Research Engineer Intern
Skip the busywork
ApplyBolt rewrites your resume for this exact role and hits submit. You just pick the jobs.
About this role
About the Role
As a Research Engineer Intern at Mercor, you’ll work at the intersection of engineering and cutting-edge AI research. You’ll contribute directly to post-training and RLVR, data generation, and large-scale evaluation workflows. Your work will be used to train Large Language Models to master tool-use, agentic behavior, and real-world reasoning. You’ll shape rewards, experiment with algorithmic improvements (GRPO, DAPO, etc.), and enhance data quality to improve model performance in real production environments. You’ll help design and evaluate datasets, create scalable data augmentation pipelines, and build rubrics that push the boundaries of what LLMs can learn.
What You’ll Do
- Work on post-training and RLVR pipelines to help Mercor understand how datasets impact model performance.
- Design and run reward-shaping experiments and algorithmic improvements (e.g., GRPO, DAPO) to improve LLM tool-use, agentic behavior, and real-world reasoning.
- Quantify data usability, quality, and uplift on key benchmarks.
- Build data generation and augmentation pipelines that scale with training needs.
- Create and refine rubrics, evaluators, and scoring frameworks that push the boundaries of what LLMs can learn.
- Collaborate closely with research engineers, applied AI teams, and experts producing data.
- Operate in a fast-paced, experimental research environment with rapid iteration cycles.