Senior Applied Scientist
2 days ago
The Zillow Group's Search & Conversational AI team is a dynamic group of scientists and engineers working together to deliver a personalized search experience to customers using machine learning models and data updated in near real-time. We believe in accountability, collaboration, and transparency, and are committed to driving innovation in the field of conversational AI.
About the RoleZillow is seeking a Senior Applied Scientist to join the Search & Conversational AI team. This is a high-impact position that will shape the future of search in the real-estate domain by influencing multiple Zillow Group brands, including Zillow, Trulia, and StreetEasy. The successful candidate will be hands-on in prototyping ideas, conducting analyses, and evaluating and deploying models to Zillow's highly scalable infrastructure platforms.
Key Responsibilities- Leverage customer data to construct ranking models that deliver a personalized search and conversational experience
- Use vector embeddings search and information retrieval techniques to find relevant data
- Create an immersive user experience by utilizing language models to comprehend and guide customer queries
- Scale systems to handle 1 billion searches per day and be highly performant
- Build task-oriented conversational experiences using retrieval-augmented generation (RAG) over large language models (LLMs)
- Manage cost vs performance tradeoffs and make the systems operationally efficient
- Mentor other scientists and engineers to architect using the right models and tools
- Share knowledge and effectively communicate ideas to both technical and non-technical audiences
- Be the focal point for science projects, coordinating deliverables, writing papers, modeling, authoring designs, and creating science plans
- Keep up with the latest advancements in LLMs, personalized ranking/recommender systems, and conversational AI systems to iterate, experiment, and bring the right toolkits
We are looking for a highly skilled and experienced Applied Scientist with a Ph.D. or another advanced degree in Computer Science with a focus on Machine Learning and Natural Language Processing. The ideal candidate will have 5+ years of hands-on experience building ML/AI systems for search, ranking, or recommender systems, and fluency in building fine-tuned language models for solving domain-specific problems.
The successful candidate will also have expertise in machine learning tools and packages like Python, NumPy, Pandas, Scikit-learn, SciPy, PyTorch, and TensorFlow, as well as knowledge of state-of-the-art methods and experience developing unique and original models to solve complex problems.
We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. If you have a disability or special need that requires accommodation, please contact your recruiter directly.
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