Max Schwarzer is a machine learning researcher and engineer with a decade of experience improving ML systems, currently a Member of Technical Staff at Anthropic after leading post-training efforts at OpenAI where he shipped multiple GPT-5.x releases. His background spans internships at Google Brain and DeepMind, a PhD at Mila/University of Montreal focused on sample-efficient reinforcement learning and self-supervised learning, and summa cum laude undergraduate work at Pomona College. He blends deep research rigor with product-oriented engineering—moving models from research prototypes into shipped systems. Max has a track record in diverse domains from bioinformatics to NLP and built reproducible ML pipelines early in his career. Based in the Bay Area, he maintains an active scholarly footprint (see his Google Scholar profile) that complements his hands-on systems experience. Notably, his career progression shows rare fluency across research, applied science, and deployment at leading AI labs.
10 years of coding experience
4 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at Mila - Quebec Artificial Intelligence Institute
Mathematics, Mathematics at Foothill College
Bachelor of Arts (B.A.), Mathematics and Computer Science, Bachelor of Arts (B.A.), Mathematics and Computer Science at Pomona College
Contributions:4 PRs, 90 pushes, 3 branches in 12 days
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Max Schwarzer - Member Of Technical Staff at Anthropic