Applied Scientist AI/ML

About Opendoor

At Opendoor our mission is to tilt the world in favor of homeowners and those who aim to become one. Homeownership matters. It's how people build wealth stability and community. It's how families put down roots how neighborhoods strengthen how the future gets built. We're building the modern system of homeownership giving people the freedom to buy and sell on their own terms. We’ve built an end-to-end online experience that has already helped thousands of people and we’re just getting started.

We’re looking for an Applied Scientist (ALL LEVELS) 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.

• Strong software engineering and coding skills in Python with experience contributing to production codebases
• 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

• 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 — no prior experience required but you'll engage deeply with housing data

• 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
• We’re a small nimble team — there’s ample opportunity to work across the entire research and modeling stack.

The base pay range for this position is $156800-$355000 annually plus RSUs. Pay within this range varies by work location and may also depend on your qualifications job-related knowledge skills and experience. We also offer a comprehensive package of benefits including unlimited PTO medical/dental/vision insurance life insurance and 401(k) to eligible employees.

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What We Do

Founded in 2014 Opendoor’s mission is to empower everyone with the freedom to move. We believe the traditional real estate process is broken and confusing. It often comes with unexpected costs the added burden of coordinating multiple third parties and the uncertainty of a transaction falling through. Our goal is simple: build a digital end-to-end customer experience that makes buying and selling a home simple certain and fast. We have assembled a dedicated team with diverse backgrounds and talents across engineering operations design operations mortgage finance legal and more to deliver strong results. More than 85000 customers have selected us as a trusted partner in handling one of their largest financial transactions.

Why Work With Us

We’re on a mission to power life’s progress one move at a time

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