Opendoor is looking to improve its valuation systems and provide the most accurate and transparent pricing possible by pushing the boundaries of applied machine learning and AI.
Requirements
Strong software engineering and coding skills in Python, with experience contributing to production codebases
Hands-on experience with deep learning architectures, including ConvNets, Transformers, or similar
Familiarity with Pyspark and distributed data processing
Background in search, recommendation systems, or personalization
Experience working with large language models (LLMs) or vision-language models (VLMs)
Responsibilities
Design and deploy architectural improvements to our deep neural network (DNN)-based home valuation models
Build interpretable ML models that can help us explain pricing decisions to customers
Incorporate unstructured data — like images, videos, or text — into our forecasting and valuation pipelines using cutting-edge AI models (LLMs, VLMs, etc.)
Collaborate with Engineering and Ops to enhance our human-in-the-loop pricing systems
Improve the feature engineering and model training pipelines that power our production systems
Rethink our risk and optimization models using real-world data and domain insight
Other
Advanced degree (MS or PhD) in computer science, statistics, mathematics, or a related quantitative field
Strong communication and collaboration skills — you’re comfortable working with cross-functional stakeholders and can communicate technical ideas clearly
A genuine interest in real estate — no prior experience required, but you'll engage deeply with housing data
Unlimited PTO, medical/dental/vision insurance, life insurance, and 401(k) to eligible employees
