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About the Role
As a Team Architect (Machine Learning Focus), you’ll act as the specialist technical authority within your discipline, helping shape the architecture, technical direction, and implementation strategy behind our ML-driven products and platforms. You’ll work closely with Machine Learning Engineers, Tech Leads, Product teams, and other Team Architects to design intelligent systems that transform live sports data into immersive digital experiences. Your role combines strategic thinking with hands-on technical leadership, evaluating approaches for scalable inference pipelines or motion synthesis systems, building Proof of Concepts, reviewing model deployment strategies, and helping squads solve complex architecture and integration challenges. You’ll guide technical implementation across areas such as trajectory prediction, motion synthesis, real-time data processing, 2D-to-3D geometry pipelines, and cloud-hosted ML services, ensuring solutions are scalable, reusable, maintainable, and aligned with wider engineering standards.
Responsibilities
- Shape the architecture, technical direction, and implementation strategy behind ML-driven products and platforms.
- Design intelligent systems that transform live sports data into immersive digital experiences.
- Evaluate approaches for scalable inference pipelines or motion synthesis systems.
- Build Proof of Concepts.
- Review model deployment strategies.
- Help squads solve complex architecture and integration challenges.
- Guide technical implementation across trajectory prediction, motion synthesis, real-time data processing, 2D-to-3D geometry pipelines, and cloud-hosted ML services.
- Ensure solutions are scalable, reusable, maintainable, and aligned with wider engineering standards.
Requirements
- Strong experience in machine learning engineering, software architecture, or technical leadership.
- Deep expertise in a relevant technical domain such as ML systems, data pipelines, backend engineering, or cloud infrastructure.
- Hands-on experience with PyTorch, TensorFlow, or similar ML frameworks.
- Strong understanding of scalable APIs, cloud-native systems, and modern engineering practices.
- Experience creating Proof of Concepts and evaluating technical approaches.
- Ability to communicate technical solutions clearly to technical and non-technical audiences.
- Experience collaborating across multidisciplinary engineering teams.
- Willingness to work on-site in our Alkmaar office.
Skills
- Machine learning architecture
- Scalable technical solutions
- Applied machine learning
- Technical architecture
- Systems design
- Implementation strategy
- Prototyping
- Collaboration
- Quality assurance
- Reusability
- Curiosity
- PyTorch
- TensorFlow
- Scalable APIs
- Cloud-native systems
- Modern engineering practices
- MLOps tooling
- MLflow
- CI/CD workflows
- Model monitoring
- AWS
- Azure
- GCP
- Real-time systems
- Motion synthesis
- 3D graphics pipelines
- Unity
- Football
- Team sports
Location
- Alkmaar
Work Type
- On-site
Experience Level
- Strong experience in machine learning engineering, software architecture, or technical leadership
Benefits
- 25 days of paid leave per year
- Pension program
- Lunch included
- Gym card
- Fresh fruit
- Great coffee
- Friday drinks
- Bi-monthly team outings
- Office games like FIFA, chess, and ping-pong
- Sony Benefits
About the Company
- At Beyond Sports, we don’t just visualize sports — we reinvent how fans experience them.
- Together with partners like NFL, NHL, FIFA, and Disney, we push the boundaries of real-time sports data, 3D graphics, and AI-driven storytelling.
- We move fast, experiment boldly, and trust our people.
- We believe the best results happen when engineers, ML specialists, artists, and creatives work closely together to build things that genuinely haven’t existed before.