Research Scientist – World Modeling

Percepta is an applied AI company focused on transforming critical institutions and industries through frontier technology. The Research Scientist – World Modeling will build learned world models and digital twins from multimodal operational data, model real-world transition dynamics, and deploy these systems into customer environments. The role partners with forecasting, optimization, and engineering teams to support counterfactual reasoning, calibrated predictions, and optimal decision-making.

Responsibilities:

• Design and build learned world models that compress messy, multi-modal operational data (notes, transcripts, contracts, telemetry) into tractable, decision-relevant representations
• Model the transition dynamics of real operations — how a workforce, facility, or network evolves state-to-state — so downstream systems can run counterfactuals before a decision touches a real person or asset
• Build and validate digital twins of customer operations, benchmarked against replayable, real-world testbeds with defensible ground truth
• Partner closely with the forecasting and optimization teams to ensure your representations are the right substrate for calibrated predictions and for finding optimal actions
• Bridge research into practice by partnering with engineers to deploy world models into live customer environments and push toward end-to-end production systems