(Senior) Machine Learning Engineer

RaceOn GmbH • Dietmannsried, NC

8d • Remote

About The Position

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.

Requirements

• 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

Nice To Haves

• time-series forecasting
• optimization
• real-time systems
• dashboards
• sports/motorsport analytics
• AWS experience

Responsibilities

• 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)

What This Job Offers

• Job Type: Full-time
• Career Level: Senior