Machine Learning Engineer (m/f/d)

We are looking for a Machine Learning Engineer to join Sportradar's AI unit, an established, high performing team of AI experts working on the design, development and deployment of AI models that deepen our understanding of sports and enable new sports technology products for sports performance, betting and media.

Requirements

• Analysis of large-scale body pose tracking data collections
• Development and training of machine learning models, specializing in deep learning methods for sequence modelling
• Design, training, and iteration of representation learning solutions optimized for modelling of sports data with LLM-like models
• Development of data processing pipelines for training models from scratch
• Rigorous validation of methods, models, algorithms, and hypotheses
• Optimization of models for efficient GPU-accelerated inferencing at scale
• Collaboration with stakeholders to connect model outputs to product experiences
• Presentation of ideas and solutions to software developers and business stakeholders
• Experience with Python, PyTorch, PyTorch Lightning, distributed training, and experiment tracking
• Solid understanding of data engineering basics and cloud services
• Ability to properly use JIRA and plan work in efficient and clear manner

Benefits

• Collaborative environment with colleagues from all over the world
• Flexibility to manage workday and tasks with autonomy
• Balance of structure and autonomy to tackle daily tasks
• Vibrant and inclusive community with various social events and teambuilding
• Global Employee Assistance Programme
• Calm and Reulay app for well-being and mental resilience
• Online training videos
• Flexible working hours