Applied Scientist AI/ML

Responsibilities

• Design and deploy architectural improvements to deep neural network (DNN)-based home valuation models
• Build interpretable ML models to explain pricing decisions to customers
• Incorporate unstructured data, such as images, videos, or text, into forecasting and valuation pipelines using LLMs and VLMs
• Collaborate with Engineering and Operations teams to enhance human-in-the-loop pricing systems
• Improve feature engineering and model training pipelines for production systems
• Develop and rethink risk and optimization models using real-world data and domain insights

Requirements

• Advanced degree (MS or PhD) in computer science, statistics, mathematics, or a related quantitative field
• Strong software engineering and coding skills in Python, including experience with production codebases
• Experience developing and deploying ML models end-to-end from research to production
• Hands-on experience with deep learning architectures (e.g., ConvNets, Transformers)
• Solid foundation in statistics and experimental design
• Strong communication skills with the ability to collaborate with cross-functional stakeholders

Preferred Qualifications

• 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)
• A genuine interest in real estate and housing data

About the Company

Opendoor is building the modern system of homeownership, giving people the freedom to buy and sell homes on their own terms. Our mission is to tilt the world in favor of homeowners by providing an end-to-end online experience that simplifies the real estate process.