NLResearch Engineer
IliadRemote
Global catastrophic risksAI safetySoftware engineeringResearch
Why this is on the board
At Iliad, people research how to make powerful AI systems do what humans intend, and their pace often depends on how quickly rough test code becomes a reliable computation at scale. You don't set the research direction yourself, but every experiment you make run faster and without errors gives a researcher time back for the next question.
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About the role
Support AI alignment researchers by implementing and scaling machine learning experiments from exploratory code to reliable, efficient production runs. - Implement experiments, debug failures, and optimise 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, recognising errors and validating outputs a…
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