[Remote] Machine Learning Engineer, Zillow Shopping AI

Note: The job is a remote job and is open to candidates in USA. Zillow is redefining the digital real estate marketplace through its Shopping AI team, which develops machine learning systems for personalized user experiences. The Machine Learning Engineer role involves designing and deploying ML models, enhancing recommendation systems, and collaborating with cross-functional teams to innovate in home shopping experiences. Responsibilities Design, build, and ship production new machine learning models that power core product features on the Zillow app, website, and email/push notifications Help re-architect our core home ranking and recommendation systems to support advanced neural networks and dramatically accelerate the pace of experimentation across surfaces Own the full lifecycle of your models, from offline experimentation and prototyping with massive datasets to online deployment, A/B testing, and performance monitoring Pioneer the application of cutting-edge deep learning and large language models (LLMs) to improve our home shopping experience Develop 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 time Collaborate in a cross-functional group of engineers, applied scientists, product managers, and designers to define, execute, and iterate on the team's strategic roadmap Contribute to the team's engineering excellence by improving our machine learning infrastructure, development standards, and shared tooling Skills 1-3 years of experience in developing applications in search, personalized ranking, or recommender systems Experience 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 Java Familiarity 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 Databricks Experience owning the full lifecycle of customer facing machine learning models, from offline experimentation and prototyping to online deployment, A/B testing, and performance monitoring Here 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 experiences A 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! Benefits Equity awards based on factors such as experience, performance and location Company Overview Zillow 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 Company H1B Sponsorship Zillow has a track record of offering H1B sponsorships, with 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.