Researcher

Aaru
New York
Workplace: OnsiteFull timeFunction: Research & Scientific (R&D)Education: phdSkills: ["Communication","Collaboration","Problem-solving","Critical thinking","Attention to detail"]

Design, build, and improve simulation systems to generate high-fidelity synthetic agents from real-world profiles, integrating LLMs with classical methods. You’ll develop pipelines, grounding data sources, and evaluation frameworks to measure population-level distributional fidelity, with a focus on rapid, rigorous research and impactful, scalable simulations.

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FursaFursa
Aaru
Aaru
3 months ago

Researcher

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Source: Company careers pageValidated by: Fursa AI
Last checked: 19 hours agoStatus: Live

Job Summary

Design, build, and improve simulation systems to generate high-fidelity synthetic agents from real-world profiles, integrating LLMs with classical methods. You’ll develop pipelines, grounding data sources, and evaluation frameworks to measure population-level distributional fidelity, with a focus on rapid, rigorous research and impactful, scalable simulations.
Location: New York
Workplace: Onsite
Employment Type: Full time
Job Function: Research & Scientific (R&D)

Key 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

Pay and Benefits

Perks:MedicalVisionDentalRelocationVisa Sponsorship

Key Requirements

  • •PhD in ML, computational social science, statistics, psychometrics, or a quantitative field — or equivalent depth from industry research
  • •Deep experience with synthetic data generation, agent-based modeling, computational social science, or population simulation
  • •Interest in using LLMs as a simulation substrate — producing structured behavioral outputs that hold up under statistical scrutiny
  • •Strong ability to communicate what’s working and what isn’t, including null or ambiguous results
  • •Ability to move quickly in a high-velocity research environment while maintaining rigor
Experience:Artificial intelligenceSimulationSynthetic dataComputational social science
Education:PhD / Doctorate
Skills:CommunicationCollaborationProblem-solvingCritical thinkingAttention to detail
Tech Stack:LLMsLarge language modelsAgent-based modelingSynthetic dataSurveysPsychometrics

Company Brief

Aaru
Aaru builds multi-agent simulation software that models entire populations to predict behavior and future events, replacing traditional research with decision-ready forecasts for enterprises, governments, and agencies across industries.
Industry: AI & Machine Learning
Company Size: Small (11 to 50 employees)
Revenue: USD 1M to 5M
Growth: Early Stage Startup
Valuation: Unicorn (USD 1B+)
Funding: Series A
Headquarters: San Francisco, United States
Founded: 2024
WebsiteLinkedIn