Zillow

Reimagining real estate to make it easier than ever to move from one home to the next.

Senior Applied Scientist, Agentic AI

Research ScientistResearch ScientistFull TimeRemoteTeam 5,001-10,000Since 2006H1B SponsorCompany SiteLinkedIn

Location

California + 7 moreAll locations: California, Connecticut, District Of Columbia, New Jersey, New York, Maryland, Massachusetts, Washington

Posted

4 days ago

Salary

$160.9K - $257.1K / year

Postgraduate Degree2 yrs expEnglish

Job 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

Job 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

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