
AI-native hedge fund using agents to automate quant research—at scale
Event Horizon Labs — San Francisco (in-person)
We're a small, tight-knit team building autonomous research infrastructure from scratch. The orchestrator, the agents, the compounding knowledge base are already discovering profitable strategies and scaling with each new model release. These are founding roles with competitive salary and equity.
The next breakthrough isn't a better model — it's infrastructure for autonomous problem-solving. Markets are the first domain because feedback is immediate, signal is verifiable, and outcomes are directly monetizable. What we're building doesn't stop at markets.
Team from Citadel, Jump Trading, Stanford, Caltech, Berkeley.
You build the platform everything runs on. Design the orchestration layer that dispatches parallel research sessions, the data pipelines that feed them, the observability that monitors them, and the trading systems that act on what they find. Distributed systems meets autonomous AI infrastructure.
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Details
We operate a platform that automates quantitative research — generating hypotheses, backtesting strategies, and analyzing results. Hundreds of agents run in parallel and learn from what the others discovered. We are building a fund that scales on agents, not researchers.