Senior Applied Scientist, Agentic AI

🕒 March 15

🏄 California, Connecticut, +6 more states – Remote

🏄 California – Remote 🦌 Connecticut – Remote 🏛️ District of Columbia – Remote 🏖️ New Jersey – Remote 🗽 New York – Remote 🦀 Maryland – Remote 🍂 Massachusetts – Remote ☕ Washington – Remote

💵 $160.9k - $257.1k / year

⏰ Full Time

🟠 Senior

🧬 Research Scientist

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Zillow

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 2006

🏠 Real Estate

🛍️ eCommerce

👥 B2C

💰 $4.1M Post-IPO Equity on 2012-12

Real Estate • eCommerce • B2C

Zillow is a leading real estate and property rental marketplace that provides comprehensive information on homes, apartments, and properties for sale or rent. It offers users tools to search for properties, calculate mortgage rates, and connect with real estate agents. The platform also features innovative algorithms that provide Zestimates, which are estimated market values of homes. Zillow is a go-to resource for individuals looking to buy, sell, or rent properties, as well as for agents and brokers who want to reach a wider audience.

📋 Description

• Design, prototype, and build advanced agentic systems capable of highly autonomous, context-aware, and adaptive interactions across diverse real estate use cases • Apply test-time scaling and post-training techniques to develop agents that can reason, collaborate, compete, or negotiate in dynamic, goal-driven environments to fulfill user needs • Define and refine evaluation and experimentation processes for LLM-driven applications • Stay at the forefront of agentic AI research and innovation, bringing emerging techniques into practical application to shape product direction • Contribute to the broader scientific community through publications, conference presentations, and internal knowledge sharing • Mentor and guide junior scientists and engineers, promoting best practices in applied research, scalable agentic architecture, and responsible AI development

🎯 Requirements

• A Ph.D. or equivalent experience in Computer Science or a related field, with a focus on LLM, Agentic System, or Machine Learning • 2+ years of experience in building large-scale, high-impact ML solutions, particularly in areas such as NLP, agent-based systems, or multi-agent collaboration or similar paradigms • Experience in developing and working with LLM reasoning models or AI agents capable of multi-step reasoning and context-rich decision-making • Strong background in rigorous experimental design and evaluation, including benchmark creation, ablation studies, qualitative and quantitative analysis, and principled measurement of reasoning quality, generalization, and safety • Track record of publishing high-impact research in top AI/ML venues.

🏖️ Benefits

• Equity awards based on factors such as experience, performance and location