Research Scientist – World Modeling

The role

You will build learned world models that compress multi-modal operational data into decision-relevant representations. You will also model transition dynamics and build digital twins of customer operations to support forecasting and optimization.

What you will do

• Design and build learned world models that compress messy, multi-modal operational data into tractable, decision-relevant representations.
• Model the transition dynamics of real operations so downstream systems can run counterfactuals.
• Build and validate digital twins of customer operations, benchmarked against replayable, real-world testbeds.
• Partner closely with the forecasting and optimization teams.
• Partner with engineers to deploy world models into live customer environments and push toward end-to-end production systems.

Required qualifications

• PhD degree in Computer Science, Operations Research, Industrial Engineering, or Applied Mathematics or have equivalent research/industry experience.
• Have depth in simulation or world modeling
• Have experience in novel machine learning techniques for control and optimization, including test-time search and reinforcement learning for sequential decision-making.
• Are comfortable implementing and debugging large-scale optimization systems, and designing benchmarks with real, defensible ground truth.
• Are motivated by impact in critical industries including healthcare, supply chains, energy, and finance.
• Have a proven track record of execution.
• Are an excellent communicator with both technical and non-technical stakeholders.
• Enjoy extreme ownership.

Nice to have

• Are passionate about AI's transformative potential

Benefits

• competitive compensation
• equity
• 401(k) matching
• comprehensive health and family benefits
• lunch every day

About the company

Percepta is a direct partnership with General Catalyst, a global transformation and investment company. Their mission is to transform critical institutions with applied AI.