Research Scientist

PendoSan Francisco, CA, United States

job_description.job_card.variable_days_ago

serp_jobs.job_preview.job_type

serp_jobs.job_card.full_time

job_description.job_card.job_description

About the Role

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.

What You'll Need

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

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 $176,000-221,000 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 TAops-accomodations@opendoor.com.

#J-18808-Ljbffr

serp_jobs.job_alerts.create_a_job

Research Scientist • San Francisco, CA, United States