> Markdown version of [/jobs/ext/4587814-ml-engineer-model-evaluation-expert](https://www.wearedevelopers.com/jobs/ext/4587814-ml-engineer-model-evaluation-expert). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # ML Engineer - Model Evaluation Expert - **Company:** Mercor, Inc. - **Location:** San Francisco, CA, United States (Remote available) - **Salary:** $124,800 - $187,200 - **Contract:** Permanent contract - **Skills:** Python (Programming Language), Machine Learning, Reinforcement Learning, Large Language Models, Model Validation, Git, Information Technology - **Published:** November 5, 2026 - **Apply:** https://www.thejobnetwork.com/job/d3b8236a-7d7a-4514-b905-1caed35e9683/ml-engineer-model-evaluation-expert ## About the Role Must-Have * MSc or PhD in machine learning, computer science, or a related STEM field. * 1+ years in a research or research-engineering role. * Experience in training and evaluating ML models and conducting end-to-end experiments. * Proficiency in Python and Git. * Strong understanding of large language models and their evaluation. Preferred * Basic knowledge of reinforcement learning. * Experience in AI training, model evaluation, or benchmark/task authoring. ## Description * Run experiments by implementing changes, executing training experiments, and analyzing results to define correct solutions. * Explore reinforcement learning concepts such as reward functions and training behavior in task development. * Evaluate frontier models' performance on tasks and identify areas of improvement. * Collaborate with researchers to ensure tasks are consistent, rigorous, and fair.