Note: The job is a remote job and is open to candidates in USA. Autodesk is hiring a research intern to develop and evaluate agentic workflows that help people and AI agents assess design and construction decisions. The role involves building research prototypes, creating evaluation methods and benchmarks, and exploring applications in future design workflows.
Responsibilities
- Research agentic workflows for AEC design and construction
- Develop methods using world models, multi-agent systems, and/or fast decision models
- Work with design, simulation, and building data, including geometry, BIM, and performance results
- Design experiments and benchmarks to evaluate AI predictions and decisions against simulation and expert judgment
- Build and evaluate research prototypes integrated with design tools
- Document and communicate findings through papers, presentations, and demonstrations
Skills
- Currently pursuing a PhD in Computer Science, Machine Learning, Computational Design, Architecture, Civil/Structural Engineering, or a related field, with a completion date in 2028 or later
- Research experience in AI/ML, AI agents, world models, reinforcement learning, or a related computational field
- Strong programming skills, ideally with Python and modern ML frameworks
- Experience designing computational experiments and working with complex datasets
- Strong collaboration and communication skills
- Experience in one or more of the following: world models, JEPA, or model-based reinforcement learning; multi-agent systems or agent orchestration; tool-using LLM agents or MCP; self-supervised learning for 3D geometry or graphs; building performance simulation or surrogate models; AEC industry practice or computational design; or Autodesk tools such as Revit or Forma
Benefits
- Learn from industry leaders
- Tech talks and development opportunities
- Office, remote, and hybrid work based on business and team needs
Company Overview
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