Senior Applied Scientist, Shopping AI

🕒 September 29

🇺🇸 United States – Remote

💵 $152.9k - $257.1k / year

⏰ Full Time

🟠 Senior

🧬 Research Scientist

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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Zillow

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 2006

🏠 Real Estate

🛍️ eCommerce

👥 B2C

💰 $4.1M Post-IPO Equity on 2012-12

Real Estate • eCommerce • B2C

Zillow is a leading real estate and property rental marketplace that provides comprehensive information on homes, apartments, and properties for sale or rent. It offers users tools to search for properties, calculate mortgage rates, and connect with real estate agents. The platform also features innovative algorithms that provide Zestimates, which are estimated market values of homes. Zillow is a go-to resource for individuals looking to buy, sell, or rent properties, as well as for agents and brokers who want to reach a wider audience.

📋 Description

• Lead end-to-end design, development, and deployment of applied machine learning models and algorithms • Perform problem formulation, data exploration, experimentation, evaluation, and productionization • Architect scalable pipelines for data preparation, feature engineering, model training, and model serving • Conduct offline analyses and online experiments to evaluate model performance • Interpret results and recommend data-driven improvements to product experiences and business metrics • Translate business needs into scientific requirements and technical roadmaps • Implement responsible AI practices, including model monitoring and fairness and bias checks • Mentor and coach applied scientists and engineers • Develop ranking, recommendation, and generative AI systems for Zillow’s home-shopping experience

🎯 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 • Experience delivering models into production environments • Experience with large-scale data sets • Experience with experimentation or A/B testing • Experience with model performance measurement for consumer or enterprise products • Demonstrated success collaborating in cross-functional teams • Equivalent combination of education and experience accepted • U.S. employees may live in any of the 50 United States, with limited exceptions

🏖️ Benefits

• Equity awards • Remote work from a physical location of choice • Flexible distributed work through Cloud HQ • Equal employment opportunity and workplace accommodations

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