Remote World Model Scientist: Housing Market Forecasts

Jobgether; United States; Remote; USD 196,000 - 312,000; Full time

Benefits offered by this job

Fully Remote

Equity Awards

Research Ownership

Professional Growth

Technical Leadership

Inclusive Culture

Job summary

Jobgether in the United States is seeking an Applied Research Scientist, World Model, fully remote, responsible for developing a unified model capturing housing market dynamics, consumer demand, and economic conditions.

You will transform large-scale shopper data into predictive representations, enabling uncertainty-aware market simulations and multi-step predictions while collaborating with researchers, engineers, product teams, and data specialists.

Qualifications

• PhD in a quantitative field required.
• Proven track record in world models and causal ML.
• Experience with economics or market modeling preferred.

Responsibilities

• Develop a unified world model integrating housing market factors.
• Transform large-scale consumer data into predictive representations.
• Design ML systems for multi-step market predictions.
• Lead end-to-end research from hypothesis to production-ready capabilities.
• Collaborate with researchers, engineers, product teams, and data specialists.
• Mentor scientists and ML engineers.
• Evaluate models with calibration and rollout stability.
• Contribute to economic modeling and market dynamics research.

Skills

World Models

Latent States

Causal Inference

Python

ML Frameworks

Research Execution

Technical Leadership

Economics

Market Modeling

Multimodal Learning

Communication

Education

PhD Required

Tools

RSSM

Event Transformers

PyTorch

TensorFlow

Causal Tools

Job description

Jobgether in the United States is seeking an Applied Research Scientist, World Model, fully remote, responsible for developing a unified model capturing housing market dynamics, consumer demand, and economic conditions.

You will transform large-scale shopper data into predictive representations, enabling uncertainty-aware market simulations and multi-step predictions while collaborating with researchers, engineers, product teams, and data specialists.