Jesse Engel
Senior Staff Research Scientist at Google DeepMind
San Francisco Bay Area United States
Summary
🤩
Rockstar🎓
Top SchoolJesse Engel is a Senior Staff Research Scientist at Google DeepMind with 13 years of experience building and scaling deep learning systems across creative AI, speech recognition, and neuromorphic memory research. He has driven production-grade ML engineering—authoring multi-GPU C++ frameworks at Baidu that powered DeepSpeech 2 and contributing significant model, demo, and build work to the influential Magenta project for music and art generation. With a PhD in Materials Science from UC Berkeley and postdoctoral work at Stanford/Berkeley, he combines rigorous scientific training with hands-on systems design, from low-level device-inspired memory architectures to large-scale model training and batch/multi-GPU pipelines. Based in the San Francisco Bay Area, Jesse is known for translating ambitious research into robust, deployable tooling and for improving training data and infrastructure that measurably boosted model performance.
14 years of coding experience
15 years of employment as a software developer
Doctor of Philosophy (PhD) Materials Science, Doctor of Philosophy (PhD) Materials Science at University of California, BerkeleyCIFAR 2015 - Summer School
English, Spanish, Portuguese
Stackoverflow
627reputation
85kreached
8answers
1question
matrix
top-5%
Github Skills (20)
python10
machine-learning10
audio-processing10
tensorflow10
trainings10
modeling10
continuous-deployment9
matrix9
data-pipelines9
ml-deployment9
bash9
data-pipeline9
vector6
nlp6
anaconda6
Programming languages (7)
Github contributions (5)
magenta/magenta
Oct 2016 - Dec 2019
Magenta: Music and Art Generation with Machine Intelligence
Role in this project:
ML Engineer
ML EngineerContributions:4 releases, 34 commits, 46 PRs in 3 years 2 months
Contributions summary:Jesse significantly contributed to the Magenta project, focusing on integrating and improving machine learning models for music and art generation. Their work involved implementing and refining install scripts and build processes, crucial for setting up the project's environment. They also updated and created demo scripts and updated the documentation, specifically within the context of the NSynth model. Their work also shows their involvement in batch processing techniques and supporting multi-GPU setups.
artmusic-generationgenerative-artmagentamachine-learning
jesseengel/magenta
Oct 2016 - Jan 2019
Magenta: Music and Art Generation with Machine Intelligence
Contributions:162 commits, 2 PRs, 139 pushes in 2 years 3 months
artmusic-generationmagentamachine-learningai
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