Data Science Lead (CV + ML)

The role

You will develop, validate, and deploy computer vision and ML algorithms for clinical decision support. You will work with hardware engineers, software engineers, and clinical scientists to deliver models into production.

What you will do

• Develop, verify, validate and deploy computer vision and ML algorithms for clinical decision support.
• Own problems end to end from modeling to production.
• Work with hardware engineers, software engineers, medical doctors and clinical researchers.
• Combine classical, geometric and learned methods and evaluate them rigorously.
• Analyse clinical study data and support regulatory readiness.
• Deliver production-quality code and integrate it into backend infrastructure.
• Mentor colleagues, review code and designs.

Required qualifications

• Extensive experience in modern computer vision and deep learning on real-world camera or sensor data.
• Track record of making algorithms work under messy, real-world capture conditions and shipping them to production.
• Strong machine learning fundamentals and algorithmic thinking.
• Strong software engineering skills in Python, with production-level code, testing and code review.
• 5+ years of relevant industry experience, or 2+ years post-PhD.
• Experience working in cross-functional R&D teams alongside hardware and software engineers.
• Clear communication.
• AI Fluent - confident in using latest tooling developments to increase productivity and efficiency.
• MSc or PhD in Computer Vision, Machine Learning, Computer Science, Physics, Engineering or a related field.
• Motivated to apply strong science to improve preventative healthcare.

Nice to have

• Experience with multi-view geometry or matching across views and time, such as tracking, registration, calibration, SLAM or re-identification.
• Experience with 3D vision or reconstruction.
• Experience with label-efficient learning (semi-supervised, self-supervised, pseudo-labelling) and large-scale data pipelines.
• Experience with sensor fusion, state estimation or filtering, or with non-RGB imaging such as thermal.
• Experience teaching or mentoring engineers or researchers in high-growth, mission-driven organisations.
• Exposure to safety-critical or regulated settings.

About the company

Neko is redefining what prevention means, from treating illness when it arrives, to sustaining health before it's ever at risk. The mission is to make data-driven, preventative care accessible to more people, before symptoms appear.