RaceOn

Senior Machine Learning Engineer

RaceOn

full-time

Posted on:

Location Type: Remote

Location: United States

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Job Level

Senior

Tech Stack

AWSPythonPyTorchScikit-LearnSQLTensorflow

About the role

  • 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)

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
  • Advantageous would be: time-series forecasting, optimization, real-time systems, dashboards, sports/motorsport analytics, AWS experience.
Benefits
  • Limited Travel required
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
machine learningdata pipelinespredictive analyticsmodel evaluationMLOpsPythonscikit-learnPyTorchTensorFlowSQL
Soft Skills
collaborationcommunicationproblem-solvingstakeholder engagement
Certifications
MSc in Machine LearningMSc in Data ScienceMSc in Computer Science