AI Research Internship

Who You Are

• 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
• Expertise in an area such as natural language processing, computer vision, 2D/3D geometry representation learning, reinforcement learning, graph neural networks, unsupervised/self-supervised learning, meta-learning, and/or generative models
• Strong command of modern AI, including foundation models or multimodal models
• Distinguished research achievements, such as intellectual property filings, awards, and leading authorship in top-tier venues (including but not limited to major ML/AI conferences, workshops, and journals)
• Demonstrated 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

What the Job Involves

• Explore how large language models (LLMs) and intelligent multi-agent systems can enable advanced reasoning in architecture, engineering, and construction (AEC)
• 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
• The team combines expertise in machine learning, computational design, simulation, and AEC workflows, focusing on developing methods for structured reasoning and collaboration among AI agents
• 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
• Join a vibrant research community combining academic freedom with direct product impact
• Develop and execute a research agenda focused on advancing AI reasoning and multimodal learning in architecture, engineering, and construction (AEC)
• Create and refine cutting-edge algorithms, drawing from multiple approaches in artificial intelligence
• Collaborate with researchers and engineers across diverse disciplines, including communicating research plans, progress, and results
• Explore methods for structured reasoning and collaborative problem-solving among intelligent systems
• Shape the future of Autodesk's architecture, engineering, and construction products through published research and practical applications