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Mercor is collaborating with a leading AI research lab to support the evaluation of advanced machine learning systems. We are seeking experienced machine…

Machine Learning Engineer - Mercor Jobs

Mercor is collaborating with a leading AI research lab to support the evaluation of advanced machine learning systems. We are seeking experienced machine learning engineers and researchers to contribute to the design of high-quality evaluation suites that measure AI performance on real-world machine learning engineering tasks. The work focuses on translating practical ML research and engineering workflows into structured benchmarks for frontier models. This is a project-based, remote opportunity suited for experts with hands-on ML research experience.

**Key responsibilities**

- Design and write detailed evaluation suites for machine learning engineering tasks
    
- Assess AI-generated solutions across areas such as model training, debugging, optimization, and experimentation
    

**Ideal qualifications**

- 3+ years of experience in machine learning engineering or applied ML research
    
- Hands-on experience with model development, experimentation, and evaluation
    
- Background in ML research (industry lab or academic setting strongly preferred)
    
- Strong ability to reason about ML system design choices and tradeoffs
    
- Clear written communication and high attention to technical detail

Hi {{first_name}},

We appreciate your patience regarding your application for {{listing_name}}. Unfortunately, the initial slots for this project have now been filled, and the project manager hasn't moved forward with your application at this stage.

However, projects frequently expand, and more opportunities often become available on short notice. We'll keep your application in a paused state - should more slots become available, you'll automatically be considered for them.

In the meantime, we encourage you to explore other [open roles](https://work.mercor.com/explore) on Mercor. We'll continue to consider you for suitable opportunities.

Thanks for your understanding,
The Mercor Team

Machine Learning Engineer

Mercor is collaborating with a leading AI research lab to support the evaluation of advanced machine learning systems. We are seeking experienced machine learning engineers and researchers to contribute to the design of high-quality evaluation suites that measure AI performance on real-world machine learning engineering tasks. The work focuses on translating practical ML research and engineering workflows into structured benchmarks for frontier models. This is a project-based, remote opportunity suited for experts with hands-on ML research experience.
Key responsibilities
<ul>
<li>Design and write detailed evaluation suites for machine learning engineering tasks
</li>
<li>Assess AI-generated solutions across areas such as model training, debugging, optimization, and experimentation
</li>
</ul>
Ideal qualifications
<ul>
<li>3+ years of experience in machine learning engineering or applied ML research
</li>
<li>Hands-on experience with model development, experimentation, and evaluation
</li>
<li>Background in ML research (industry lab or academic setting strongly preferred)
</li>
<li>Strong ability to reason about ML system design choices and tradeoffs
</li>
<li>Clear written communication and high attention to technical detail
</li>
</ul>

Listing is not currently accepting applications