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Home  | English Speaking Jobs  | RYVER.AI  | Student AI Engineer
  • Munich

  • We are an early stage tech startup from Munich on a mission to make medical AI safe for every patient. Backed by leading HealthTech Investors (e.g. Nina Capital) we are working on the frontier of generative AI (e.g. Guided Diffusion), building a platform to generate diverse sets of synthetic medical images like CT, MRI, or XRay.

    Aufgaben

    • You will support the whole process from R&D to implementing production-ready models
    • Help with research on the latest generative AI models (e.g. Guided Diffusion, …)
    • Test and benchmark different machine learning methods
    • Implement the best methods in a robust way and bring it into production with your team
    • Implement MLOps and DevOps pipelines for internal experimentation and production
    • Support the preprocessing of medical image data

    Qualifikation

    • You are currently enrolled in Computer Science or similar studies (preferably Master's)
    • You can commit 6 months for a full-time internship
    • You are well versed in ML concepts like deep neural nets or alike
    • You have strong coding skills in Python (esp. PyTorch, TensorFlow, and Pandas)
    • First experience with medical imaging data or synthetic image generation is a plus
    • You are eager to learn more about modern ML approaches
    • You feel comfortable in the dynamic environment of a tech startup
    • You are a self-starter with the ability to work independently
    • You can communicate effectively in English (German is a plus)

    Benefits

    💪🏼 At RYVER we aim to create an environment where everyone can strive to be their best self - professionally and personally.
    🌈 We are a diverse team and strive to become even more diverse. We truly believe that this is the key to building great things. Please don’t hesitate to tell us your story.

    • Work on exciting new tech that changes the world for the better
    • Investment in your development as an AI Engineer/Data Scientist and as a person
    • Experience a fast-paced startup in its earliest stages

    Start: ASAP