David Venuto

Member Of Technical Staff (RL Scientist) at Cohere

San Francisco, California, United States
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Summary

👤
Senior
🎓
Top School
David Venuto is an RL scientist and Member of Technical Staff at Cohere with nine years of hands-on experience building and training reinforcement learning models, grounded in a PhD from Mila. He transitioned from academic research—where he spent six years as a PhD student and did research stints at Google, RIKEN, and McGill—into production ML through internships and now a full-time role at a leading generative AI company in San Francisco. His work blends rigorous research methods with practical system-building, focusing on turning RL algorithms into scalable components for language model alignment and control. Notably, he moved from an intern RL scientist at Cohere to a full-time technical staff role, showing an ability to rapidly translate research impact into product-ready results.
code9 years of coding experience
job3 years of employment as a software developer
bookDoctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at McGill University
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Github Skills (26)

ray8
optimization8
python8
reinforcement-learning8
parallel8
pytorch7
java7
machine-learning7
deep-learning7
hyperparameter-optimization6
tensorflow6
large-language-models6
scaling6
data-science6
automl5

Programming languages (3)

CSSJupyter NotebookPython

Github contributions (5)

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dvVenuto/dvVenuto.github.io

Mar 2018 - May 2023

Contributions:78 pushes, 1 branch in 5 years 3 months
dvVenuto/Bellman_Ford

Mar 2017 - Oct 2022

Contributions:7 pushes, 1 branch in 5 years 7 months
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David Venuto - Member Of Technical Staff (RL Scientist) at Cohere