AI Applied Scientist - Phd Intern (AI)

TL;DR

AI Applied Scientist - PhD Intern (AI): Developing AI agents that can reason, plan, and collaborate in real-world situations to assist customers in exploring, finding, and dreaming of their ideal homes with an accent on large foundation models. Focus on designing AI agents that execute meaningful actions in multi-stakeholder environments by comprehending user needs and data, maintaining context, and optimizing for the customer-facing experience.

Location: Remote (USA)

Salary: $104,000.00 - $166,000.00 annually

Company

hirify.global is reimagining real estate to make home a reality for more and more people.

What you will do

• Advance customer-facing experiences and interfaces using your expertise in Agentic systems, conversational AI, LLMs, and multi-modal inference.
• Research to build AI agents capable of handling complex, rich media oriented, multi-turn interactions while maintaining context and taking appropriate actions.
• Personalized and Guided Home Exploration: An agentic approach that proactively guides and helps users navigate millions of listings to identify the best homes.
• 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.

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

Culture & Benefits

• Flexibility isn’t a perk–it’s how we work.
• Cloud HQ is our distributed-first model, built on trust, clear systems, and the belief that you can do great work from wherever you are.
• Comprehensive medical, dental, vision, life, and disability coverages as well as parental leave, family benefits, retirement contributions, and paid time off.