Zalán Borsos
Member Of Technical Staff at Microsoft AI
Zurich, Zurich, Switzerland
Summary
👤
Senior🎓
Top SchoolZalán Borsos is a machine learning researcher-engineer with eight years of experience specializing in making ML systems more resource-efficient, now working as a Member of Technical Staff at Microsoft AI in Zurich. His career spans research and product-focused roles across Google, DeepMind, and ETH Zurich, where his PhD investigated data summarization and adaptive sampling to reduce compute and data costs. He has driven audio and generative-AI projects including MusicLM, AudioLM, SoundStorm, AudioPaLM, Gemini audio features and NotebookLM audio overviews, bridging cutting-edge research with deployable systems. Known for turning theoretical efficiency gains into practical system improvements, he combines deep academic training with hands-on engineering at scale. An often overlooked strength is his consistent focus on audio-centric generative models as a proving ground for broader efficiency techniques.
8 years of coding experience
3 years of employment as a software developer
Master’s Degree, Computer Science, Master’s Degree, Computer Science at Eidgenössische Technische Hochschule ZürichMathematics and Informatics, Mathematics and Informatics at Bolyai Farkas High SchoolBachelor's degree, Computer Science, Bachelor's degree, Computer Science at UTCNBachelor's Degree, Informatics, Bachelor's Degree, Informatics at Technische Universität München
Hungarian, English, Romanian, German
Github Skills (2)
variance3
reduction2
Programming languages (1)
Github contributions (5)
zalanborsos/online-variance-reduction
Jan 2018 - May 2019
Contributions:13 commits, 3 pushes in 1 year 3 months
zalanborsos/coresets
Jul 2018 - Mar 2019
Coresets
Contributions:21 commits, 2 pushes in 8 months
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