Data Scientist

Posted 3 Hours Ago
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2 Locations
Hybrid
197K-272K
Expert/Leader
eCommerce • Fintech • Real Estate • Software • PropTech
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The Role
The role involves developing and deploying end-to-end machine learning models, enhancing valuation systems, and applying advanced AI techniques to improve data-driven decision-making.
Summary Generated by Built In
About the Role

We’re looking for an experienced Staff 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.

What You'll Need
  • Strong software engineering and coding skills in Python, with experience contributing to production codebases

  • 7+ 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

Nice to Have
  • 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 

What You'll Do
  • 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.

Compensation

The base pay range for this position is $197,000-271,700 annually, plus RSUs and bonuses. 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.


 
About us…. Powering life’s progress, one move at a time

Since 2014, we’ve been reinventing life’s most important transaction with a new, simple way to buy and sell a home. The traditional real estate process is broken, and our mission is clear: build a digital, end-to-end experience that makes buying and selling a home simple and certain. 

We’re a team of problem solvers, innovators, and operators building the largest, most trusted platform for residential real estate. Whether it’s starting a family, taking a new job, or making a life change, we help people move forward with confidence. 

This work isn’t easy, and it’s not for everyone. But if you want to be part of a team that’s tilting the world in favor of people who want to sell, buy, or own a home then you’ll find purpose here. 

Opendoor Values Openness

We believe that being open about who we are and what we do allows us to be better. Individuals seeking employment at Opendoor are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, sexual orientation, gender identity or other protected status under all applicable laws, regulations, and ordinances. We collect, use, and disclose applicant personal information as described in our personnel privacy policies. To learn more, you can find the policy details for California residents here and for Canada residents here.

We are committed to assisting members of the military community in utilizing their skills at Opendoor. U.S. candidates are able to review your military job classification at MyNextMove.org and apply for positions that align with your expertise.

At Opendoor, we are committed to providing reasonable accommodations throughout our recruitment processes for candidates with disabilities, pregnancy, religious beliefs, or other reasons protected by applicable laws. If you require assistance or a reasonable accommodation, please contact us at [email protected].

Top Skills

AI
Convnets
Deep Learning
Llms
Pyspark
Python
Transformers
Vlms

What the Team is Saying

Daniel
Maggie
Sherry
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The Company
HQ: San Francisco, CA
1,600 Employees
Year Founded: 2014

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

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Opendoor Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Typical time on-site: Flexible
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HQSan Francisco, CA
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Atlanta, GA
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Bengaluru, IN
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Chennai, IN
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Dallas, TX
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Hyderabad, IN
Portland, OR
Raleigh, NC
Seattle, WA
Tempe, AZ
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