Tech Lead AI Squad

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Your mission

We are seeking a highly skilled and experienced tech lead 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 its 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
• Strong understanding of machine learning and data science concepts
• 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
• Proficiency in the Python deep learning and scientific stack

Good-to-have:

• Related publications (preferably in a conference such as MICCAI, ISBI, CVPR, ICCV, ECCV, ICIP, NeurIPS, ICLR, ICML, etc.)
• Experience with MLOps and reproducible experiment management

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, weekly 1:1 sessions 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, company retreats 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.

Floy was founded in June 2021 and raised 8.8m€ total funding from Europe’s leading investors. Over the last months, the team grew to 45 exceptional people. Our pace only accelerates from here.

Seniority level

• Mid-Senior level

Employment type

• Full-time
• Industries: Software Development