Research Engineer

Support AI alignment researchers by implementing and scaling machine learning experiments from exploratory code to reliable, efficient production runs.
- Implement experiments, debug failures, and optimize performance; verify implementations match researchers' intended computations.
- Maintain research tools and automation; identify and pursue improvements between research-support assignments.
- Use LLMs effectively for implementation and debugging, recognizing errors and validating outputs against actual work.
- Collaborate closely with researchers to understand project concepts and explain engineering decisions clearly.
- Requires practical ML engineering ability, careful debugging habits, and experience understanding unfamiliar research code.

Iliad is an umbrella organization that advances applied mathematics research in AI alignment through conferences, research incubation, and fellowship programs.