Senior Data Scientist (Computer Vision)

Location: Hybrid in Stockholm, Berlin, or London

Company

hirify.global develops non-invasive body scanning technology and clinical care solutions that provide data-driven, preventative health insights.

What you will do

• Develop, verify, validate, and deploy computer vision and machine learning algorithms for clinical decision support.
• Own problems end to end, from messy real-world imaging data and modelling through evaluation and production deployment.
• Collaborate with hardware engineers, software engineers, medical doctors, clinical researchers, and data scientists.
• Combine classical, geometric, semi-supervised, self-supervised, and weakly supervised methods where appropriate.
• Analyse clinical study data, support regulatory readiness, and integrate production-quality code into backend infrastructure.
• Mentor colleagues, review code and designs, and contribute to continuous improvement.

Requirements

• Extensive experience with modern computer vision and deep learning on real-world camera or sensor data, including detection, segmentation, tracking, or 3D perception.
• Experience making algorithms robust to lighting, motion, optics, calibration, and other real-world capture conditions, and shipping them to production.
• Strong machine learning fundamentals, algorithmic thinking, and the ability to evaluate new problem types rigorously.
• Strong production-level software engineering skills in Python, including testing and code review.
• 5+ years of relevant industry experience or 2+ years of experience after a PhD.
• Experience in cross-functional R&D teams and a master's or PhD in computer vision, machine learning, computer science, physics, engineering, or a related field.

Nice to have

• Experience with multi-view geometry, tracking, registration, calibration, SLAM, or re-identification.
• Experience with 3D vision, reconstruction, label-efficient learning, or large-scale data pipelines.
• Experience with sensor fusion, state estimation, filtering, or non-RGB imaging such as thermal imaging.
• Experience mentoring engineers or researchers in high-growth, mission-driven organisations.
• Exposure to safety-critical or regulated environments.

Culture & Benefits

• Work in a member-first, mission-driven environment focused on preventative healthcare.
• Collaborate across engineering, clinical, research, and hardware disciplines.
• Use modern AI tooling to improve productivity while retaining technical judgment and ownership.
• Contribute to an open culture of knowledge sharing, code review, mentoring, and continuous improvement.