Intern, Ai Research

AUTODESK TLV

Remote
Large language models (llms)
Intelligent multi-agent systems
Multimodal design problems
Explore how LLMs and intelligent multi-agent systems can enable advanced reasoning in architecture, engineering, and construction (AEC)

Job Summary

  • Explore how LLMs and intelligent multi-agent systems can enable advanced reasoning in architecture, engineering, and construction (AEC).
  • Develop and execute a research agenda focused on advancing AI reasoning and multimodal learning in AEC, collaborating with researchers and engineers across diverse disciplines.
  • Interns join a vibrant research community combining academic freedom with direct product impact, actively publishing at top-tier conferences.

Matching Summary

Explore how LLMs and intelligent multi-agent systems can enable advanced reasoning in architecture, engineering, and construction (AEC).

Skills & Requirements

Must-have

  • Large language models (LLMs)
  • Intelligent multi-agent systems
  • Multimodal design problems
  • Machine learning
  • Deep learning
  • Reasoning systems
  • Python programming
  • PyTorch or TensorFlow

Nice-to-have

  • Structured reasoning
  • Collaborative problem-solving
  • Academic freedom
  • Product impact
  • Cross-disciplinary collaboration
  • Bridging AI with AEC

Key Requirements

  • Full-time MS or PhD student
  • Computer Science or related field
  • Conducting, analyzing, and communicating research
  • Excellent written and verbal communication

Work Rights

Not specified

Tailored Resume

Cover Letter