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Research Scientist

Opendoor

Research Scientist

Opendoor

Seattle, Washington, United States

·

On-site

·

Full-time

·

1w ago

Compensation

$238,400 - $327,800

Benefits & Perks

Unlimited PTO

Healthcare

401(k)

Equity

Unlimited Pto

Healthcare

401k

Equity

Required Skills

Python

Machine Learning

Deep Learning

Statistics

Experimental Design

About the Role

We’re looking for an experienced Staff / Senior 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

9+ 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 Conv Nets, 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 $238,400 - $327,800 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.

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.

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About Opendoor

Opendoor

Opendoor

Public

Online company.

1,001-5,000

Employees

San Francisco

Headquarters

$1.2B

Valuation

Reviews

3.8

1 reviews

Work Life Balance

3.5

Compensation

3.5

Culture

4.0

Career

4.5

Management

4.0

75%

Recommend to a Friend

Pros

Proven business model

Good talent from top universities

Strong mentorship opportunities

Cons

Lower total compensation than competitors

Below market salary

Limited financial benefits

Salary Ranges

1 data points

Junior/L3

Junior/L3 · Business Analyst

0 reports

$118,405

total / year

Base

-

Stock

-

Bonus

-

$100,644

$136,166

Interview Experience

1 interviews

Difficulty

3.0

/ 5

Duration

14-28 weeks

Interview Process

1

Application Review

2

Recruiter Phone Screen

3

Technical Round

4

Final Round Interview

5

Offer Decision

Common Questions

Coding/Algorithm

Behavioral/STAR

Technical Knowledge

Past Experience