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Software Architect - Machine Learning

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Software Architect - Machine Learning in Others

  • Beyond Sports
  • Full time
  • Email
  • Budapest, Hungary

Responsibilities

  • Shape architecture, technical direction, and implementation strategy for ML-driven products and platforms.
  • Design scalable inference pipelines, motion-synthesis systems, real-time data processing solutions, and cloud-hosted ML services.
  • Build proofs of concept, evaluate technical approaches, and review model deployment strategies.
  • Guide engineers and squads through complex architecture, integration, and implementation challenges.
  • Ensure solutions are scalable, reusable, maintainable, and aligned with engineering standards.
  • Collaborate with Machine Learning Engineers, Tech Leads, Product teams, architects, artists, and other multidisciplinary stakeholders.
  • Provide hands-on technical leadership through prototyping, code-based validation, and support for difficult engineering challenges.

Requirements

  • Strong experience in machine-learning engineering, software architecture, or technical leadership.
  • Deep expertise in 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 such as transformers or RNNs, or generative models such as diffusion, flow, or GANs.
  • 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 proofs of concept and evaluating technical approaches.
  • Ability to communicate technical solutions clearly to technical and non-technical audiences.
  • Experience collaborating across multidisciplinary engineering teams.
  • Understanding of real-time systems, motion synthesis, or 3D graphics pipelines is a preferred qualification.
  • Experience with Unity or other game engines is a preferred qualification.

Benefits

  • High-impact work shaping how millions of people experience sports globally.
  • Technical ownership over implementation strategy, architecture, and engineering standards.
  • Hands-on innovation through building proofs of concept and defining ML systems.
  • Ongoing learning across machine-learning research and real-time 3D systems.
  • Collaboration with engineers, artists, ML specialists, and product teams.

Beyond Sports

Beyond Sports delivers innovative, high-performance athletic gear that empowers athletes to push beyond their limits. By blending cutting‑edge design with user‑centric functionality, we help athletes of all levels achieve peak performance and confidence on and off the field. Our commitment to qua...

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