Job Description
Company Description
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.
As a Machine Learning Engineer within Snke you will use your strong background in machine learning and software engineering to shape the future of our product portfolio, helping us deliver next-generation patient-specific anatomical modelling solutions for precision medicine.
Job Description
- Develop and apply machine learning-based solutions for various tasks in 2D and 3D medical image analysis (e.g., image segmentation, landmark detection, object detection, and more)
- Push the boundaries of intelligent software components for medical procedure support, leveraging the growing availability of medical data
- Drive your creative ideas from initial prototypes to final product release
- Collaborate with a diverse team on challenging projects, building robust and scalable software while continuously learning from your colleagues
- Contribute to improving the daily work of medical professionals worldwide
Qualifications
- Degree in Computer Science, Mathematics, Physics, or a related field
- Ideally a PhD or relevant industry experience in a similar domain
- Experience working on AI-based products in the medical technology industry is a plus
- Proven track record of developing machine learning methods and computer vision algorithms to solve complex problems
- Strong curiosity for the details of machine learning approaches and the ability to adapt and improve them
- Familiarity with modern ML tooling, such as experiment management, containerization, orchestration, data processing pipelines, and data version control, is a plus
- Strong interest in and solid understanding of software engineering principles
- Proficiency in Python and basic knowledge of C++
- Fluency in English
Additional Information
- A supportive, international team connected by shared values and a culture of trust
- Meaningful responsibilities with a lasting impact on global healthtech, improving medical decisions and patient outcomes
- 30 vacation days, plus December 24th and December 31st
- Flexible working hours and a hybrid work model within Germany
- Bike leasing via our partner “BikeLeasing”
- Parking garage and secure underground bike storage
- Subsidized company restaurant and in-house café
- Urban Sports Club membership with employer contribution
- Regular after-work, team, and company events
- Centrally located, modern workspace with a 212 m² rooftop terrace
Ready to apply? We look forward to receiving your online application including your first available start date.
Contact person: Tatjana von Freyberg
