Matthew Mccallum

Staff Machine Learning Researcher at Apple

London, England, United Kingdom
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Summary

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Senior
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Top School
Matthew 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.
code8 years of coding experience
job11 years of employment as a software developer
bookDoctor of Philosophy (PhD) Signal Processing, Doctor of Philosophy (PhD) Signal Processing at University of Auckland
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Stackoverflow

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Github Skills (60)

python10
data-science10
annotations10
packaging10
machine-learning10
dtw10
ml10
audio10
deep-learning10
installer10
deep-neural-networks10
pitch10
tensorflow10
neural-network10
pip10

Programming languages (5)

TypeScriptC++TeXJupyter NotebookPython

Github contributions (5)

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PandoraMedia/scooch

Feb 2020 - Feb 2023

Scooch Configures Object Oriented Class Hierarchies for python
Contributions:5 releases, 109 commits, 5 PRs in 2 years 11 months
Results and Models for Learning Audio Representations of Music Content
Contributions:4 releases, 24 commits, 4 PRs in 5 months
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Matthew Mccallum - Staff Machine Learning Researcher at Apple