At SkinVision, we are on a mission to save the lives of 250,000 people in the next ten years by revolutionizing the way we care about our skin. Our technology mobilizes and empowers consumers to act on and manage their skin health, enabling a connection between our customers and the health system. If you’d like to be part of a team of a rapidly growing international startup in the health sector, please read on.
Our team is looking for a Machine Learning (ML) engineer that believes in what the SkinVision technology can mean for millions of people around the world and who is interested in solving a real world problem with machine learning. In this role, you will be helping us to take the next step in streamlining and optimising our training, testing and evaluation infrastructures. Furthermore, your creativity will be needed to apply ML in new ways to improve the accuracy and usability of our service.
We are looking for someone to complement our in-house research team to bridge the gap between greenfield research and production. In this role, there is more emphasis on collecting, electing, and improving data than on developing new models. Therefore, your experience and understanding of the problems in real-world application of machine learning, not just on academic test sets are extremely important.
What you will bring in
Do you want to make a difference in the world by joining an energetic team based in Amsterdam? We look forward to receiving your application.
(This position is for the Amsterdam office - we unfortunately cannot accommodate remote contributors at this moment. No recruiters please)