Julien Balian

Senior Machine Learning Engineer at Sonos, Inc.

Greater Paris Metropolitan Region France
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Summary

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Julien Balian is a Senior Machine Learning Engineer based in Greater Paris with 7 years of experience building production-ready speech and audio ML systems for embedded devices and cloud services. He has led speaker recognition efforts and improved acoustic and keyword-spotting models at Sonos, bringing research-grade approaches (metric learning, prototypical scoring, clustering) to Raspberry Pi–class hardware. Julien founded a speech-analysis SaaS, designing end-to-end pipelines from data collection and large-scale training to BI dashboards and microservice orchestration, showing both product and engineering ownership. His background spans speech recognition, diarization, signal processing and NLP, with hands-on implementation in PyTorch, TensorFlow, Rust and scalable tooling on AWS. An active contributor to the tiny inference library tract, he has fixed low-level operator bugs and added support for new ops and data types—highlighting his ability to work across model research and inference-runtime details. With an MSc in Software Engineering (Distinction) and a track record of turning academic methods into deployable systems, he excels at squeezing ML performance onto constrained devices.
code7 years of coding experience
job6 years of employment as a software developer
book4th year - Master's degree, Computer Science, 4th year - Master's degree, Computer Science at SUPINFO - The International Institute of Information Technology
bookMaster of Science (MSc), Computer Software Engineering, with Distinction, Master of Science (MSc), Computer Software Engineering, with Distinction at Oxford Brookes University
languagesEnglish, French
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Github Skills (8)

rust10
onnx10
tensorflow10
neural-network9
artificial-intelligence8
data-structure7
data-structures7
algorithms7

Programming languages (3)

RustPythonCuda

Github contributions (5)

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sonos/tract

Apr 2022 - Jan 2023

Tiny, no-nonsense, self-contained, Tensorflow and ONNX inference
Role in this project:
userBackend Developer
Contributions:1 review, 23 commits, 28 PRs in 9 months
Contributions summary:Julien primarily focused on implementing and refining features within the `tract` library. Their contributions involved fixing bugs related to the `tile` and `unstack` operators, including serialization and handling of stride. They also added new operators like `unstack` and `stack`, and incorporated type conversions. Furthermore, the user made improvements to the core logic and added support for new data types.
rust-libraryno-nonsenseself-containedrustdeep-learning
JulienBalianSonos/tract

May 2023 - Jan 2025

Tiny, no-nonsense, self-contained, Tensorflow and ONNX inference
Contributions:90 pushes, 20 branches in 1 year 8 months
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Julien Balian - Senior Machine Learning Engineer at Sonos, Inc.