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Paid Internship
Work Mode
Time Spent
Required Degree
Duration

11Open Positions

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Intern, AI Research

Autodesk
Found 1 month ago
Location
Remote, United Kingdom
Duration (Months)
3 Months
Time
Full-time
Work Mode
Remote
Salary
Not disclosed
Visa Help
Not disclosed
Last Verified
1 month ago

Education

  • Master
  • PhD

Skills & Qualifications

Technical Skills

  • machine learning
  • deep learning
  • reasoning systems
  • Python
  • PyTorch
  • TensorFlow
  • natural language processing
  • computer vision
  • 2D/3D geometry representation learning
  • reinforcement learning
  • graph neural networks
  • unsupervised/self-supervised learning
  • meta-learning
  • generative models
  • foundation models
  • multimodal models

Soft Skills

  • communication skills
  • collaborate in cross-disciplinary teams

Job Description

As an Intern in Autodesk Research's AI Lab, you will explore how large language models (LLMs) and intelligent multi-agent systems can enable advanced reasoning in architecture, engineering, and construction (AEC). You'll help design AI systems that reason over complex, multimodal design problems — integrating spatial, quantitative, textual, and procedural knowledge — to make the built world smarter, safer, and more sustainable. Our team combines expertise in machine learning, computational design, simulation, and AEC workflows. This project focuses on developing methods for structured reasoning and collaboration among AI agents, inspired by how human experts coordinate across design, engineering, and planning tasks. The goal is to advance AI systems that can analyze, critique, and generate design alternatives grounded in real-world AEC contexts. Autodesk's AI Lab actively publishes at NeurIPS, ICML, ICLR, and CVPR, and collaborates with leading academic and industry partners. Interns join a vibrant research community combining academic freedom with direct product impact.

Requirements

  • Full-time student pursuing an MS or PhD (preferred) in Computer Science, Artificial Intelligence, Computational Design, Applied Mathematics, or a related field
  • Broad understanding of machine learning, deep learning, and reasoning systems
  • Strong programming skills in Python, with proficiency in PyTorch or TensorFlow
  • Demonstrated experience in conducting, analyzing, and communicating research
  • Excellent written and verbal communication skills, and ability to collaborate in cross-disciplinary teams

Related Field

  • AI & Machine Learning

Related Subfield

  • AI Research

Languages

  • English

Nice to Haves

  • Exceptional programming experience through professional roles, internships, hackathons, or contributions to open-source repositories (e.g., GitHub)
  • Experience wrangling large, complex, high-dimensional data for large-scale training
  • Proven ability to tackle complex challenges independently
  • Passion for bridging AI reasoning with real-world AEC design and simulation workflows
  • intellectual property filings
  • awards
  • leading authorship in top-tier venues
▶Apply Now

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