Jade Copet
Member Of Technical Staff at Stealth
France
Summary
🤩
Rockstar🎓
Top SchoolJade Copet is a Research Engineering Manager with eight years of experience building and scaling AI and ML systems across industry and research, currently leading engineering efforts at Facebook AI from France. She progressed from hands-on R&D and head of AI roles at Linkfluence—where she moved prototypes into production on large-scale social media data—to managing research engineering teams focused on cutting-edge models. Her work spans deep learning, NLP, distributed systems and production deployment, and she has contributed to notable open-source projects like Facebook Research’s Audiocraft (MusicGen/EnCodec) by improving metrics, FSDP support, and RVQ implementations. Comfortable bridging research and engineering, she combines rigorous academic training from UT Compiègne, EPFL and Shanghai with practical experience shipping robust, scalable ML pipelines. Colleagues describe her as a pragmatic problem-solver who surfaces reproducible results from noisy real-world data and shepherds them into reliable production systems.
8 years of coding experience
6 years of employment as a software developer
Master en Informatique, Computer Science, Master en Informatique, Computer Science at EPFLUniversité de Technologie sino-européenne de l'Université de Shanghai (UTSEUS), Université de Technologie sino-européenne de l'Université de Shanghai (UTSEUS) at Shanghai UniversityGénie Informatique, Computer Science, Génie Informatique, Computer Science at Université de Technologie de Compiègne (UTC)
French, English, Spanish, German, Chinese
Github Skills (8)
pytorch10
machine-learning10
audio-processing10
deep-learning10
python10
vector9
quantization9
music-generation8
Programming languages (3)
Github contributions (5)
facebookresearch/audiocraft
Aug 2023 - Nov 2024
Audiocraft is a library for audio processing and generation with deep learning. It features the state-of-the-art EnCodec audio compressor / tokenizer, along with MusicGen, a simple and controllable music generation LM with textual and melodic conditioning.
Role in this project:
ML Engineer
ML EngineerContributions:27 reviews, 52 PRs, 36 pushes in 1 year 3 months
Contributions summary:Jade primarily focused on maintaining and improving the `audiocraft` library, a project for audio processing and generation with deep learning. Their contributions included updating KLDivergenceMetric with PaSST to reproduce MusicGen results, fixing FSDP support with PyTorch 2.1.0, and releasing version updates. Additionally, the user worked on core functionality, fixing potential bugs in the code related to RVQ implementation.
audioaudio-processingdeep-learningmusic-generationmusicgen
JadeCopet/dora
Sep 2021 - Nov 2022
Dora is an experiment management framework. It expresses grid searches as pure python files as part of your repo. It identifies experiments with a unique hash signature. Scale up to hundreds of experiments without losing your sanity.
Contributions:5 pushes, 3 branches in 1 year 2 months
python
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