Opendoor

About Opendoor

Revolutionizing home buying and selling online

🏢 Tech👥 1001+ employees📅 Founded 2014📍 Financial District, San Francisco, CA💰 $1.5b3.9
B2CPropertyMarketplaceReal Estate

Key Highlights

  • Public company since 2021 with $8 billion in revenue
  • Raised $1.5 billion in funding to date
  • Headquartered in San Francisco, CA
  • Over 1,001 employees across multiple U.S. markets

Opendoor is a leading online platform for buying and selling homes, headquartered in the Financial District of San Francisco, CA. The company went public in 2021 and has raised $1.5 billion in funding, boasting a revenue of $8 billion, significantly surpassing its initial projections of $3.5 billion...

🎁 Benefits

Opendoor offers comprehensive benefits including 100% coverage for medical, dental, and vision insurance, a flexible vacation policy with most employe...

🌟 Culture

Opendoor's culture emphasizes efficiency and innovation in the real estate market, making the home selling process easy and stress-free. The company v...

Opendoor

Research Scientist Senior

OpendoorSeattle

Posted 1 month agoSeniorResearch Scientist📍 Seattle💰 $238,400 - $327,800 / yearly
Apply Now →

Overview

Opendoor is hiring a Senior Research Scientist to advance applied machine learning and AI in their valuation systems. You'll work with Python and tackle complex ML problems. This role requires 9+ years of experience in developing and deploying ML models.

Job Description

Who you are

You have 9+ years of experience developing and deploying machine learning models end-to-end — from research and prototyping to implementation in production systems. Your strong software engineering skills in Python allow you to contribute effectively to production codebases, ensuring high-quality outputs. You possess hands-on experience with deep learning architectures, including ConvNets and Transformers, which enables you to tackle a variety of challenging ML problems. Your advanced degree (MS or PhD) in computer science, statistics, mathematics, or a related quantitative field provides you with a solid foundation in statistics and experimental design. You are an excellent communicator and collaborator, comfortable working with cross-functional stakeholders and able to convey technical ideas clearly. You have a genuine interest in real estate, engaging deeply with housing data, even if you lack prior experience in the field.

Desirable

Familiarity with Pyspark and distributed data processing is a plus, as is a background in search, recommendation systems, or personalization. Experience working with large language models (LLMs) or vision-language models (VLMs) would also be beneficial, enhancing your ability to contribute to Opendoor's innovative projects.

What you'll do

In this role, you will push the boundaries of applied machine learning and AI at Opendoor, significantly impacting the company's valuation systems. You will work across a range of challenging ML problems, from multi-modal modeling to operational optimization, helping to rethink how structured and unstructured data can be utilized to make better decisions for customers. Your responsibilities will include designing and implementing machine learning models that enhance pricing accuracy and transparency. You will collaborate with various teams to ensure that the models you develop are effectively integrated into the company's systems, driving improvements in decision-making processes. You will also mentor junior team members, sharing your expertise and fostering a culture of learning and innovation within the team.

What we offer

At Opendoor, you will be part of a mission-driven company that is transforming the homeownership experience. We offer a competitive salary and benefits package, along with opportunities for professional growth and development. You will work in a collaborative environment where your contributions will have a direct impact on the company's success. Join us in building a modern system of homeownership that empowers people to buy and sell homes on their own terms.

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