Intern, Research - Context and Systems AI

Position: Intern, Research - Context and Knowledge Systems for AI
Job ID26WD
101097

Job

Requisition  Research – Intelligent Construction Summer 2027 | 12 weeks

Position Overview Modern AI systems increasingly depend on their ability to access and use the right context atthe right time. An important research challenge is how large, evolving bodies of informationshould be represented to support reliable inference.

Autodesk Research provides a distinctive setting for this work. Construction projects are rich,complex information environments whose state changes continuously over time, making them a compelling domain for studying context and knowledge systems for AI.As a Research Intern, you will own a focused research problem in this area. You will investigate new approaches to building and retrieving structured context, developexperimental prototypes, and evaluate how effectively they support downstream AIreasoning.

You will work closely with Autodesk researchers and engineers and have substantial freedomto bring ideas from your own research. Strong contributions may form the basis of an academic publication and future Autodesk research.

Responsibilities
• Conduct original research in context and knowledge systems for AI. Investigatemethods for representing and retrieving information to support reliable contextualinference
• Develop new approaches to context construction. Explore how relevant knowledgecan be identified and assembled dynamically from large and evolving informationenvironments
• Build research prototypes. Implement experimental systems using graph-based,semantic or hybrid approaches and apply them to realistic project information
• Design and conduct rigorous experiments. Develop suitable research questions,baselines and evaluation methods to understand the strengths and limitations of proposed approaches
• Collaborate with Autodesk researchers and engineers. Work across AI research,software engineering and domain expertise to refine ideas and translate them intoexperimental systems
• Communicate research findings. Present results within Autodesk Research and contribute, where appropriate, to research papers, technical reports and demonstrations

Minimum Qualifications
• Currently enrolled in a PhD program in Computer Science, Artificial Intelligence,Data Science, Information Science or a closely related field, with at least oneacademic term remaining after the internship
• Research experience in an area related to knowledge representation, informationretrieval, data management or contextual information systems for AI
• Strong programming skills and experience developing experimental researchsoftware
• Understanding of contemporary AI systems and how retrieval and contextualinformation support modern reasoning or agentic workflows
• Experience formulating research questions and designing empirical evaluations.
• Strong written and verbal communication skills

Preferred Qualifications Research experience in one or more of the following areas would be valuable:
• Knowledge graphs or graph-based information systems
• Advanced information retrieval and hybrid retrieval methods
• Retrieval-augmented generation, including GraphRAG or related approaches
• Context engineering or memory architectures for AI systems
• Semantic and structured knowledge representation
• Temporal, provenance-aware or evolving data systems
• Heterogeneous data integration at scale
• Graph machine learning applied to representation or retrievalA strong research publication record in a relevant area is desirable

Prior experience with architecture, engineering or construction is not required. We are particularly interested in candidates with deep technical expertise who are motivated by the opportunity to test their research against a complex real-world information environment.

About the Team Autodesk…