Researcher [33023]

We're a small, dedicated, mission-driven team and we intend to stay that way. We believe the best work happens when exceptionally talented people are given ownership, trust and the space to operate without bureaucratic friction. We work with urgency and intellectual honesty and expect new team members to match our velocity. We seek individuals who thrive at the frontier, who push beyond conventional limits, who bring curiosity and conviction in equal measure, and who want their work to have demonstrable impact in the world. If you're energized by the idea of a small team doing things that feel impossible, let’s build together.

ABOUT THE ROLE
As a Researcher, you will design, build, and improve the simulation systems that generate high-fidelity synthetic agents from real-world profiles. The Research team is responsible for the company's core simulation capabilities — the technology that enables our customers to test decisions against realistic populations before committing to them.

RESPONSIBILITIES
Design and advance methods for synthesizing realistic agents from structured and unstructured profile data
Build and evaluate simulation pipelines that produce population-level distributional accuracy across demographic, attitudinal, and behavioral dimensions
Develop techniques for grounding agent behavior in real-world data sources — surveys, behavioral traces, psychometric instruments, and domain-specific datasets
Design hybrid architectures that combine large language models with classical methods from computational social science, psychometrics, and survey methodology
Build rigorous evaluation frameworks that measure simulation quality against known ground-truth distributions (e.g., GSS, census, proprietary panel data)
Identify and close gaps between simulated and observed population behavior through iterative experimentation
YOU MAY BE A FIT IF
You have deep experience with synthetic data generation, agent-based modeling, computational social science, or population simulation
You are interested in using LLMs as a simulation substrate — not just for text generation, but for producing structured behavioral outputs that hold up under statistical scrutiny
You think carefully about what it means for a simulation to be "accurate" and can articulate the difference between individual-level plausibility and distributional fidelity
You have a PhD in ML, computational social science, cognitive science, statistics, psychometrics, or a quantitative field — or equivalent depth from industry research
You communicate clearly about what's working and what isn't, including when results are null or ambiguous
You move fast and are comfortable producing work at high velocity without sacrificing rigor
STRONG CANDIDATES MAY ALSO
Have built systems that generate or evaluate synthetic populations at scale
Have experience with survey methodology, psychometrics, or demographic modeling
Have published work on agent-based simulation, synthetic data, or LLM-based behavioral modeling
Have worked in a high-velocity research environment where shipping matters as much as rigor
LOCATION
This role is based in New York City. This is an in-person company and during this exciting period of hypergrowth, we work 6 days a week in office. Candidates are expected to be located within the New York City metropolitan area or open to relocation.

BENEFITS
We take care of our people. In addition to a competitive base salary and equity participation, we offer comprehensive medical, vision, and dental coverage, visa sponsorship and relocation support, and various other benefits and perks.
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