Qizhen Zhang
Research Scientist Intern at Meta
Oxford, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolQizhen Zhang is a research-focused machine learning scientist with eight years of experience building and scaling large language model pretraining and post-training systems at industry leaders including Meta and Cohere. Currently a Research Scientist Intern on Meta’s Llama Pre-training team and a PhD candidate at the University of Oxford, she blends rigorous academic research with hands-on production experience in foundation model development. Her background includes internships and research roles at top AI labs such as Mila and the Vector Institute, plus an MSc from the University of Toronto and a BSc from McGill. She has moved between core research and engineering on pretraining pipelines, giving her a rare fluency in both model algorithms and the infrastructure needed to train them at scale. Based in Oxford, she brings a global perspective on ML research and a track record of contributing to high-impact LLM efforts across multiple organizations. An understated strength is her ability to translate cutting-edge research into reproducible training workflows that accelerate model iteration.
8 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Machine Learning, Doctor of Philosophy - PhD, Machine Learning at University of OxfordMaster of Science - MSc, Computer Science, Master of Science - MSc, Computer Science at University of TorontoBachelor of Science - BSc, Computer Science, Bachelor of Science - BSc, Computer Science at McGill University
Github Skills (17)
organize7
mongodb6
multi-agent6
reproducible-research6
reproducible-science6
q-learning5
ray5
agent5
python5
multi-agent-reinforcement-learning5
machine-learning4
deep-reinforcement-learning4
reinforcement-learning4
pytorch3
infrastructure3
Programming languages (2)
Github contributions (5)
irenezhang30/fax
May 2020 - Oct 2020
Contributions:7 commits, 2 PRs, 7 pushes in 4 months
irenezhang30/MARCO
Jan 2022 - Feb 2022
Contributions:5 commits, 4 pushes, 1 branch in 28 days
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