The AI Applied Scientist - PhD Intern will use expertise in Agentic systems, conversational AI, LLMs, and multi-modal inference to advance customer-facing experiences and interfaces. The intern will develop the next-generation real estate shopping experience that integrates Agentic and Multi-modal reasoning to transform how users find their ideal homes.
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
- Competitive salary
- Benefits package
- Opportunity to work on cutting-edge AI projects
- Collaborative and innovative work environment