Researcher, Synthetic Data & Agent-Based Modeling (NYC)
Stealth Startup
New York (NY)
On-site
USD 120,000 - 160,000
Full time
14 days+
Application generator
An application made for this job — a tailored resume and cover letter that speak straight to the posting.
Get past ATS filters
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
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.