[Remote] Senior Applied Scientist, Shopping AI

Note: The job is a remote job and is open to candidates in USA. Zillow is hiring a Senior Applied Scientist for its Shopping AI team. The role researches, designs, and deploys machine learning models for ranking, recommendations, and generative AI, improving home discovery and shopping experiences.

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

Skills

• 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

Benefits

• This position is also eligible for equity awards based on factors such as experience, performance and location. Actual amounts will vary depending on experience, performance and location.
• Remote position: employees do not have a permanent corporate office workplace and work from a physical location of their choice, which must be identified to the Company. U.S. employees may live in any of the 50 United States, with limited exceptions.
• Through Cloud HQ, most employees have the flexibility to work from wherever they’re most productive.

Company Overview

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