Senior Machine Learning Engineer, Shopping AI

Zillow is a leading real estate platform dedicated to creating a seamless digital marketplace for home buyers and sellers. The Senior Machine Learning Engineer for the Shopping AI team will design and implement machine learning models that enhance user experiences on Zillow's platforms, collaborating closely with cross-functional teams to innovate and optimize the home shopping process.

Responsibilities:

• Design, build, and ship production new machine learning models that power core product features on the Zillow app, website, and email/push notifications
• 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
• Act as a key technical voice, mentoring other engineers and helping to shape the long-term vision for artificial intelligence in the home shopping experience

Requirements:

• 3-5 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 + 3 yrs or BS with a minimum of 5 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!