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Role Overview:
- Develop unified models of housing markets, demand, and economic conditions.
- Design ML systems for uncertainty-aware market simulations.
Key Responsibilities:
- Build latent state-space models and causal inference methods.
- Evaluate model validity and translate research into production.
Requirements:
- PhD in quantitative field with world model expertise.
- Strong Python and PyTorch/TensorFlow skills.
Benefits:
- Fully remote US work, equity awards, and competitive salary.
- Professional growth and technical leadership opportunities.
Partner Company
The partner company is building AI models to understand housing market dynamics and help consumers make informed real estate decisions. It offers a distributed, remote-first culture that emphasizes research ownership, collaboration, and professional growth.