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トレンド企業

トレンド企業

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求人Opendoor

Research Scientist

Opendoor

Research Scientist

Opendoor

Office - Washington-Seattle

·

On-site

·

Full-time

·

1mo ago

報酬

$176,800 - $243,100

福利厚生

Unlimited Pto

Healthcare

401(k)

Equity

必須スキル

Python

Machine Learning

Deep Learning

Statistics

Experimental Design

About the Role

We’re looking for an experienced Research / Senior 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 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 $176,800-243,100 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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0

応募クリック数

0

模擬応募者数

0

スクラップ

0

Opendoorについて

Opendoor

Opendoor

Public

Online company.

1,001-5,000

従業員数

San Francisco

本社所在地

$1.2B

企業価値

レビュー

3.9

10件のレビュー

ワークライフバランス

3.2

報酬

4.0

企業文化

4.1

キャリア

3.0

経営陣

3.5

75%

友人に勧める

良い点

Flexible schedule/hours

Great team/colleagues

Interesting/innovative work

改善点

Fast-paced environment

Long hours/overwhelming workload

Limited career advancement/resources

給与レンジ

47件のデータ

Junior/L3

Mid/L4

Senior/L5

Junior/L3 · Data Scientist 2

0件のレポート

$161,140

年収総額

基本給

-

ストック

-

ボーナス

-

$136,969

$185,311

面接体験

1件の面接

難易度

3.0

/ 5

期間

14-28週間

面接プロセス

1

Application Review

2

Phone Screening

3

Technical Interview

4

Final Round

5

Offer Decision

よくある質問

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

System Design