Remote Multimodal AI for Human Experience Research Intern

Autodesk, Inc; Boston (MA); Hybrid; USD 119,000 - 162,000; Full time

Job summary

Autodesk, Inc. in Boston, MA, invites PhD candidates to join a 16-week Research Intern program focused on multimodal AI to understand human experience in real and simulated built environments.

You'll collaborate across AI, spatial computing, AEC, and human perception to develop and evaluate methods connecting representations of built spaces with perceptual responses, using foundation models, AI agents, and physiological signals.

Qualifications

• PhD candidate in Computer Science, ML, Neuroscience, HCI, or related field with completion date in 2028 or later.
• Strong research experience in AI/ML, computer vision, or human perception.
• Strong programming skills, especially Python and ML frameworks.
• Experience designing experiments and working with complex datasets.
• Excellent collaboration and communication skills.

Responsibilities

• Research multimodal AI approaches for understanding built environments and human experience.
• Develop methods using foundation models, AI agents, and world models.
• Work with multimodal datasets, including visual, spatial, behavioral, and physiological data.
• Design experiments and benchmarks to evaluate AI predictions against human responses.
• Build and evaluate research prototypes for real and simulated environments.
• Document and communicate findings through papers, presentations, and demonstrations.

Skills

Python

Machine Learning

Computer Vision

Research

Education

PhD candidate

Tools

Forma

Job description

Autodesk, Inc. in Boston, MA, invites PhD candidates to join a 16-week Research Intern program focused on multimodal AI to understand human experience in real and simulated built environments.

You'll collaborate across AI, spatial computing, AEC, and human perception to develop and evaluate methods connecting representations of built spaces with perceptual responses, using foundation models, AI agents, and physiological signals.