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Applied AI engineering for enterprise transformation

Research Scientist - Optimization

Percepta is an applied AI company focused on transforming critical institutions and industries through frontier technology. The Research Scientist – Optimization will develop rigorous optimization methods combining machine learning, reinforcement learning, test-time search, and classical operations research to improve data-driven decision-making. The role will build benchmarks and simulators, advance optimizers into real-time production systems, and partner with engineers on customer engagements.

Research Scientist – Optimization

Research Scientist – Reinforcement Learning (RL)

Percepta is an applied AI company focused on transforming critical industries through frontier technology. The Research Scientist – Reinforcement Learning will advance RL research for real-world decision-making, develop experimental infrastructure and conduct large-scale evaluations, and collaborate with engineers and product managers to deploy successful research into robust platform features.

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.

Embedded Research Scientist

Percepta applies artificial intelligence to transform critical institutions and industries through customer-embedded engineering, product, and research teams. The Embedded Research Scientist will advance AI research in post-training, reinforcement learning, agentic modeling, and specialized architectures while translating breakthroughs into production systems and measurable customer outcomes.