[Remote] AI Applied Scientist - PhD Intern, Next-Gen Agentic and Multi-Modal Home Exploration Experience
Note: The job is a remote job and is open to candidates in USA. Zillow is dedicated to developing the next generation of agentic systems powered by large foundation models. The AI Applied Science team is seeking remote PhD interns to advance customer-facing experiences and interfaces by building AI agents that handle complex interactions while maintaining context.
Responsibilities
- 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
Skills
- 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
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