(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 generalization of tasks is listed below as well as profile requirements.Any applications not matching minimum profile requirements will be ignored.Your profile2+ years building production ML systemsMSc in Machine Learning, Data Science, Computer Science, or related field (or equivalent experience)StrongPythonand 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 stakeholdersAdvantageous would be: time-series forecasting, optimization, real-time systems, dashboards, sports/motorsport analytics, AWS experience.Work Location| USA | Remote possible (role-dependent) | Limited Travel requiredWhy us? Your missionDevelop, 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 dataImplement monitoring and iteration practices for deployed models (MLOps basics)Collaborate with engineering and performance stakeholders to translate requirements into deliverablesContribute 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)#J-18808-Ljbffr