
About Opendoor
Revolutionizing home buying and selling online
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...
Skills & Technologies
Overview
Opendoor is seeking a Senior Research Scientist to advance applied machine learning and AI initiatives. You'll tackle complex ML problems and contribute to production codebases using Python. This role requires 5+ years of experience in developing and deploying ML models.
Job Description
Who you are
You have 5+ 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 and coding skills in Python enable you to contribute effectively to production codebases. You possess hands-on experience with deep learning architectures, including ConvNets and Transformers, which allows you to tackle a range of challenging ML problems. Your solid foundation in statistics and experimental design equips you to make data-driven decisions and communicate technical ideas clearly to cross-functional stakeholders. You are comfortable collaborating with others and have strong communication skills that help you convey complex concepts effectively. A genuine interest in real estate is a plus, as you will engage deeply with housing data, even if you don't have prior experience in the field.
Desirable
Familiarity with Pyspark and distributed data processing is a nice-to-have, as it will enhance your ability to work with large datasets. A background in search, recommendation systems, or personalization will also be beneficial in this role. Experience working with large language models (LLMs) or vision-language models (VLMs) will further strengthen your candidacy.
What you'll do
In this role, you will push the boundaries of applied machine learning and AI at Opendoor, significantly impacting our valuation systems to ensure accurate and transparent pricing. You will 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. Your contributions will help shape the future of homeownership by leveraging advanced machine learning techniques to improve our services. You will collaborate closely with cross-functional teams to design and implement innovative solutions that enhance our pricing models and overall customer experience. Your work will directly influence how we utilize data to drive business decisions and improve operational efficiency.
What we offer
At Opendoor, we are building the modern system of homeownership, giving people the freedom to buy and sell on their own terms. You will be part of a mission-driven team that is dedicated to transforming the real estate industry. We offer a collaborative work environment where your ideas and contributions are valued. You will have the opportunity to work on impactful projects that help thousands of people navigate the home buying and selling process. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds.
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