Zillow Group is looking to build a seamless digital real estate marketplace by redefining how millions of people discover and shop for homes, and the Shopping AI team is tasked with solving unique, large-scale challenges using the latest advancements in AI.
Requirements
- 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
- A Master's degree + 2 yrs or BS with a minimum of 4 yrs of experience (preferably in large consumer tech companies)
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.
Other
- Must be able to work remotely and identify a physical location of choice to the Company
- U.S. employees may live in any of the 50 United States, with limited exceptions
- Must be willing to sign a Proprietary Rights Agreement which includes confidentiality, intellectual property assignment, customer and employee non-solicitation, and non-competition provisions
- Must be able to comply with applicable state and local law regarding arrest or conviction records
- Must have a degree (preferably a Master's degree or BS with relevant experience)
