RaceOn

Machine Learning Engineer

• Develop, validate, and deploy ML models for performance and operational use cases (e.g., predictive analytics, decision support, performance measurement)
• Build data pipelines and analysis workflows for structured and time-series data
• Implement monitoring and iteration practices for deployed models (MLOps basics)
• Collaborate with engineering and performance stakeholders to translate requirements into deliverables
• Contribute to ML infrastructure and codebase quality (reviews, documentation, reusable components)
• Travel occasionally for live validation and stakeholder feedback (role dependent; approx. 5–6 race weekends/year for some assignments)

Senior Machine Learning Engineer