Qualifications
What You'll NeedProficient in Python with robust software engineering skills and experience in contributing to production codebases. Proven track record in developing and deploying ML models through all phases - from research and prototyping to production implementation. Hands-on experience with deep learning frameworks such as ConvNets, Transformers, or equivalent. Advanced degree (MS or PhD) in computer science, statistics, mathematics, or a related quantitative discipline. Strong foundation in statistics and experimental design. Excellent communication and collaboration abilities, with comfort in engaging with cross-functional stakeholders and articulating complex technical concepts clearly. Nice to HaveFamiliarity with Pyspark and distributed data processing. Experience with search, recommendation systems, or personalization technologies. Exposure to large language models (LLMs) or vision-language models (VLMs). A genuine interest in the real estate sector, engaging deeply with housing data is a plus.
About the job
Opendoor is looking for an Applied Scientist to join the Seattle team. This role is open to candidates from mid to principal levels. The position centers on applied machine learning and artificial intelligence, with a focus on improving the company’s valuation systems. The work directly supports more accurate and transparent pricing for customers.
What you will do
- Develop and refine machine learning models that power Opendoor’s pricing and valuation systems
- Tackle a variety of machine learning challenges, such as multi-modal modeling and optimizing operations
- Work with both structured and unstructured data to strengthen decision-making processes
- Contribute to projects that influence how Opendoor delivers value to customers
Location
This position is based in Opendoor’s Seattle, Washington office.
About Opendoor
Opendoor is revolutionizing the real estate experience by leveraging technology and data to simplify the process of buying and selling homes. Our goal is to make real estate transactions faster, easier, and more transparent for everyone involved.
