Alicia Machado
Research Engineer at Google DeepMind
Paris, Ile-de-France
Summary
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Senior🎓
Top SchoolAlicia Machado is a research engineer at Google DeepMind with nine years of experience building and researching machine learning systems. Trained at École Polytechnique and ENS Paris-Saclay (MVA), she transitioned from strong theoretical foundations to applied ML through internships and production work at Google and Hugging Face. At YouTube Paris she spent nearly three years improving ML classifiers, and earlier internships include ML-for-compilers research using JAX and performance modeling as well as infrastructure work in Go for Kubernetes operators. She combines hands-on engineering—data pipelines, TFDS, JAX models, and simulation libraries—with research on exploration in reinforcement learning. Based in Paris, she’s an AI enthusiast who moves fluidly between prototyping research ideas and shipping reliable systems at scale. An underappreciated strength is her cross-domain fluency spanning compilers, RL environments, and production classifier engineering.
8 years of coding experience
4 years of employment as a software developer
Master's degree (Master M2) Mathematics Vision and Learning (MVA), Master's degree (Master M2) Mathematics Vision and Learning (MVA) at ENS Paris-SaclayEnsino Médio e Fundamental, Ensino Médio e Fundamental at Instituto Dom BarretoCycle ingénieur (Master M1) Data Science, Cycle ingénieur (Master M1) Data Science at École PolytechniqueBachelor's degree Computer Engineering, Bachelor's degree Computer Engineering at Instituto Tecnológico de Aeronáutica - ITA
Github Skills (13)
synthetic10
ctf9
simulator9
simulation9
infrastructure9
synthetic-data9
kubernetes8
sdk8
operator7
scaffolding6
ai5
crazyflie3
drones2
Programming languages (3)
Github contributions (5)
aliciafmachado/aliciafmachado.github.io
Sep 2020 - Aug 2024
My website
Contributions:2 PRs, 5 pushes, 5 branches in 3 years 11 months
aliciafmachado/cv
Nov 2020 - Sep 2024
Contributions:6 pushes, 1 branch in 3 years 10 months
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