Remote Principal Applied Scientist, World Model

ZINC Zillow, Inc.

United States

Remote

USD 196,000 - 312,000

Full time

4 days ago
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Benefits offered by this job

Equity awards
Remote work

Job summary

Zillow is seeking a Principal Applied Scientist to help build the Zillow World Model, a foundational, uncertainty-aware representation of the housing market that ties together supply, demand and macro conditions. You will partner with the World Model group and cross-functional teams to translate state-of-the-art research into production impact and guide decision-making across real estate markets.

The role emphasizes end-to-end research ownership, technical leadership, and mentorship, with a

Qualifications

  • PhD in Computer Science, Machine Learning, Statistics, Economics, or a related quantitative field.
  • Hands-on experience building latent state-space or world models with uncertainty.
  • Ability to turn large-scale user behavior data into structured demand representations.
  • Practical causal inference in observational settings and judgment on counterfactuals.
  • Proven record delivering open-ended research projects with technical leadership.
  • Strong programming skills, especially Python, plus ML frameworks such as PyTorch or TensorFlow.

Responsibilities

  • Build the demand layer of the World Model by converting shopper behavior into structured demand representations.
  • Design and train latent state-space or sequential dynamics models with calibrated uncertainty for multi-step rollouts.
  • Estimate willingness-to-pay and market-clearing dynamics.
  • Apply causal identification in observational data and determine when a counterfactual claim can be made.
  • Lead and mentor scientists and ML engineers to translate research into production impact.

Skills

Python
PyTorch
Causal inference
World models
Research leadership

Education

PhD in CS/ML/Statistics

Tools

PyTorch
TensorFlow

Job description

Zillow is seeking a Principal Applied Scientist to help build the Zillow World Model, a foundational, uncertainty-aware representation of the housing market that ties together supply, demand and macro conditions. You will partner with the World Model group and cross-functional teams to translate state-of-the-art research into production impact and guide decision-making across real estate markets.

The role emphasizes end-to-end research ownership, technical leadership, and mentorship, with a

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