Software Architect - Machine Learning

About the role

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.