{"id":661882,"url":"https://alion.io/job/aaru-population-simulation-researcher","title":"Researcher, Population Simulation","company":{"id":668926,"name":"Aaru","domain":"aaru.com","url":"https://alion.io/company/aaru","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":80,"open_postings":8,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":10,"computed_at":"2026-10-31T05:58:55Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":200000,"max":600000,"currency":"USD","period":"year","gross":null,"usd_annual":600000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"LLM","optional":false},{"name":"Synthetic Data","optional":false}],"status":"live","first_seen_at":"2026-03-08T15:21:57Z","employer_posted_date":"2026-03-08","last_verified_at":"2026-10-31T07:42:00Z","board_verified":true,"closed_at":null,"days_open":236,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":236},"description":"ABOUT AARU\nAaru operates at the frontier of predictive intelligence, using AI to simulate and predict human behavior at scale. By generating and deploying instances of artificial intelligence that mirror humans, called agents, Aaru simulates entire populations with unprecedented accuracy. Our partners use Aaru to refine strategic positioning, identify and understand high-value audiences, validate concepts and messaging before launch, optimize pricing decisions, and build a continuously richer understanding of their customers through simulation. We provide organizations with invaluable foresight, empowering them to anticipate outcomes and proactively make the right decisions at the right time, every time.\nWe'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.\nABOUT THE ROLE\nAs 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.\nRESPONSIBILITIES\nDesign and advance methods for synthesizing realistic agents from structured and unstructured profile data\n\nBuild and evaluate simulation pipelines that produce population-level distributional accuracy across demographic, attitudinal, and behavioral dimensions\n\nDevelop techniques for grounding agent behavior in real-world data sources - surveys, behavioral traces, psychometric instruments, and domain-specific datasets\n\nDesign hybrid architectures that combine large language models with classical methods from computational social science, psychometrics, and survey methodology\n\nBuild rigorous evaluation frameworks that measure simulation quality against known ground-truth distributions (e.g., GSS, census, proprietary panel data)\n\nIdentify and close gaps between simulated and observed population behavior through iterative experimentation\n\nYOU MAY BE A FIT IF\nYou have deep experience with synthetic data generation, agent-based modeling, computational social science, or population simulation\n\nYou 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\n\nYou think carefully about what it means for a simulation to be \"accurate\" and can articulate the difference between individual-level plausibility and distributional fidelity\n\nYou have a PhD in ML, computational social science, cognitive science, statistics, psychometrics, or a quantitative field - or equivalent depth from industry research\n\nYou communicate clearly about what's working and what isn't, including when results are null or ambiguous\n\nYou move fast and are comfortable producing work at high velocity without sacrificing rigor\n\nSTRONG CANDIDATES MAY ALSO\nHave built systems that generate or evaluate synthetic populations at scale\n\nHave experience with survey methodology, psychometrics, or demographic modeling\n\nHave published work on agent-based simulation, synthetic data, or LLM-based behavioral modeling\n\nHave worked in a high-velocity research environment where shipping matters as much as rigor\n\nLOCATION\nThis role is based in New York City. 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