Remote Applied Research Scientist — World Models
Partner Company
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Benefits offered by this job
Job summary
Partner Company is building AI models to understand housing market dynamics and help consumers make informed real estate decisions. The role focuses on developing unified models of housing markets and design ML systems for uncertainty-aware market simulations.
The position requires a PhD in a quantitative field with world model expertise, strong Python and PyTorch/TensorFlow skills, and offers a fully remote US work arrangement with equity awards and a competitive salary.
Qualifications
- PhD in quantitative field with world model expertise.
- Strong Python and PyTorch/TensorFlow skills.
- Fully remote US work, equity awards, and competitive salary.
- Professional growth and technical leadership opportunities.
Responsibilities
- Build latent state-space models and causal inference methods.
- Evaluate model validity and translate research into production.
- Design ML systems for uncertainty-aware market simulations.
Skills
Education
Tools
Job description
Partner Company is building AI models to understand housing market dynamics and help consumers make informed real estate decisions. The role focuses on developing unified models of housing markets and design ML systems for uncertainty-aware market simulations.
The position requires a PhD in a quantitative field with world model expertise, strong Python and PyTorch/TensorFlow skills, and offers a fully remote US work arrangement with equity awards and a competitive salary.
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