Researcher, Synthetic Data & Agent-Based Modeling (NYC)

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.
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