[Remote] Machine Learning Engineer, Zillow Shopping AI

Note: The job is a remote job and is open to candidates in USA. Zillow is a leading real estate platform aimed at transforming the way people navigate the real estate market. The Machine Learning Engineer will design, build, and deploy machine learning models that enhance the Zillow app and website, focusing on improving user experiences through personalized recommendations and advanced AI technologies.ResponsibilitiesDesign, build, and ship production new machine learning models that power core product features on the Zillow app, website, and email/push notificationsHelp re-architect our core home ranking and recommendation systems to support advanced neural networks and dramatically accelerate the pace of experimentation across surfacesOwn the full lifecycle of your models, from offline experimentation and prototyping with massive datasets to online deployment, A/B testing, and performance monitoringPioneer the application of cutting-edge deep learning and large language models (LLMs) to improve our home shopping experienceDevelop new AI components that optimize how we display and when we recommend homes, ensuring we connect shoppers with the right content on the right properties at the right timeCollaborate in a cross-functional group of engineers, applied scientists, product managers, and designers to define, execute, and iterate on the team's strategic roadmapContribute to the team's engineering excellence by improving our machine learning infrastructure, development standards, and shared toolingSkills1-3 years of experience in developing applications in search, personalized ranking, or recommender systemsExperience developing and deploying ML models that scale to high-traffic, latency sensitive customer-facing services (100s of millions of requests per day)Strong programming skills in a high-level language such as Python or JavaFamiliarity with common machine learning libraries like PyTorch, TensorFlow, Catboost, scikit-learn and huggingface (repository)Expertise with large scale distributed data processing systems such as Hive, Spark, Airflow, or DatabricksExperience owning the full lifecycle of customer facing machine learning models, from offline experimentation and prototyping to online deployment, A/B testing, and performance monitoringHere at Zillow - we value the experience and perspective of candidates with non-traditional backgrounds. We encourage you to apply if you have transferable skills or related experiencesA Master's degree + 2 yrs or BS with a minimum of 4 yrs of experience (preferably in large consumer tech companies)Prior experience or high level of curiosity with generative AI and excitement to collaborate on what they've learned!BenefitsIn addition to a competitive base salary this position is also eligible for equity awards based on factors such as 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.Zillow was named one of FORTUNE 100 Best Companies to Work For® in 2025, and included on the PEOPLE Companies That Care® 2025 list, reflecting our commitment to creating an innovative, inclusive, and engaging culture where employees are empowered to grow.Zillow Group is an equal opportunity employer committed to fostering an inclusive, innovative environment with the best employees.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.Company OverviewZillow is an online real estate marketplace for finding and sharing information about homes, real estate, and mortgages. It is a sub-organization of Zillow Group. It was founded in 2005, and is headquartered in Seattle, Washington, USA, with a workforce of 5001-10000 employees. Its website is http://www.zillow.com.Company H1B SponsorshipZillow has a track record of offering H1B sponsorships, with 12 in 2026, 179 in 2025, 150 in 2024, 171 in 2023, 256 in 2022, 239 in 2021, 195 in 2020. Please note that this does not guarantee sponsorship for this specific role.