Contract: Full-Time, Permanent
Desired Start Date: March/April
Location: Both hybrid and remote opportunities with travel for business/project needs
About STATSports
What if the product you helped to build next week was worn by an elite athlete the week after?
At STATSports, that could be your reality.
Since 2007, we’ve grown from a small Irish start-up into the global leader in GPS performance tracking, trusted by the world’s biggest clubs, leagues, and athletes. Our technology sits at the intersection of hardware, software, and sport, helping teams optimise performance, reduce injury risk, and unlock insights that were previously impossible.
But just as importantly, our products support the next generation of athletes, from academies to grassroots, giving them access to the same performance tools as the pros.
Innovation has always driven us forward, and it’s our people who make that happen.
The Opportunity
We are expanding our data science team to include a dedicated computer vision capability. This role is ideal for a candidate who has delivered temporal multi-object tracking and detection systems and understands the full lifecycle from development through to production. You will lead the technical direction of this work, define what we build and how, and play a key role in shaping a growing computer vision team around you.
What You Will Be Doing
Leading the development of multi-object tracking and detection systems from video across multiple sports
Defining event taxonomies and annotation strategies for sports-specific training data
Building and deploying tracking pipelines, including handling occlusion, re-identification, and camera calibration
Designing the output data structures and formats that integrate with our existing GPS and IMU products
Collaborating with sports scientists, product owners, and software engineers to translate performance requirements into technical solutions
What We Are Looking For
Production experience in computer vision, with a focus on multi-object tracking and detection. Experience in sport is a strong bonus
Deep understanding of temporal reasoning across video sequences, including re-identification, track association, and handling occlusion
Experience with video-native Computer Vision pipelines
Understanding of camera geometry, pitch or court calibration, and object localisation from single or broadcast cameras
Proficiency in Python and deep learning frameworks
Experience with cloud platforms
Strong communication skills: you will work closely with non-technical stakeholders including coaches and sports scientists
Nice To Have (But Not Essential)
Computer vision experience in sports
Familiarity with how tracking and event data is structured and consumed by clubs, analysts, and performance staff
Background in biomechanics, pose estimation, or signal processing from IMU/GPS sensors
MLOps experience: model versioning, monitoring, and CI/CD for CV pipelines
What's In It For You
A hands‑on role where your work directly influences products used in elite sport
The opportunity to work with cutting‑edge datasets and develop innovative ML/AI solutions
Exposure to the full software lifecycle, from data ingestion to deployment in production
Collaboration with engineers, product owners, and data specialists in a supportive, high‑performance team
The chance to see your work applied to real‑world athlete performance and decision‑making
STATSports is an equal opportunity employer.
#J-18808-Ljbffr