RaceOn is seeking a Senior Machine Learning Engineer as well as a Junior Machine Learning Engineer to architect and build production ML systems that create a competitive advantage on race day. The tasks are slightly different but candidates will be managed via the same application and more details will be available in the interview. Any applications not matching minimum profile requirements will be ignored.

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 ...