**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. This project is ideal for Machine Learning Engineers (MLEs) with 5+ years of experience 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**
– 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.
– Expected project duration: 2+ months with the possibility of an extension.
**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.
**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.
Share: