(Senior) Machine Learning Engineer
Core
Architect and build production ML systems for performance and operational use cases (predictive analytics, decision support, performance measurement) to create a competitive advantage on race day.
Role type
Senior Machine Learning Engineer
Builds
Production ML models, data pipelines, and analysis workflows for motorsport performance
Domain
Motorsport analytics and performance optimization
Deliverable
production ML models
Required skills
Python, scikit-learn, PyTorch, TensorFlow, SQL, Git, model evaluation, MLOps basics
Preferred skills
Time-series forecasting, optimization, real-time systems, AWS, sports/motorsport analytics
Responsibilities
Develop, validate, and deploy ML models; Build data pipelines and analysis workflows; Implement monitoring and iteration practices for deployed models; Contribute to ML infrastructure and codebase quality
Seniority
Senior, hands-on IC
