Software Architect - Machine Learning
At a glance
Mid-level Machine Learning Engineering role at Beyond Sports. Alkmaar · full-time.
Pay not stated Machine Learning Engineering salary
aimlroles summary, based on the employer's posting.
What you'll do
- Set architecture and implementation direction for machine-learning products, working with engineers, product teams and other architects
- Compare options for inference pipelines and motion synthesis, then build proof-of-concept code to test approaches
- Help teams resolve architecture and integration problems across trajectory prediction, motion synthesis and live data processing
- Review model deployment plans and guide delivery of cloud-hosted machine-learning services
- Keep systems reusable, maintainable and scalable while aligning them with broader engineering standards
What you bring
- Strong experience in machine-learning engineering, software architecture or technical leadership
- Production experience deploying ML systems, including serving, monitoring and retraining models
- Practical deep-learning model development and training experience with PyTorch
- Knowledge of cloud platforms such as AWS, Azure or another listed provider, plus scalable APIs and cloud-native systems
- Clear communication across technical and non-technical groups, with experience working across engineering disciplines
Who this fits
This mid-level, hands-on architecture role suits someone who can guide technical direction while prototyping and supporting engineers. You’ll work on-site in the Alkmaar office.
From the employer
Join Our Team as a Team Architect (Machine Learning Focus) at Beyond Sports
Are you excited about machine learning, technical architecture, and building the intelligent systems powering the future of sports entertainment?
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.
If you’re passionate about machine learning architecture, scalable technical solutions, and guiding engineering teams through complex technical challenges, this could be your next move.
What Your Day Will Look Like
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. One day you might be evaluating approaches for scalable inference pipelines or motion synthesis systems. The next, you could be building Proof of Concepts, reviewing model deployment strategies, or 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, and cloud-hosted ML services.
You’ll also ensure solutions are scalable, reusable, maintainable, and aligned with wider engineering standards across the business.
What We Value
At Beyond Sports, 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.
You’ll fit right in if you:
Love applied machine learning and technical architecture
You enjoy designing scalable systems and turning complex technical ideas into practical solutions.
Think in systems and implementation strategy
You naturally balance innovation, scalability, maintainability, and delivery requirements.
Stay hands-on technically
You enjoy prototyping, validating ideas through code, and supporting engineers with difficult technical challenges.Collaborate naturally
You can communicate technical approaches clearly across disciplines and with non-technical stakeholders.
Care about quality and reusability
You value maintainable systems, reusable tooling, and strong engineering standards.
Stay curious
You 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 leadership
Deep expertise in a relevant technical domain such as ML systems, data pipelines, backend engineering, or cloud infrastructure
Experience deploying ML systems into production, including serving, monitoring, and retraining
Familiarity with MLOps tooling such as MLflow, CI/CD workflows, and model monitoring
Experience with AWS, Azure, or GCP
Experience 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 PyTorch
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
Nice to Have (But Not Required)
Understanding of real-time systems, motion synthesis, or 3D graphics pipelines
Experience with Unity or other game engines
Interest in football or other team sports
Why 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 globally
Technical ownership: Influence implementation strategy, architecture, and engineering standards
Hands-on innovation: Build POCs and help define the future of our ML systems
Constant learning: From machine learning research to real-time 3D systems, there’s always something new
Real collaboration: Engineers, artists, ML specialists, and product teams working side by side
And we make sure it’s a great place to work:
25 days of paid leave per year
Pension program
Lunch included
Gym card
Fresh fruit, great coffee, and Friday drinks
Bi-monthly team outings
Office games like FIFA, chess, and ping-pong
Sony 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.