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# Forward Deployed Machine Learning Engineer

- **Company:** Ai, Inc
- **Location:** United States (Remote available)
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Large Language Models, Backend, Data Pipelines
- **Published:** September 4, 2026
- **Apply:** https://startup.jobs/forward-deployed-machine-learning-engineer-protege-8926091

## About the Role

* 4+ years of engineering experience

 * Hands-on ML work evaluating models

 * Have previously owned backend and infrastructure

 * High ambiguity tolerance and bias to action

 * Comfort working with urgency to meet the pace and volume of the market demands

 * Strong written communication

Nice to Haves

 * Prior experience building benchmarks, evals, or human data pipelines for LLMs

 * Time at a frontier lab, an eval-focused team, or a research org

 * Founding or early engineer experience at a fast-moving startup

 * Familiarity with agentic systems, RL environments, code-execution sandboxes, TEE/TREs

## Description

We're hiring a Forward Deployed Machine Learning Engineer in our Benchmarks and Evaluations vertical. You'll be the first MLE dedicated to this vertical and will work directly with the GM and our researchers to scale Protege's position as a renowned leader in the space.

At Protege, we believe that real world data is one of the largest bottlenecks to AI progress. Our data and data expertise position us to be neutral arbiters for the market, helping model builders understand the current performance of their models, identify what data will improve performance, and show that improvement over time. Benchmarks and evaluations power that cycle. As an early engineer in the Benchmarks and Evaluations vertical, this role is an opportunity to help build the technical foundation for a critical area that greatly benefits current and future customers.


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