Senior Applied Scientist, Shopping AI

About the team

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.

About the role

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.

You will get to

• 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.

This role has been categorized as a Remote position. “Remote” employees do not have a permanent corporate office workplace and, instead, 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.

In California, Connecticut, Maryland, Massachusetts, New Jersey, New York, Washington state, and Washington DC the standard base pay range for this role is $160,900.00 - $257,100.00 annually. This base pay range is specific to these locations and may not be applicable to other locations. In Colorado, Hawaii, Illinois, Maine, Minnesota, Nevada, Ohio, Rhode Island, Vermont, and Virginia the standard base pay range for this role is $152,900.00 - $244,300.00 annually. The base pay range is specific to these locations and may not be applicable to other locations.

In addition to a competitive base salary 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. Employees in this role will not be paid below the salary threshold for exempt employees in the state where they reside.

Who you are

• 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.

Get to know us

At Zillow, we’re reimagining how people move—through the real estate market and through their careers. As the most-visited real estate platform in the U.S., we help people navigate buying, selling, financing and renting with greater ease and confidence. Whether you're working in tech, sales, operations, or design, you’ll be part of a company reshaping an industry and helping more people make home a reality.

How we work is a key part of that transformation. Through Cloud HQ, our strategic approach to distributed work, most employees have the flexibility to work from wherever they’re most productive—enabling us to move fast, stay connected and deliver on our people promise. 

Zillow is honored to be recognized among the best workplaces in the U.S. Zillow was named one of FORTUNE 100 Best Companies to Work For® in 2026, and included on TIME’s America’s Best Companies 2026 list, reflecting our commitment to creating an innovative, inclusive, and engaging culture where employees are empowered to grow.

No matter where you sit in the organization, your work will help drive innovation, support our customers, and move the industry—and your career—forward, together.

Zillow Group is an equal opportunity employer committed to fostering an inclusive, innovative environment with the best employees. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please contact your recruiter directly.

Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable state and local law.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.