🛠 Tech Stack

💼 About This Role

You'll push the boundaries of applied ML and AI at Opendoor, working on multi-modal modeling and operational optimization across valuation systems. You'll help rethink how we use structured and unstructured data to make better decisions for customers. Join a small, nimble team with ample opportunity to work across the entire research and modeling stack.

🎯 What You'll Do

• Design and deploy improvements to DNN-based home valuation models
• Build interpretable ML models to explain pricing decisions
• Incorporate unstructured data into forecasting pipelines using LLMs/VLMs
• Enhance feature engineering and model training pipelines

📋 Requirements

• Python software engineering skills for production codebases
• End-to-end development and deployment of ML models in production
• Hands-on experience with deep learning architectures like ConvNets, Transformers
• Advanced degree (MS or PhD) in CS, statistics, or related quantitative field

✨ Nice to Have

• Familiarity with PySpark and distributed data processing
• Background in search, recommendation systems, or personalization
• Experience with LLMs or vision-language models

🎁 Benefits & Perks

• 🏖️ Unlimited PTO
• 🏥 Medical/dental/vision insurance
• 💰 Life insurance
• 🏦 401(k)
• 📈 RSUs

📨 Hiring Process

Estimated timeline: 2-3 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Phone Screen· 60 min
3. 3Onsite Interviews· 4 hours