Zillow
Applied Scientist, Shopping AI
Remote-USA
Sponsorship not specified$136k-$218kDetected 22 days ago
PythonDatabricksMachine LearningDeep LearningTensorFlowPyTorchscikit-learnSparkAirflowData EngineeringData ScienceLLMsRAGA/B TestingCustomer SupportResearchCommunication
About the role
- 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 $136,300.00 - $217,700.00 annually.
- The base pay range is specific to these locations and may not be applicable to other locations.
Responsibilities
- 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.
- As an Applied Scientist, you will help drive the next generation of ranking, recommendation, and generative AI systems for Zillow's home-shopping experience.
- You'll collaborate across disciplines to deliver solutions that make home shopping more intuitive, personalized, and efficient.
- 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.
- Collaborate with engineers, product managers, and designers to define, execute, and iterate on impactful projects.
- Partner with data engineering and infrastructure teams to leverage large-scale distributed data systems for feature engineering and model training.
- Apply cutting-edge AI techniques, including LLM-based retrieval and RAG-style systems, to create more natural and conversational property search experiences.
- Optimize how and when homes are displayed to users, ensuring relevance and context in every interaction.
Requirements
- Demonstrated experience in at least one of the following: search/information retrieval, personalized ranking/recommender systems, or generative AI/LLM-based systems.
- Holds a PhD or Master's degree in a relevant field (Computer Science, AI, Data Science, or related), or equivalent industry experience (typically 3-4+ years with a Master's, or 1+ year with a PhD).
- Brings curiosity and excitement for applying generative AI and LLMs to transform the home-shopping experience.
- We encourage you to apply if you have transferable skills or related experiences.
Compensation
- In California, Connecticut, Maryland, Massachusetts, New Jersey, New York, Washington state, and Washington DC the standard base pay range for this role is $136,300.00 - $217,700.00 annually.
- The base pay range is specific to these locations and may not be applicable to other locations.
Benefits
- Develop and test novel modeling approaches, such as deep learning architectures and large language models (LLMs), to improve the home-shopping experience.
- Experienced in designing, training, and analyzing machine learning models to solve real-world business problems, not just academic benchmarks.
- 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.
- Research, design, and prototype new machine learning models for Zillow's consumer products, including search, ranking, recommendations, and notifications.
- 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.
- In addition to a competitive base salary this position is also eligible for equity awards based on factors such as experience, performance and location.
Company info
- The Shopping AI team is at the heart of Zillow Group's mission to create a seamless digital real estate marketplace.
Visa & Work Authorization
- al employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status
This listing is sourced directly from Zillow's careers page and normalized into a canonical job model.