Do you want your engineering skills to directly shape how athletes understand and improve their movement? Are you excited by the opportunity of turning noisy, high-dimensional data into clean, actionable biomechanical metrics used by professionals and ambitious amateurs alike? We are looking for an Algorithm Developer in Mathematical modelling to join our Motion Analysis team. You’ll work at the intersection of deep learning and real-world sports science, taking the raw output of our AI models and building the modelling and post-processing pipelines that make the data real. This is where the engineering meets the athlete. As a member of our team, you will be responsible for the key step between AI prediction and product output. Our deep learning models produce body key points from video. Your job is to turn those noisy, uncertain estimates into robust skeletal fits and reliable biomechanical metrics that our users can trust and act on. We believe it takes careful post-processing and modelling to turn raw deep learning predictions into data that is real, reliable, and actionable. You will design and develop custom algorithms that handle outlier detection, optimization, and human body model fitting, often as one integrated modelling approach rather than separate steps. You will be part of an agile, collaborative team, contributing to solutions from prototype to production and helping shape our products. You will join a team of six, with diverse backgrounds spanning deep learnin…
The full listing, requirements, and application form are on TrackMan's careers site.
Source: https://careers.trackman.com/o/algorithm-developer-in-mathematical-modelling
Aggregated from TrackMan's official careers feed, last checked 29 Jul 2026. If the role has been filled, it disappears from golfjobs.org on the next morning refresh.