Research Scientist in Machine Learning and AI - Remote

Overview

We’re looking for an experienced Research Scientist to push the boundaries of applied machine learning and AI at Opendoor. While this role will have a significant impact on our valuation systems — ensuring we provide the most accurate and transparent pricing possible — the scope goes well beyond pricing. You’ll work across a range of challenging ML problems, from multi-modal modeling to operational optimization, helping us rethink how we use structured and unstructured data to make better decisions for our customers.

In Short

• 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.

Requirements

• Strong software engineering and coding skills in Python, with experience contributing to production codebases.
• 5+ years of experience developing and deploying ML models end-to-end — from research and prototyping to implementation in production systems.
• Hands-on experience with deep learning architectures, including ConvNets, Transformers, or similar.
• Advanced degree (MS or PhD) in computer science, statistics, mathematics, or a related quantitative field.
• Solid foundation in statistics and experimental design.
• Strong communication and collaboration skills — you’re comfortable working with cross-functional stakeholders and can communicate technical ideas clearly.

Benefits

• Unlimited PTO.
• Medical/dental/vision insurance.
• Life insurance.
• 401(k) to eligible employees.
• RSUs and bonuses.