Researcher [33023]

Stealth Startup; New York (NY); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Medical coverage

Vision coverage

Dental coverage

Visa sponsorship

Relocation support

Job summary

Stealth Startup is seeking a Researcher in New York City to design and improve simulation systems generating synthetic agents from real-world profiles. Responsibilities include synthesizing realistic agents, building evaluation frameworks, and experimenting to close gaps in population behavior. Candidates should have a PhD in ML or a related field, along with deep experience in synthetic data generation and modeling. This in-person role requires candidates to be in the NYC metropolitan area or open to relocation. Comprehensive benefits include competitive salary, medical coverage, and relocation support.

Qualifications

• Deep experience with synthetic data generation.
• Interest in using LLMs for structured behavioral outputs.
• Ability to articulate simulation accuracy distinctions.

Responsibilities

• Design methods for synthesizing realistic agents.
• Build and evaluate simulation pipelines.
• Develop techniques for grounding agent behavior in data sources.
• Design hybrid architectures combining LLMs and classical methods.
• Build evaluation frameworks for simulation quality.
• Identify and close gaps in population behavior.

Skills

Synthetic data generation

Agent-based modeling

Computational social science

Population simulation

Survey methodology

Education

PhD in ML or related field

Job description

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.