AI Researcher

The next quant firm is a learning system. We’re building an investment firm around an AI researcher that tests investment ideas and carries what it learns into the next experiment.

We’re a team of researchers and engineers in New York, and we work in person. We’re curious about how things work, quick to put ideas to the test, and willing to question our own assumptions. Build the researcher with us.

The Role

You will work on the core intelligence layer: agents that discover, evaluate, and execute trading ideas. We are especially interested in people who can move between first-principles research and shipping. You should be comfortable reading papers, forming opinions, designing experiments, building systems, and debugging weird empirical results where the answer might be signal, noise, leakage, overfitting, or a bug.

As a member of the founding team, you'll directly impact every level of the business, from product strategy to team culture.

What you'll do

• Design, implement, and improve autonomous multi-agent systems that discover, implement, and evaluate investment strategies

• Build agentic harnesses that enable agents to use tools, perform research, and critique their own conclusions

• Design and conduct experiments to improve system reliability, calibration, and empirical judgment in uncertain environments

• Develop robust evaluation frameworks for agent behavior, reasoning, and research outputs

• Create contextual corpora/knowledge base to drive and accelerate discovery

• Collaborate with quants to learn the domain and teach the agentic system how to navigate the nuances of the problem space

What we're looking for

• Bachelor or above in a STEM field. PhD preferred

• At least 2 years of work experience, or equivalent depth demonstrated through exceptional research and shipped systems

• Experience doing cutting-edge research in AI, machine learning, statistics, mathematics, computer science, physics, finance, or another technical field

• Strong empirical judgment. You know the difference between a real result, noise, leakage, a lucky backtest, and a broken experiment

• High agency. You can take an ambiguous research direction and turn it into experiments, code, results, and product improvements

• Low ego, high standards, fast execution

Compensation

• Salary of $150,000/year to $250,000/year

• Generous equity in the company

• Company-subsidized health insurance including medical, vision, and dental

• HSA, FSA, dependent care FSA, and 401(k) plans provided

• Regular wellness, commuter and learning subsidies

We are a small founding team with unusually deep experience across machine learning, hedge fund technology, and investment management. We recently raised a seed round from Gradient Ventures and other investors. Join our founding team to build the future of investing!