Software Architect - Machine Learning

Responsibilities

• You’ll guide technical implementation across areas such as trajectory prediction, motion synthesis, real-time data processing, and cloud-hosted ML services.
• Stay hands-on technically
• Care about quality and reusability

Preferred

• 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

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.
• 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.
• 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

Nice to Have (But Not Required)

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
• Hungary Benefits

Annual Leave

Standard according to local labour law.

Sony Group Discounts

Generous discounts across Sony Group products and services.

Other Benefits

Flexible Cafeteria options (SZÉP Card, Nursery & Kindergarten contributions, Annual MOL Bubi Pass), Private Medical Insurance, Life & Accident Insurance, MindentMent Dental Clinic discounts, Seniority Awards, and an Employee Assistance Program.

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.