About Opendoor 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. Backed by NEA, Norwest and SoftBank VF.
About the role
You're interviewing for Opendoor’s ML team which seeks to automate and refine every decision made in our product. We don't slot into silos; you'll build where you have the most impact and the most fun. These are builder roles across the ML stack. Wherever you land, you'll be doing one of three things:
What they're looking for
- Senior-level or above: deep experience shipping and operating production ML systems, ML-adjacent services, or data/ML platforms
- Strong fundamentals in Python, comfortable picking up new ones
- Proficiency with statistics and ability to reason distributionally, has put it to work with real-world monitoring of ML systems
- Expertise with the end-to-end ML lifecycle (training, evaluation, deployment, monitoring, and iteration) and associated tooling (e.g. MLflow, Airflow, Spark, Delta Lake)
- Demonstrated ability to make and communicate design decisions and tradeoffs across stakeholders
- Based in or willing to relocate to Miami, Toronto, or Seattle
More about this role
You're interviewing for Opendoor’s ML team which seeks to automate and refine every decision made in our product. We don't slot into silos; you'll build where you have the most impact and the most fun.
These are builder roles across the ML stack. Wherever you land, you'll be doing one of three things:
- Building models in business-critical contexts like pricing, risk, repairs, and decision optimization. Leverage frontier techniques to extend our capabilities into the unstructured world of real estate.
- Building the intelligent services that bring structured, precise decision-making into the highly unstructured world of real estate.
- Building platforms that accelerate how fast our models learn. How fast we learn dictates how fast this company can grow.
You'll work directly with researchers, product, and operations to build the automation that scales in the real world. Our systems must be agile, accurate, and resilient in a heterogeneous space. We are growing fast and this work is at the core.
This isn't a role for everyone. We choose hard mode. We're process-light, high-trust, and we don't put artificial boundaries between you and the work. You'll be expected to understand how...
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