
Principal Applied Scientist, Agentic AI
Posted 10 hours ago

Posted 10 hours ago
This is a fully remote position, open to applicants in California, +16 more states.
• Formulate and implement the comprehensive applied science strategy for advanced reasoning and long-duration agent systems.
• Strike a balance between innovation, customer value, reliability, safety, and business objectives.
• Enhance agent capabilities by leveraging agent architecture, harness design, context and memory engineering, test-time scaling, post-training, evaluation, and data flywheel methodologies.
• Create robust evaluation frameworks for agentic systems, encompassing task- and trajectory-level assessment, long-horizon benchmarks, controlled experiments, ablation studies, and online measurements.
• Engage senior and executive stakeholders by providing scientific insights, technical trade-offs, risk assessments, and recommendations.
• Remain at the cutting edge of research in agentic AI and foundational models.
• Showcase Zillow's contributions through publications, conference presentations, open-source initiatives, patents, and external technical collaborations.
• Collaborate with applied scientists, machine learning engineers, software engineers, product leaders, and senior stakeholders to define the scientific roadmap and product strategy.
• PhD in Computer Science, Machine Learning, Statistics, Mathematics, or a related discipline, or equivalent experience demonstrating comparable technical proficiency and impact.
• Over 8 years of industry experience in constructing and deploying large-scale, impactful AI systems.
• Profound expertise in large language models and agentic AI.
• Proven ability to translate research concepts into dependable customer-facing systems.
• Experience in developing AI agents with multi-step reasoning, extended execution, and proactive behaviors.
• Significant hands-on experience with agent architecture, harness design, context and memory engineering, test-time scaling, and post-training approaches.
• Extensive experience in creating rigorous evaluation frameworks for intricate AI systems, including benchmark design, experimentation, reliability assessment, and comprehensive impact measurement.
• Demonstrated success in leading complex, ambiguous, cross-functional projects from scientific conceptualization and prototyping to production deployment, monitoring, and measurable outcomes for customers or the business.
• Proven technical leadership, mentorship, and capacity to influence scientific, engineering, product, and executive audiences.
• Evidence of scientific leadership through high-impact production systems, patents, publications, open-source contributions, conference presentations, or equivalent industry achievements.
• Equity awards based on factors such as experience, performance, and location.
• Flexible distributed work model through Zillow’s Cloud HQ.
• An inclusive, innovative, and engaging organizational culture.
• Opportunities for employee growth and development.
• Equal employment opportunities and accommodations for individuals with disabilities or special needs.
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