(Senior) Machine Learning Engineer
Founded in 2020 and headquartered in Munich, Snke is transforming healthtech with scalable, data-driven innovation powered by AI and big data analytics. We're experts specializing in large platforms, digital health and software-driven medical technology. By delivering a trusted orchestration layer, Snke empowers healthcare providers, societies, registries, agencies and all partners to deploy cutting-edge solutions for safe and efficient interventions and enhances patient outcomes. Beyond our Munich headquarters, we have core teams in Chicago, Heidelberg, San Diego and Tel Aviv. Snke fosters global collaboration to create technologies that are smart, enablin and holistic—helping healthcare providers deliver meaningful change.
Job Description
We are seeking a (Senior) Machine Learning Engineer with strong background in machine learning and software engineering to shape the future of our product portfolio.
In this position, you will
- work on learning-based solutions for a variety of tasks in medical image analysis (e.g. image segmentation, landmark detection, object detection, and more)
- push the limits of intelligent software components for medical procedure support, making use of the ever increasing amounts of medical data
- drive your creative ideas from initial prototypes to final product release
- learn together with your colleagues by working on challenging projects
- ultimately impact the daily work of medical professionals around the world
Qualifications
- Education in Computer Science, Mathematics, Physics, or a similar background
- Ideally, PhD or industry experience in a relevant area
- Demonstrated experience in using machine learning methods and computer vision algorithms to solve challenging problems
- Interest in details of machine learning methods and ability to adapt them
- Strong interest and skills in software engineering
- Strong knowledge of Python and at least basic knowledge of C++
- Eagerness to develop robust and scalable software as part of a diverse team
- Fluency in English
Additional Information
- A mutually-supportive, international team
- Opportunity to build career experience in an exciting international company with a lasting impact on medical technology based in Munich
- Flexible working hours
- Secure bicycle storage room
- Subsidized catering service
- Subsidized Gold Gym membership and access to Brainlab headquarters modern gym
- Centrally located, modern work spaces with a great212m² roof terrace
Ready to apply? We look forward to receiving your online application including your first available start date.