Member of Technical Staff | Research

Другое

• 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.
• 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.
• 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.
• Website:
• Jobs:
• This is an on-site role based in San Francisco, CA.