Julian Mack
Staff, Member Of Technical Staff, Foundations
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolJulian 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.
8 years of coding experience
7 years of employment as a software developer
Bachelor's degree, Physics (Natural Sciences), Bachelor's degree, Physics (Natural Sciences) at University of CambridgeMSc, Machine Learning, MSc, Machine Learning at Imperial College London
Github Skills (109)
python10
automatic-speech-recognition10
deep-learning10
speech10
gpu10
nlp10
natural-language-processing10
aes10
speech-to-text10
pytorch10
machine-learning10
numpy9
conformer9
neural-network9
transformer9
Programming languages (6)
Github contributions (5)
MyrtleSoftware/myrtlespeech
Oct 2019 - Mar 2020
Speech recognition
Contributions:1134 commits, 23 PRs, 375 pushes in 5 months
asrspeech-to-textrecognitionspeech-recognitionspeech-synthesis
julianmack/Data_Assimilation
Mar 2019 - Jan 2021
MSc Research project (6 months). Data Assimilation using Deep Learning (AEs and VAEs). Imperial College London Machine Learning MSc 2018-19
Contributions:626 commits, 2 PRs, 342 pushes in 1 year 9 months
assimilationpythonmonthsaesdeep-learning
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