
Event Horizon Labs
AI research lab automating all of investing
What Event Horizon Labs does
We are scaling autonomous research, Markets are our verification loop: agents turn hypotheses into strategies, test them, and compound what survives.
2 open roles
What the role involves
Founding Research Engineer 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
What the role involves
Founding Software Engineer 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. You might work on Compute scheduling and resource allocation across hundreds of agents Streaming data pipelines for real-time market ingestion Agent observability, experiment tracking, and reproducibility at scale Low-latency trading system design and optimization Details Stack: Python, Go, Kubernetes, streaming data, low-latency systems Location: San Francisco (in-person) Comp: Competitive salary + meaningful founding equity
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Company facts compiled from public sources and last refreshed 9 September 2026. Details change; treat the company’s own site as the authority.