Machine Learning Engineer (m/f/d)
Core
Research and development of generative models of sports gameplay and predictive models of player actions and performance for sports performance, betting, and media products.
Role type
Senior Machine Learning Engineer (Generative AI & Sequence Modeling)
Builds
Production AI models for coaching, sports betting, augmented streaming, and sports virtualization.
Domain
Sports technology, Generative AI, Deep Learning
Deliverable
production ML models
Required skills
Deep learning for sequence modeling, Generative AI (transformers, autoregressive, diffusion), Python, PyTorch, PyTorch Lightning, Data engineering, Cloud services (AWS), Containerization (Docker, Singularity), Spatiotemporal data modeling
Preferred skills
Computer vision, Pose estimation pipelines, Skeleton-based modeling
Technologies
PyTorch, PyTorch Lightning, AWS, Docker, Singularity, JIRA
Responsibilities
Develop and train deep learning models for sequence modeling and generative tasks; Design and build data processing pipelines from scratch; Validate models using back-testing and simulations; Optimize models for GPU-accelerated inferencing; Deploy models to production and monitor performance; Collaborate with stakeholders to integrate model outputs into product experiences.
Seniority
Senior, hands-on IC