Zillow
Reimagining real estate to make it easier than ever to move from one home to the next.
AI Applied Scientist – PhD Intern, Next-Gen Agentic and Multi-Modal Home Exploration Experience
Research ScientistResearch ScientistInternshipRemoteEntry LevelTeam 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
167 days ago
Salary
$104K - $166K / year
Seniority
Entry Level
Postgraduate DegreeEnglishPyTorch
Job Description
• As an intern, you will use your expertise in Agentic systems, conversational AI, LLMs, and multi-modal inference to advance customer-facing experiences and interfaces.
• Your research will help build AI agents capable of handling complex, rich media oriented, multi-turn interactions while maintaining context and taking appropriate actions.
• Your internship will develop the next-generation real estate shopping experience that integrates Agentic and Multi-modal reasoning to transform how users find their ideal homes through pushing research problems including but not limited to:
• Personalized and Guided Home Exploration: An agentic approach that proactively guides and helps users navigate millions of listings to identify the best homes, the experience should be highly engaging, fun and goal oriented.
• Conversational Optimization: Enhanced multi-turn conversations with effective context management and improved dialogue quality, achieved through organized data from retrieved results.
• Multi-modal Collaboration System: A combination of 3D computer vision (utilizing 3D reconstructions and Gaussian splats) and LLM interfaces, powered by conversational AI.
Job Requirements
- Currently enrolled in a PhD program in computer science, NLP, machine learning, or a related field, with solid publication record
- Background in at least one of the following areas: Human computer interaction (HCI)
- User behavior research in the context of agentic AI
- Agentic AI (tool use, planning, reasoning, decision-making)
- Conversational AI and dialogue optimization
- Multi-modal inference models with focus on combining 3D Computer Vision and LLMs
- Multi-agent systems and orchestration
- Memory systems and context engineering
- Reinforcement learning and reward modeling
- Familiarity with modern deep learning frameworks (e.g., PyTorch, Hugging Face Transformers)
- Strong research mindset, with motivation to publish
- Interest in applying AI to complex, multi-stakeholder domains
Benefits
- comprehensive medical, dental, vision, life, and disability coverages
- parental leave
- family benefits
- retirement contributions
- paid time off
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