Victor May

Machine Learning Engineer & Researcher

About Me

Hello, Internet.

I’m a Staff Software Engineer at Google Cloud, based in New York City, currently focused on AI for software engineering. Previously, I led a team at Chegg fine-tuning vision-language models (VLMs) for multimodal question answering. Before that, I worked on recommender systems and multilingual NLP at Taboola.

I hold an M.Sc. in Applied Mathematics from Tel Aviv University and a B.Sc. in Computer Science and Mathematics from Bar-Ilan University.

I contribute to open-source AI projects. Most recently, I collaborated with Ontocord on Aurora-M, a multilingual large language model. I also participated in the OpenAssistant initiative by LAION.

Links

Google Scholar | LinkedIn | Resume | X (Twitter)

News

October 2025: Our preprint for the paper MixtureVitae: Open Web-Scale Pretraining Dataset With High Quality Instruction and Reasoning Data Built from Permissive-First Text Sources is out on ArXiv. Our paper FreshBrew: A Benchmark for Evaluating AI Agents on Java Code Migration had been accepted to International Conference on Software Engineering (ICSE) 2026.

September 2025: Our papers FreshBrew: A Benchmark for Evaluating AI Agents on Java Code Migration and GitChameleon 2.0: Evaluating AI Code Generation Against Python Library Version Incompatibilities had been accepted to the NeurIPS 2025 Deep Learning for Code Workshop.

Publications

• 2025
• Aurora-M: Open Source Continual Pre-training for Multilingual Language and Code
  Taishi Nakamura, Mayank Mishra, Simone Tedeschi, Yekun Chai, Jason T. Stillerman , ..., Victor May , ... · Proceedings of the 31st International Conference on Computational Linguistics: Industry Track (2025) accepted
  
• MixtureVitae: Open Web-Scale Pretraining Dataset With High Quality Instruction and Reasoning Data Built from Permissive-First Text Sources
  Huu Nguyen, Victor May, Harsh Raj, Marianna Nezhurina, Yishan Wang , ... · arXiv preprint (2025) preprint
  
• GitChameleon: Evaluating AI Code Generation Against Python Library Version Incompatibilities
  Diganta Misra, Nizar Islah, Victor May, Brice Rauby, Zihan Wang , ... · NeurIPS Deep Learning for Code (DL4C) Workshop (2025) accepted
  
• FreshBrew: A Benchmark for Evaluating AI Agents on Java Code Migration
  Victor May, Diganta Misra, Yanqi Luo, Anjali Sridhar, Justine Gehring , ... · NeurIPS Deep Learning for Code (DL4C) Workshop (2025) accepted
  
• 2015
• An Algorithm for Improving Non-Local Means Operators via Low-Rank Approximation
  Victor May, Yosi Keller, Nir Sharon, Yoel Shkolnisky · IEEE Transactions on Image Processing (2015) accepted
  

Blogging

I write about machine learning and related topics on
Medium.

Kaggle Competitions

• 🥈 Silver Medal (Top 1%) – Feedback Prize: English Language Learning
• 🥈 Silver Medal (Top 3%) – Google AI4Code
• 🥉 Bronze Medal (Top 6%) – U.S. Patent Phrase to Phrase Matching