Love applied machine learning and technical architectureYou enjoy designing scalable systems and turning complex technical ideas into practical solutions.
Think in systems and implementation strategyYou naturally balance innovation, scalability, maintainability, and delivery requirements.
Stay hands-on technicallyYou enjoy prototyping, validating ideas through code, and supporting engineers with difficult technical challenges.
Collaborate naturallyYou can communicate technical approaches clearly across disciplines and with non-technical stakeholders.
Care about quality and reusabilityYou value maintainable systems, reusable tooling, and strong engineering standards.
Stay curiousYou actively follow developments in machine learning, cloud infrastructure, and modern engineering practices.
Your Background
You don’t need to tick every box, but we’re generally looking for:
Strong experience in machine learning engineering, software architecture, or technical leadershipDeep expertise in a relevant technical domain such as ML systems, data pipelines, backend engineering, or cloud infrastructureExperience deploying ML systems into production, including serving, monitoring, and retrainingFamiliarity with MLOps tooling such as MLflow, CI/CD workflows, and model monitoringExperience with AWS, Azure, or GCPExperience with sequence models (e.g. transformers, RNNs) or generative models (e.g. diffusion, flow, or GANs) — applied to any domain; experience with spatiotemporal, time-series, or motion/trajectory data is a strong plus.Hands-on experience building and training deep learning models in PyTorchStrong understanding of scalable APIs, cloud-native systems, and modern engineering practicesExperience creating Proof of Concepts and evaluating technical approachesAbility to communicate technical solutions clearly to technical and non-technical audiencesExperience collaborating across multidisciplinary engineering teamsExperience deploying ML models into production environmentsFamiliarity with MLOps tooling such as MLflow, CI/CD workflows, and model monitoringExperience with AWS, Azure, or GCPUnderstanding of real-time systems, motion synthesis, or 3D graphics pipelinesExperience with Unity or other game enginesInterest in football or team sportsWhy Level Up Your Career at Beyond Sports
Fast-moving, creative, and technically ambitious — that’s our world.
High impact: Your work helps shape how millions experience sports globallyTechnical ownership: Influence implementation strategy, architecture, and engineering standardsHands-on innovation: Build POCs and help define the future of our ML systemsConstant learning: From machine learning research to real-time 3D systems, there’s always something newReal collaboration: Engineers, artists, ML specialists, and product teams working side by sideAnd we make sure it’s a great place to work:
25 days of paid leave per yearPension programLunch includedGym card - Alkmaar OnlyFresh fruit, great coffee, and Friday drinksBi-monthly team outingsOffice games like FIFA, chess, and ping-pongSony Benefits and much more!Ready to Build the Future of Sports?
If you’re excited about shaping machine learning architecture, solving complex technical challenges, and building systems that transform how fans experience sports — we’d love to hear from you.
At Beyond Sports, you won’t just design technical solutions.
You’ll help bring sports to life.
