PhD Intern, AI Research - Datasets & Benchmarks

Autodesk Inc. • San Francisco, CA

44d • Hybrid

About The Position

The work we do at Autodesk touches nearly every person on the planet. By creating software for making buildings, machines, and even the latest movies, we influence and empower some of the most creative people in the world to solve problems that matter. You are excited to collaborate with world-class researchers and engineers to build datasets and benchmarks that power generative AI features in Autodesk products. You are an excellent communicator and excited to work at the intersection of AI Research, HCI, and product. You will report to a research manager in the Autodesk AI Lab. We are a global team, located in London, San Francisco, Toronto, and remotely. For this role we support both in-person, hybrid, and remote work.

Requirements

• Current PhD Student in HCI, Cognitive Science, Machine Learning, Computer Science, or a related discipline.
• Excellent software engineering skills, including Machine Learning.
• Experience with collecting human data for training and evaluating ML models.
• Strong data modeling, architecture, and processing skills with varied data representations including 2D and 3D geometry.
• Excellent communication skills to document code, produce visualizations, and present findings from experiments.

Nice To Haves

• Demonstrates curiosity, creativity, and self-motivation, with a collaborative mindset and the flexibility to adapt to new challenges and evolving research directions.
• Strong publication record related to HCI, AI datasets and benchmarks, or ML.
• Experience with computational geometry, CAD data, and 3D formats such as meshes, boundary representations (BReps), or implicit representations.
• Familiarity with the latest developments in ML models, datasets, training pipelines, and benchmarks, and the ability to translate new research into practical tools and workflows.
• Motivated by the opportunity to apply machine learning to real-world challenges in design, manufacturing, construction, and media & entertainment.

Responsibilities

• Own research projects at the intersection of AI dataset curation, ML benchmarking, and HCI.
• Design and run human experiments related to AI tool use for design.
• Develop and deploy scalable data collection techniques and pipelines for machine learning.
• Organize and curate large, unstructured, disparate multi-modal (text, images, 3D models, code snippets, metadata) data sources into a unified format suitable for machine learning.
• Conduct and analyze experiments on data to provide insights to other researchers and leadership.
• Co-write original research papers.
• Write robust, testable code that is well-documented and easy to understand.

What This Job Offers

• Career Level: Intern
• Industry: Publishing Industries
• Education Level: Ph.D. or professional degree
• Number of Employees: 5,001-10,000 employees