Founding Research Engineer

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.

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 system that generates alpha. Design the research orchestration layer — what to explore, how to evaluate it, what to remember — and train the models that power it. You'll work at the intersection of ML systems and quantitative finance, closing the loop from hypothesis to P&L.

You might work on

• Research orchestration optimized for maximum exploration velocity
• Training small transformers on proprietary data for signal prediction
• Backtesting frameworks with regime-aware evaluation
• Knowledge systems that compound across thousands of sessions

Details

• Stack: Python, PyTorch, proprietary feature discovery, model fitting and backtesting infra
• Location: San Francisco (in-person)
• Comp: Competitive salary + meaningful founding equity

An autonomous system that turns raw compute and data directly into alpha, executing without the friction or bias of human emotion.