Chase Bowers is a senior machine learning engineer with a decade of experience shipping ML and AI applications across startups and large tech companies. He is currently at Meta as a Senior Machine Learning Engineer, applying scalable ML methods, after leading ML/software engineering and applied research at Tonita, an AI startup focused on NLP-powered e-commerce search. Earlier roles include software engineering at Haven Technologies and Google, complemented by an internship at Quantlab Financial. He is an active NLP researcher and co-authored a 4th-place Kaggle NLP solution with Ertuğrul Demir, and published work titled Softmax Sleuthing Refinement via Pseudo-Labels. He holds a BS in Applied Mathematics from Texas A&M and is based in New York, bringing a rigorous mathematical foundation to production ML systems.
10 years of coding experience
7 years of employment as a software developer
Bachelor of Science (B.S.), Applied Mathematics, Bachelor of Science (B.S.), Applied Mathematics at Texas A&M University
Contributions:27 commits, 26 pushes, 1 branch in 4 months
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Chase Bowers - AI Safety Research Fellow at Anthropic