Jobs

    Tech Lead AI Squad - Deutschland - Floy

    Floy
    Floy Deutschland

    vor 2 Wochen

    Default job background
    Beschreibung

    YOUR MISSION

    We are seeking a highly skilled and experienced Engineer to join our team.

    Floy is supporting radiologists by boosting their diagnostics efforts with unconventional AI products focused on overlooked diseases. You will lead a fast-paced scientific team tasked to develop innovative algorithms to solve unexplored radiological diagnostics problems. This means that you are experienced with the latest ML/DL techniques in medical image processing (and computer vision), can think out-of-the-box, have the ability to understand the biology of various pathologies, the physics of different signal-acquisitions (CT, MRI, etc.), and to plan and execute R&D tasks with your team independently and passionately.

    The goal is to push beyond the boundaries of the typically researched medical problems and build state-of-the-art models that provide a tangible benefit to real-world patients. Together with a medical product manager, you own the model development from inception to clinical release. Where applicable, patents and publications in leading conferences/journals are encouraged.

    YOUR RESPONSIBILITIES

    • Lead and guide a team of engineers to develop innovative and cutting-edge ML products for radiological image diagnostics end-to-end
    • Shape a patient-focused product definition in close collaboration with the medical product manager
    • Generate intellectual property for Floy by pushing it's abilities beyond the published SOTA and other competing companies
    • Process large medical image datasets for various modalities (CT, MRI, etc.) in different formats (DICOM, NIFTI, etc.)
    • Read, understand, and stay abreast with the published literature on various medical image processing & computer vision topics
    • Write patents and publish in scientific journals/conferences
    • Interact with and learn from radiologists and medical doctors
    • Understand biology and physics to comprehend organs, their pathologies, and the measuring abilities of various imaging modalities (CT, MRI, etc.)

    WHAT ARE WE LOOKING FOR?

    • PhD or Master's degree in Computer Science or equivalent experience in a related field
    • Previous position, thesis, or coursework in medical image processing (or computer vision) with DL
    • A keen eye for detail and a commitment to scientific accuracy
    • Excellent written and verbal communication skills in the English language
    • Strong commitment to teamwork and communication skills
    • Stack: PyTorch and preferably MONAI (TensorFlow also acceptable)

    Good-to-have:

    • Related publication (preferably in a conference such as MICCAI, ISBI, CVPR, ICCV, ECCV, ICIP, etc.)

    We are looking for brilliant, hard-working people who strive to become recognised thought leaders in their domain. If you enjoy learning new things and thrive in a fast-paced environment, we would love to meet you. Together, we will continuously tailor the role to your strengths and development goals.

    WHY US

    Pioneer medical AI to maximize human health. Become part of an ambitious team valuing individuals, dedication and a joyful work experience. Solve novel challenges with life-saving implications.

    • We accelerate your learning with rapid feedback and inspiring problems
    • We give you autonomy, flexibility, and the opportunity to connect with our generation's brightest minds
    • We provide flexible remote team culture, fun team events, and fair compensation

    ABOUT US

    Floy is on a mission to build the infrastructure for personalized health. Today, our AI products help radiologists to detect typically overlooked diseases. We envision a future where everybody can access annual holistic health assessments to prevent diseases through early detection.

    Leander and Benedikt founded Floy in June 2021 and raised 8.8m€ total funding from Europe's leading investors. Over the last months, the team grew to 35 exceptional people. Our pace only accelerates from here.



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