Why you should join us

We’re building a research lab with a real-time feedback loop.
We’re building AI systems that expand how quickly a small research team can understand, test, and discover.
Our edge is the speed at which we can form ideas, run experiments, and learn from reality.
You’ll work directly with the founders and have real ownership over what we study, how we approach it, and what we build next.
We’re a small team with over a decade of experience at places like Optiver, DRW, and Argo AI.

What you’ll do

Identify interesting, tractable research questions and turn them into experiments.
Build models and research workflows across structured, unstructured, and temporal data.
Use modern ML and AI systems to find patterns, test hypotheses, and discover things we didn’t know to look for.
Design experiments carefully, distinguish real signal from noise, and measure whether ideas actually work.
Work closely with engineers to turn promising research into reliable systems.
Own research end-to-end: find the question, design the test, analyze the result, and decide what comes next.

What we’re looking for

You have unusually high initiative: you find important questions and pursue them without waiting for someone to hand you a research agenda.
You’re analytically sharp and learn extremely quickly.
You’re strong in statistics, machine learning, experimentation, or quantitative research.
You’re comfortable writing code and using it as a tool for thinking.
You reason from first principles, challenge your own assumptions, and care deeply about whether an idea survives contact with data.
Curiosity, intensity, and judgment matter much more to us than credentials or years of experience.

First week: learn how we work, find an interesting question, and start testing it.
By 15 days: take ownership of a meaningful research problem end-to-end, including deciding how to measure whether the idea works.
By 30 days: we want you independently identifying promising directions and driving research that materially expands what the team understands or can do.

You’ll have the autonomy and resources to do some of the best work of your life.

This is an on-site role based in San Francisco, CA.

Member of Technical Staff | Research

Job Description