Applied Research Scientist, World Model

What you’d do

Build and train latent state-space and sequential dynamics models of shopper demand, including willingness-to-pay and market clearing estimates, with causal identification and model evaluation. Full time, remote in the USA. Found on the employer's careers page on Oct 20, 2026. Apply through the link.

You’ll need

• Latent state-space and sequential dynamics modeling
• Calibrated uncertainty and multi-step rollouts
• Causal identification in observational data
• Large-scale shopper behavior data
• Model evaluation design