This position is a hybrid role requiring employees to work from our headquarters location in Seattle, WA every Tuesday and Wednesday, and remote all other days. Hybrid from Seattle is the preferred location but this role is open to fully remote candidates. Redfin is revolutionizing the $75 billion real estate industry. We use data, beautiful software, and innovative design to put customers first at every step in the home-buying and selling process. Get ready to dive headfirst into our award-winning website and mobile apps, solving complex business problems in a highly visible, customer-centric way. If you value doing great work in a collaborative environment, join our team! The Applied Machine Learning group at Redfin works towards redefining real estate in the customer’s favor using machine learning. We work on foundational problems in the real estate space including recommendations (“Where should I live?”) and price estimation (“How much is a home worth?”). The Brokerage Recommendations product alone, which we power drives 27% of all traffic to Redfin platforms. We have real estate data at a national level and work across various domains in machine learning using large-scale multi-modal property data (documents, images, text, video, 3D scans etc.). Our team also owns and maintains end-to-end production-grade large-scale machine learning infrastructure and systems serving hundreds of millions of consumers. As a Senior Data Science Engineer for the Applied Machine Learning Team, your job is to leverage advanced analytical techniques and statistical modeling to extract meaningful insights from our vast datasets, driving the development and improvement of our machine learning solutions. You will work with an experienced group of machine learning engineers and researchers with robust research to production culture.