Machine Learning Engineer

Remote, USA
Posted Jun 12, 2026
Full-time

**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.

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