Machine Learning Engineer (Remote)

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.

In Short

• Compile external ML competitions into challenging tasks.
• Draft detailed, executable natural language plans.
• Implement plans in Python code within a Docker environment.
• Validate implementations against original plans.
• 5+ years of experience in applied machine learning or PhD in machine learning.
• Strong Python engineering skills.
• Familiarity with Docker-based development environments.
• Detail-oriented approach to technical planning.
• Comfortable working independently under compliance constraints.
• Remote and asynchronous work with flexible hours.

Requirements

• 5+ years of experience in applied machine learning or PhD.
• Strong Python skills for model training and data handling.
• Experience with Docker.
• Detail-oriented in technical planning and code validation.
• Experience with reproducibility and benchmarking in ML research (preferred).
• Ability to work independently under compliance constraints.

Benefits

• Remote and asynchronous work.
• Flexible hours.
• Estimated commitment: 20 hours/week.
• Expected project duration: 2+ months with possible extension.
• Compensation up to $150/hour based on experience.
• Paid weekly via Stripe Connect.