Machine Learning Engineer - Sports Technology

What you'll do

• Invent and build ML-driven solutions for complex problems in character animation, agent behavior, physics simulation, and content generation.
• Design and implement production-ready ML systems that respect real-world game development constraints such as performance, tooling, and iteration speed.
• Create intuitive, easy-to-use workflows that reduce repetitive manual work while empowering creators to move faster and think bigger.
• Optimize models and pipelines to minimize training and inference time without sacrificing quality.
• Stay current with cutting-edge research in Machine Learning, continuously evaluating how new ideas can be applied to games.
• Evaluate, extend, and improve both internal and external ML technologies for game-specific use cases.

What we're looking for

• Bachelor’s degree in Computer Science, Applied Math, Statistics, Machine Learning or equivalent practical experience.
• Expert proficiency in Python with hands-on experience using ML frameworks like PyTorch or TensorFlow.
• 3-5 years of hands-on Machine Learning experience with a strong problem-solving mindset.
• Solid foundation in linear algebra, statistics, 3D transformations, and mathematical optimization.
• Experience productizing ML solutions as standalone applications or production services.
• Ability to translate research ideas into working systems while balancing innovation with usability and performance.
• Expertise handling large-scale datasets (GBs–TBs) for efficient data processing.