Sid Sigtia
Staff Machine Learning Research Engineer, Siri at Apple
United Kingdom
Summary
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Senior🎓
Top SchoolSid Sigtia is a Staff Machine Learning Research Engineer at Apple with 12 years of experience applying deep learning to speech and audio problems, currently leading on-device Voice Trigger innovations for Siri. He has driven the transition of research prototypes into production at scale, from low-power AirPods inference systems to multilingual, semi-supervised training pipelines that enabled the single-word “Siri” trigger. His work spans model architecture evolution (LSTMs to Transformers/Conformers), multi-task training, and pragmatic data engineering—delivering measurable gains in accuracy, efficiency, and global robustness. A PhD in machine learning with roots in music information retrieval gives him an uncommon blend of theoretical depth and practical audio expertise. He is known for cross-team collaboration and mentoring, and for translating research advances into engineering systems that run reliably on billions of devices.
12 years of coding experience
2 years of employment as a software developer
Bachelor of Engineering (BE), Electrical and Electronics Engineering, Bachelor of Engineering (BE), Electrical and Electronics Engineering at Birla Institute of Technology and ScienceDoctor of Philosophy (PhD), Machine Learning, Doctor of Philosophy (PhD), Machine Learning at Queen Mary, U. of London
Hindi, Bengali, EnglishGithub contributions (4)
sidsig/ICASSP-2014
Feb 2014 - Feb 2014
Contributions:20 commits in 9 days
sidsig/ICML-2014-Paper
Jan 2014 - Jan 2014
Contributions:12 commits in 2 days
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