ABOUT THE ROLEAs a Researcher at Aaru, 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 Aaru'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
LOCATIONThis role is based in New York City. Aaru is an in-person company, working 5 days a week in office. Candidates are expected to be located within the New York City metropolitan area or open to relocation.
BENEFITSAt Aaru, 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.
