Reuben Feinman

Work Experience

Common Sense Machines, Cambridge, MA
Lead Deep Learning Scientist (6/2024 - Present)
Research Scientist (9/2023 - 6/2024)

  • Leading ML infrastructure, pipelines and methodology across the company
  • Developing large-scale machine learning models for 3D content creation and interactive design
  • Project highlights: 1. diffusion transformers (DiTs) for image- and text-to-3D generation, 2. LLMs for autoregressive, token-based 3D generation, and 3. multi-view image diffusion models for texture generation and interactive editing

Meta, New York, NY
Research Intern, FAIR (5/2020 - 9/2020)

  • Worked directly with chief AI scientist Yann LeCun
  • Investigated self-supervised learning algorithms for computer vision applications including image compression and image generation

Symantec, Mountain View, CA
Machine Learning Engineer, Center for Advanced Machine Learning (7/2015 - 6/2017)

  • Worked in a team of 10 PhDs while consulting regularly with Ruslan Salakhutdinov.
  • Led an R&D effort that improved the detection rates of both known and unknown malicious software on 100+ million endpoints worldwide.
  • Developed a machine learning model that helped prevent 22 million attempts of the global and infamous “WannaCry” ransomware attack.

Education

New York University, New York, NY
Ph.D., Neural Science (9/2017 - 9/2023)

  • Thesis: Generative neuro-symbolic models of concept learning
  • Thesis advisor: Brenden M. Lake

Brown University, Providence, RI
Sc.B. with Honors, Applied Mathematics (9/2011 - 5/2015)

  • Research advisors: Thomas Serre & Stuart Geman
  • GPA: 3.9 / 4.0