Principal Applied Scientist, Agentic AI

Zillow
United States
Workplace: RemoteFull timeUSD 191,300 - 305,700 annuallyFunction: Research & Scientific (R&D)Education: phdSkills: ["Technical leadership","Mentorship","Scientific leadership","Cross-functional influence","Communication"]

Set the science direction for advanced reasoning and long-running agent systems in the Agentic AI organization. Lead end-to-end applied science strategy balancing innovation, value, reliability, safety, and business goals. Advance agent capabilities across architecture, harness design, context and memory, test-time scaling, post-training, and evaluation. Build rigorous benchmark and experimentation frameworks and translate scientific insights into product and platform strategy.

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FursaFursa
Zillow
Zillow
6 hours ago

Principal Applied Scientist, Agentic AI

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Source: Company careers pageValidated by: Fursa AI
Last checked: 6 hours agoStatus: Live
Reposted: similar role first listed 6 months ago

Job Summary

Set the science direction for advanced reasoning and long-running agent systems in the Agentic AI organization. Lead end-to-end applied science strategy balancing innovation, value, reliability, safety, and business goals. Advance agent capabilities across architecture, harness design, context and memory, test-time scaling, post-training, and evaluation. Build rigorous benchmark and experimentation frameworks and translate scientific insights into product and platform strategy.
Location: United States
Workplace: Remote
Employment Type: Full time
Job Function: Research & Scientific (R&D)
Seniority: Sr. Manager level

Key Responsibilities

  • •Define and drive end-to-end applied science strategy for advanced reasoning and long-running agent systems, balancing innovation, customer value, reliability, safety, and business priorities.
  • •Advance agent capabilities through agent architecture and harness design, context and memory engineering, test-time scaling, and post-training.
  • •Establish rigorous evaluation frameworks for agentic systems, including task- and trajectory-level evaluation, long-horizon benchmarks, controlled experiments, ablation studies, and online measurement.
  • •Translate scientific insights, technical trade-offs, risks, and recommendations to influence senior and executive stakeholders on product and platform strategy.
  • •Stay current on agentic AI and foundation model research and represent Zillow through publications, conference presentations, open-source contributions, patents, and external technical engagement.

Pay and Benefits

Salary: USD 191,300 - 305,700 annually
Equity and Bonus:Equity
Perks:Equity

Key Requirements

  • •PhD in Computer Science, Machine Learning, Statistics, Mathematics, or a related field, or equivalent experience demonstrating deep technical expertise and scientific leadership in production AI systems.
  • •8+ years building and deploying large-scale, high-impact AI systems.
  • •Deep expertise in large language models and agentic AI, translating research into reliable customer-facing systems.
  • •Experience developing agents for multi-step reasoning, long-running execution, and proactive behavior.
  • •Extensive experience establishing evaluation frameworks for complex AI systems, including benchmark design and experimentation with reliability and end-to-end impact.
Experience:AI systemsLarge language modelsAgentic AIFoundation modelsProduction AI
Education:PhD / Doctorate in Computer Science, Machine Learning, Statistics, Mathematics, or a related field
Skills:Technical leadershipMentorshipScientific leadershipCross-functional influenceCommunication
Tech Stack:Large language modelsAgentic AIFoundation models

Company Brief

Zillow
Operates an online real estate marketplace providing listings, valuation estimates, rentals, and agent tools. Connects buyers, sellers, renters, and real estate professionals with data-driven search, home Zestimate valuations, and advertising services.
Industry: Online Marketplaces
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Seattle, United States
Founded: 2006
WebsiteLinkedIn