Machine Learning Engineer

Role Overview Mercor is driving a leading AI research initiative focused on benchmarking and enhancing model performance and training speed across a range of machine learning tasks. We’re seeking Machine Learning Engineers (MLEs) with 3+ years of experience to contribute to a multi-step pilot project designed to evaluate human-led planning and implementation workflows. This project is ideal for professionals interested in reproducible ML research and benchmarking AI model development pipelines. Key Responsibilities • Draft detailed, executable natural language plans to address ML-related Kaggle competition tasks • Implement those plans in Python code within a provided Docker environment • Validate implementations against original plans and mark discrepancies Ideal Qualifications • 3+ years of experience in applied machine learning or MLE roles • 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 • Expected project duration: 4-6 weeks Compensation & Contract Terms • Up to $140/hour depending on region and experience • Paid weekly via Stripe Connect • Structured as an independent contractor engagement Application Process Submit your resume to express interest Complete AI interview (<10 minutes) and short form revolving around your ML experience Selected contributors will receive a sample spec and rubric to complete as an initial test (paid exercise) We aim to get back to all applicants within 7 business days of applying About Mercor • Mercor is a talent marketplace that connects top experts with leading AI labs and research organizations • Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey • Thousands of professionals across domains like law, creatives, engineering, and research have joined Mercor to work on frontier projects shaping the next era of AI