Machine Learning Engineer
Job Description & How to Apply Below
Join to apply for the 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.
OverviewRole: Machine Learning Engineer
DetailsType: 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.
- 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.
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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