Matthew Mccallum
Staff Machine Learning Researcher at Apple
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolMatthew Mccallum is a Staff Machine Learning Researcher and PhD-trained signal processing expert with eight years of industry experience building state-of-the-art audio and music ML systems. He led development of large-scale supervised and self-supervised music foundation models trained on 200k+ hours, productionized cross-framework ML infrastructure that cut deployment cycles from months to days and saved $2.5M/year, and shipped embedding-based fingerprinting and generative audio tooling. His work spans research, engineering and productization—from real-time 2GB/s training pipelines and high-throughput inference for millions of tracks, to controllable latent-space methods for pitch and tempo manipulation. Based in London, he combines deep C++/Python engineering roots with a track record of award-winning demo apps and infrastructure used by multi-disciplinary teams. Notably, he has repeatedly translated novel signal-processing research into scalable, cost-saving systems for music companies.
8 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy (PhD) Signal Processing, Doctor of Philosophy (PhD) Signal Processing at University of Auckland
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (55)
python10
annotations10
machine-learning10
ml10
audio10
deep-learning10
tensorflow10
deep-neural-networks10
audio-representation10
neural-network10
librosa10
music10
scipy9
packaging9
package-installer9
Programming languages (6)
Github contributions (5)
PandoraMedia/music-audio-representations
Aug 2022 - Jan 2023
Results and Models for Learning Audio Representations of Music Content
Contributions:4 releases, 24 commits, 4 PRs in 5 months
audio-representation
MCMcCallum/sigtools
Apr 2018 - Dec 2018
A dumping ground for all my python audio processing tools
Contributions:1 PR, 30 pushes, 2 branches in 8 months
audio-processingpython
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