Julian Mack

Staff, Member Of Technical Staff, Foundations

London, England, United Kingdom
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Summary

👤
Senior
🎓
Top School
Julian Mack is a staff machine learning engineer based in London with eight years of experience building production speech and multimodal LLM systems, currently working on multimodal LLMs and audio at Cohere. He led audio understanding at Cohere and previously built a low-latency ASR+LLM product as Head of ML at Myrtle.ai, where he wrote the company ML roadmap and drove technical customer engagements. Julian combines hands-on model training and scaling experience (multi‑GPU/Kubernetes, RNN‑T inference optimisations used in MLPerf) with team leadership across research and engineering. He holds an MSc with distinction in Machine Learning from Imperial College and a first-class BA in Natural Sciences (Physics) from Cambridge, and has authored several ML papers. Notably, he bridges cutting-edge research and shipping robust production pipelines, frequently acting as the technical face in sales and benchmarking efforts.
code8 years of coding experience
job7 years of employment as a software developer
bookBachelor's degree, Physics (Natural Sciences), Bachelor's degree, Physics (Natural Sciences) at University of Cambridge
bookMSc, Machine Learning, MSc, Machine Learning at Imperial College London
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Github Skills (83)

python10
deep-learning10
gpu10
audio10
aes10
machine-learning10
numpy9
multimodal9
neural-network9
nlp9
transformer9
pytorch9
llm9
speech-recognition9
natural-language-processing9

Programming languages (7)

ShellC++JavaScriptGoJupyter NotebookPythonCuda

Github contributions (5)

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MyrtleSoftware/myrtlespeech

Oct 2019 - Mar 2020

Speech recognition
Contributions:1134 commits, 23 PRs, 375 pushes in 5 months
speech-recognition
julianmack/Data_Assimilation

Mar 2019 - Jan 2021

MSc Research project (6 months). Data Assimilation using Deep Learning (AEs). Imperial College Machine Learning MSc 2018-19
Contributions:626 commits, 2 PRs, 342 pushes in 1 year 9 months
aesdeep-learningmachine-learning
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