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

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