Opendoor
real-estate e-commerce
San Francisco, CA

Machine Learning Engineer

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About Opendoor At Opendoor, we’re on a mission to make it simple to buy and sell homes. The traditional process is broken, with an average home taking over 90 days to sell and costing thousands of dollars. We make buying and selling a home stress-free and instant. We’ve built an exceptional team, have raised over $300 million from top-notch investors and are growing fast, buying and selling more than $100 million of homes per month. We’re seeking an exceptional Machine Learning Engineer to join our team. ML Engineers work closely with Data Scientists and Data Engineers to research and productize predictive services that power our data products. As a mix of engineering and machine learning, this work touches many areas. To give a few examples: supervised model training platform, geo-data feature extraction, crowdsourcing pipelines, and entity-resolution services.
  • Develop model training platform and reusable data infra components to enable rapid prototyping by our data scientists
  • Design and build customized learning systems and integrate it with our existing products
  • Build predictive services to price residential real-estate across Opendoor markets
  • Become a domain expert in real-estate
  • Industry experience working on a range of optimization problems (e.g., recommender system, fraud detection, click-through rate prediction)
  • Passion for expressive APIs and sound data infrastructure
  • Expert software development skills to apply to a wide range of ML-related projects
  • Knowledge of how modern relational databases work
  • Expertise with wrangling geo data
  • Familiarity with scientific Python stack and Postgres
  • Experience with front-end programming and building interactive data visualizations
  • You love delighting customers with honest, transparent products and experiences
  • Work with this stack
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