Benjamin Elizalde
Machine Learning Research Engineer at Apple
Redmond, Washington, United States
Summary
👤
Senior🎓
Top SchoolBenjamin Elizalde is a Machine Learning Research Engineer with eight years of experience specializing in audio signal processing and machine listening, currently driving R&D in audio understanding at Apple after leading audio language model research at Microsoft. He earned a PhD from Carnegie Mellon focused on "Never-Ending Learning of Sounds" and has a strong track record of applied research spanning sound event and acoustic scene recognition, psychoacoustics, multimodal analysis, and audio retrieval. Benjamin has contributed to high-impact academic and industry efforts—publishing in venues like ICASSP, organizing large-scale DCASE tasks, and helping assemble the YFCC100M dataset—bridging rigorous research with product-focused development. He brings deep domain expertise in weakly supervised and continual learning for audio, coupled with experience shipping models in industrial settings and mentoring cross-disciplinary teams. Based in Redmond, he pairs academic depth with practical engineering, often translating novel audio representations into scalable solutions for real-world applications.
8 years of coding experience
7 years of employment as a software developer
Master of Science (MS) Information Technology (MCT), Master of Science (MS) Information Technology (MCT) at Tecnológico de MonterreyStudy Abroad Business Administration, Study Abroad Business Administration at Estonian Business SchoolDoctor of Philosophy (Ph.D.) Electrical and Electronics Engineering, Doctor of Philosophy (Ph.D.) Electrical and Electronics Engineering at Carnegie Mellon University
Github Skills (14)
acoustics9
audio8
large-scale8
classification7
machine-learning7
scale7
jekyll-theme3
phrases3
audio-classification2
point-of-sale1
nlp1
pos1
natural-language-processing1
tagging1
Programming languages (3)
Github contributions (5)
DCASE-REPO/dcase_benchmarks
Feb 2022 - Jun 2022
Contributions:16 commits, 2 pushes in 3 months
bmartin1/Identifying_Actions_for_Sound_Event_Classification
Jan 2021 - Sep 2021
Contributions:69 commits, 24 pushes in 8 months
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