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.
What You'll Need- 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.
#LI-RO
Skills Required
- Strong software engineering and coding skills in Python
- Experience developing and deploying ML models end-to-end
- Hands-on experience with deep learning architectures
- Advanced degree in computer science, statistics, or related field
- Strong communication and collaboration skills
Opendoor Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Opendoor and has not been reviewed or approved by Opendoor.
-
Healthcare Strength — Health coverage is broad, including medical, dental, vision, life/AD&D, short- and long-term disability, HSAs/FSAs, and mental-health/EAP resources. Company materials and current job listings consistently describe these as core offerings for U.S. full-time employees.
-
Leave & Time Off Breadth — Time off is presented as generous, with PTO, sick leave, volunteer time, and in some roles 12 paid holidays. Several postings and profiles also reference open/unlimited PTO in certain job families.
-
Equity Value & Accessibility — Equity grants and an Employee Stock Purchase Plan are commonly included alongside base pay and incentives. Public filings and employer profiles indicate these ownership programs are broadly accessible across many roles.
Opendoor Insights
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 85,000 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
Gallery
