Machine Learning Engineer

Our client is driving a leading AI research initiative focused on benchmarking and enhancing model performance and training speed across a range of machine learning tasks. This project is ideal for Machine Learning Engineers (MLEs) or Machine Learning PhDs interested in reproducible ML research and benchmarking AI model development. 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 • Strong 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 work — set your own hours • Estimated commitment: 20 hours/week • Expected project duration: 2+ months with the possibility of an extension Compensation & Contract Terms • Up to $150/hour • Weekly payment Application Process • Submit your resume. • Complete a short interview and short form revolving around your ML experience.