Staff Engineer, World Model Development
Merlin Labs, Remote or Boston or San Francisco Bay Area
What you will do
- Design, train and evaluate world models that predict the evolution of aircraft state, environment and other traffic under candidate action sequences.
- Build the rollout and imagination machinery that lets a planner evaluate candidate plans against predicted outcomes before committing to one.
- Own uncertainty: calibrated predictive uncertainty and out-of-distribution signals are required outputs of your models, consumed directly by the safety monitoring layer.
- Characterize model validity boundaries rigorously — the flight regimes, weather, traffic densities and configurations where predictions can be trusted, and where they degrade.