Senior Applied Scientist, Shopping AI
About The Position
The Shopping AI team is at the heart of Zillow Group’s mission to create a seamless digital real estate marketplace. We build and own the machine learning systems that power Zillow’s core user experiences—like personalized search, recommendations, and display optimization—across our apps and websites. Our close-knit group of engineers and scientists collaborates with product and design to apply the latest AI advancements, tackling large-scale challenges and shaping the future of home shopping at Zillow. As a Sr. Applied Scientist, you will help drive the next generation of ranking, recommendation, and generative AI systems for Zillow’s home-shopping experience. Your work will directly impact how millions of users discover and shop for homes, as you research, design, and deploy innovative machine learning models that power key product features. You’ll collaborate across disciplines to deliver solutions that make home shopping more intuitive, personalized, and efficient.
Requirements
- Bachelor’s degree in Computer Science, Statistics, Mathematics, Electrical Engineering, or a related quantitative field.
- 8+ years of experience applying machine learning or advanced statistical modeling in an industry setting, including delivering models into production environments.
- Proven experience working with large-scale data sets, experimentation or A/B testing, and model performance measurement in support of consumer or enterprise products.
- Demonstrated success collaborating in cross-functional teams to turn data and research insights into shipped features or operational improvements.
- Or an equivalent combination of education and experience.
Responsibilities
- Lead the end-to-end design, development, and deployment of applied machine learning models and algorithms, from problem formulation and data exploration through experimentation, evaluation, and productionization.
- Architect robust, scalable pipelines for data preparation, feature engineering, model training, and model serving in partnership with data and software engineering teams.
- Conduct rigorous offline analyses and online experiments to evaluate model performance, interpret results, and recommend data-driven improvements to product experiences and business metrics.
- Collaborate with product, engineering, and analytics partners to translate ambiguous business needs into clear scientific requirements and technical roadmaps, aligning work with customer and company goals.
- Implement and champion responsible AI practices, including model monitoring, fairness and bias checks, and continuous improvement of models in production.
- Mentor and coach other applied scientists and engineers by reviewing designs, sharing best practices, and guiding the adoption of modern machine learning techniques and tools.
Benefits
- equity awards based on factors such as experience, performance and location
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What This Job Offers
Job Type
Full-time
Career Level
Senior
