Machine Learning Engineer

Key Responsibilities • Compile external ML competitions into challenging tasks that reflect real-world responsibilities (training models, prepping datasets, and running experiments). • Draft detailed, executable natural language plans to completing MLE tasks. • Implement those plans in Python code within a provided Docker environment. • Validate implementations against original plans and mark discrepancies. Ideal Qualifications • 5+ years of experience in applied machine learning OR PhD in machine learning or adjacent fields. • Strong Python engineering skills, especially for model training and data handling. • Familiarity with Docker-based development environments. • Detail-oriented approach to technical planning and code validation. • Experience with reproducibility and benchmarking in ML research (preferred). • Comfortable working independently under strict compliance constraints. More About the Opportunity • Remote and asynchronous — set your own hours. • Estimated commitment: 20 hours/week. Compensation & Contract Terms • Up to $150/hour depending on region and experience. • Paid weekly via Stripe Connect. • Structured as an independent contractor engagement. Application Process • Submit your resume. • Complete an AI interview (<10 minutes) and short form revolving around your ML experience.