Bei Jia is a Staff Research Scientist with a decade of experience building and scaling large language and multimodal models, currently specializing in LLM post-training at Meta Superintelligence Labs. Her career spans senior ML roles at Apple, Block, Amazon, and ServiceNow where she led production ML systems for Siri, risk AI, Alexa NLU, and generative sequence models applied to quantitative finance. Trained as a physicist with a Ph.D. from Virginia Tech, she brings deep theoretical rigor—experience in string theory and distributed optimization—to practical problems in representation learning and end-to-end ML services. Colleagues describe her as a tech lead who bridges frontier research and product-grade engineering, often surfacing non-obvious insights from mathematical foundations to improve model robustness and deployment.
10 years of coding experience
6 years of employment as a software developer
Master’s Degree Physics, Master’s Degree Physics at University of Chinese Academy of Sciences
Doctor of Philosophy (Ph.D.) Physics, Doctor of Philosophy (Ph.D.) Physics at Virginia Tech
Bachelor’s Degree Applied Physics, Bachelor’s Degree Applied Physics at Xi'an Jiaotong University
Contributions:2 PRs, 6 pushes, 3 branches in 11 days
regressionpythonmachine-learning
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