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Machine Learning Engineer
role at
Crossing Hurdles
Crossing Hurdles
is 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.
Overview
Role :
Machine Learning Engineer
Details
Type : Hourly Contract
Compensation : Up to $140 / hour
Location : Remote
Duration : 4–6 weeks
Role Responsibilities
Draft 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.
Requirements
Strong professional 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.
Notes
Accept 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.
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Machine Learning Engineer • Toronto, Canada