Humans are unreliable narrators of their own behavior. Memory fails, incentives distort answers, and social pressure warps what people say away from what they actually do. Backed by General Catalyst, Felicis and Redpoint.
About the role
As an Applied AI Engineer, you will work on high-leverage initiatives at the intersection of AI systems, simulation infrastructure, and product development. You will improve existing capabilities, help prototype and evaluate promising company bets, and turn experimental ideas into reliable systems. The work is initiative-driven rather than defined by a fixed product roadmap or a single layer of the stack.
More about this role
Aaru builds simulations of human behavior. Each simulation contains a population of AI agents, each representing a person who could plausibly exist in the real world and capable of making decisions within a modeled environment. Companies and institutions use these simulations to test consequential choices before committing—from product launches and pricing decisions to strategic communications and policy changes.
Building a useful simulation requires more than generating plausible text. Populations must represent real people and groups; predictions must be calibrated; simulations must remain coherent as conditions change; and the product must make the resulting evidence legible enough to support real decisions.
We are a small, in-person team in New York. We work with urgency, high ownership, and intellectual honesty. We expect people to surface inconvenient evidence, change their minds quickly, and carry important work all the way to a result.
The Applied AI team works across the stack to improve Aaru's simulation pipelines and explore new product areas where simulations can be useful. The work can range from infrastructure and platform systems to frontend experiences and APIs. It...
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