Aemon is building the first autonomous AI research engineers: systems that can take a hard scientific or technical objective, understand the frontier, generate hypotheses, run experiments, evaluate evidence, and keep improving until they discover validated breakthroughs.
This is our first internship role. You will join as a real member of the core technical team and work directly with the founders on the core systems behind Aemon.
We designed this as a full four-month internship because we do not think a short work trial is enough for either side.
Aemon is working on deep, ambiguous, long-horizon problems. It takes time to understand the system, build taste for the research loop, take real ownership, and show how you think when the answer is not obvious. Four months gives us enough time to evaluate you holistically: your technical ability, judgment, speed, creativity, rigor, and ability to turn ambiguity into progress.
Just as importantly, it gives you enough time to evaluate us.
You should have the freedom to form a real view of the team, the problem, the culture, and whether Aemon is the place you want to bet on. We want people who choose us with conviction, not because of a rushed process.
For exceptional interns, this internship can be a path toward a full-time founding technical role.
Depending on your strengths, you may work on:
You may be a fit if you:
We especially like people who have strong evidence of technical excellence: olympiads, competitive programming, math competitions, research projects, open-source work, systems projects, AI projects, or other work that shows unusual ability.
Aemon is a small, high-density team working on one of the hardest problems in AI: making machines capable of real research.
Everyone at Aemon has placed top 50 in their respective country in computer science or mathematics competitions. If you join, you will be surrounded by people who care deeply about technical excellence, speed, rigor, and taste.
We are backed by tier-one investors and exceptional angels, including Paul Graham.
The field is still extremely early. Many of the most important ideas have not been discovered yet. If you want to help define how autonomous research systems should work, this is the kind of environment where your ideas can matter.
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