Join to apply for theMachine Learning Engineerrole atCrossing HurdlesCrossing Hurdlesis a recruitment firm. We refer top candidates to our partners working with the world’s leading AI research labs to help build and train cutting-edge AI models.OverviewRole:Machine Learning EngineerDetailsType:Hourly ContractCompensation:Up to $140/hourLocation:RemoteDuration:4–6 weeksRole ResponsibilitiesDraft detailed,



executable natural-language plans to address machine learning–related Kaggle competition tasks.Implement these plans in Python within a provided Docker environment.Validate implementations against the original plans and identify discrepancies.Apply reproducibility and benchmarking best practices to evaluate AI model development pipelines.Work independently while adhering to compliance and quality standards.RequirementsStrong qualified experience in applied machine learning or MLE roles.Strong Python skills for model training, data processing, and automation.Experience with Docker-based development workflows.Proven ability to design and implement reproducible ML experiments.Detail-oriented, analytical approach to problem-solving.NotesAccept the referral invite that will pop up during the application process so we can keep you posted and help you with any issues or questions.#J-18808-Ljbffr

📌 Machine Learning Engineer - $140 An Hour - Remote (Toronto)
🏢 Crossing Hurdles
📍 Toronto