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PhD Intern, AI Research - Datasets & Benchmarks

Autodesk

$118,560 - $162,240
Nov 12, 2025
San Francisco, CA, USA
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Autodesk is looking to build datasets and benchmarks that power generative AI features in their products by hiring a researcher to work at the intersection of AI Research, HCI, and product.

Requirements

  • 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.
  • 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.

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.

Other

  • Current PhD Student in HCI, Cognitive Science, Machine Learning, Computer Science, or a related discipline.
  • Excellent communication skills to document code, produce visualizations, and present findings from experiments.
  • Demonstrates curiosity, creativity, and self-motivation, with a collaborative mindset and the flexibility to adapt to new challenges and evolving research directions.
  • Motivated by the opportunity to apply machine learning to real-world challenges in design, manufacturing, construction, and media & entertainment.
  • The 2026 U.S. program runs for 12 weeks (May 18 – August 7 or June 15 – September 4).