Machine Learning Engineer

Company Introduction

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Role Overview

Position: Machine Learning Engineer – Independent Contractor, Remote
Commitment: 20 hours per week, Duration: 2+ months with possible extension.
Drive AI research by benchmarking and enhancing model performance and training speed across machine learning tasks.

Responsibilities

• Compile external ML competitions into challenging tasks reflecting real-world responsibilities like training models, prepping datasets, and running experiments.
• Draft detailed, executable natural language plans for completing MLE tasks.
• Implement plans in Python code within a provided Docker environment.
• Validate implementations against original plans and mark discrepancies.

Requirements / Qualifications

Must-Have 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.

Preferred Qualifications

• Experience with reproducibility and benchmarking in ML research.
• Comfortable working independently under strict compliance constraints.

Engagement Details

Remote and asynchronous — set your own hours.
Up to $150/hour depending on region and experience.
Paid weekly via Stripe Connect.
Structured as an independent contractor engagement.

Application Process (Takes 20-30 mins to complete)

Submit your resume.
Complete an AI interview (<10 minutes) and short form revolving around your ML experience.

Resources & Support

For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome/welcome
For any help or support, reach out to: [email protected]

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.