About the job
We are seeking remote PhD interns for Summer 2026! 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.
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
Qualifications
Minimum
Currently enrolled in a PhD program in computer science, NLP, machine learning, or a related field, with solid publication record
Preferred
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