About this role
This Research Scientist role suits a candidate with expertise in simulation, optimization, or world modeling who wants to build digital twins for critical industries in New York City. The position involves designing learned world models to transform complex operational data into actionable representations for downstream planning.
Role Overview
Percepta seeks a Research Scientist for World Modeling in New York City to build systems that interpret the full complexity of real-world operations. The position focuses on creating models and agents that compress messy data into continuously updated digital twins for forecasting and optimization.
Key Responsibilities
Requirements
Skills and Tools
About the Company
Percepta focuses on transforming critical institutions in sectors such as healthcare, manufacturing, and energy through applied artificial intelligence. The organization operates as a direct partnership with General Catalyst, utilizing forward-deployed expertise, the Mosaic in-house toolkit, and strategic partnerships with industry leaders like Anthropic, McKinsey, and AWS.
How to Apply
Interested candidates should visit the official Percepta careers page to submit an application.
Skills and tech stack
Questions candidates ask
Where is the Research Scientist position located?
The role is located in New York City.
What educational background is required?
A PhD degree in Computer Science, Operations Research, Industrial Engineering, or Applied Mathematics is required, or equivalent research and industry experience.
What industries does Percepta target with its AI solutions?
Percepta targets critical industries including healthcare, manufacturing, energy, supply chains, and finance.
What kind of systems will the Research Scientist build?
The scientist will build learned world models, transition dynamics models, and digital twins of customer operations.