image analysis
Strong Python skills and a structured approach to experiments and data
Medtech, healthcare or medical imaging experience is strongly meriting
- Remote status
- Hybrid
About Eyedentity
Eyedentity is a Swedish medtech company building AI-driven diagnostics that catch disease earlier, starting with uveal melanoma, a rare but often deadly eye cancer. Our technology analyzes fundus images taken during routine visits to the optician, flagging warning signs long before they'd otherwise be caught.
Eyedentity is built on research from Karolinska Institutet and grounded in real clinical expertise. We're backed by leading investors, including Norrsken Launcher and Karolinska Institutet Holding, and are on track for CE approval, with commercial partnerships already in place across the optician industry.
We're a small, fast-moving team where deep clinical and technical expertise meet genuine ambition: to make early, life-saving detection a normal part of an everyday eye exam. As we grow, we're looking for people who want to build something that matters, and see the impact of their work show up in patients' lives.