(Senior) Machine Learning Engineer

General Information

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. A generalisation of tasks is listed below as well as profile requirements.

Your mission

• 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).

Your profile

• 2+ years building production ML systems.
• MSc in Machine Learning, Data Science, Computer Science, or related field (or equivalent experience).
• Strong Python and experience with ML libraries (scikit‑learn and/or PyTorch/TensorFlow).
• Experience with data handling and querying (SQL ).
• Understanding of model evaluation, deployment concepts, and version control (Git).
• Ability to work in complex engineering environments and communicate with non‑ML stakeholders.
• Advantageous would be: time‑series forecasting, optimisation, real‑time systems, dashboards, sports/motorsport analytics, AWS experience.

Work Location
USA | Remote possible (role‑dependent) | Limited Travel required