Jes Ford

Staff Machine Learning Engineer (Modeling) at Block

South Lake Tahoe, California, United States
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Summary

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Senior
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Jes Ford is a Staff Machine Learning Engineer with 11 years of experience applying ML to product-focused problems, currently leading modeling efforts at Block. With a PhD in Physics and a background in astrophysics research, Jes blends rigorous probabilistic modeling and uncertainty quantification with pragmatic productionization—previously shipping NLP systems for Cash App and deep-learning pipelines for drug discovery at Recursion. They have a track record of introducing reproducible software practices, building cloud-backed model registries, and improving data quality to enable cross-team model comparisons. A regular conference speaker and open-source author, Jes is as comfortable presenting at PyCon as designing active learning strategies or Bayesian MCMC workflows. Based in South Lake Tahoe, they bring a scientist’s curiosity to product engineering, often surfacing interpretable model insights (saliency, GradCAM) that bridge ML and domain stakeholders.
code11 years of coding experience
job9 years of employment as a software developer
bookDoctor of Philosophy (Ph.D.), Physics & Astronomy, Doctor of Philosophy (Ph.D.), Physics & Astronomy at The University of British Columbia
bookBachelor of Science (B.Sc.), Physics (Math minor), Bachelor of Science (B.Sc.), Physics (Math minor) at University of Nevada, Reno
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Stackoverflow

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Github Skills (98)

python10
lda10
fasttext10
deep-learning10
glove10
word2vec10
corpus10
topic-modeling10
latent-dirichlet-allocation10
gensim10
word-embeddings10
machine-learning10
neural-network9
galaxy9
nlp9

Programming languages (8)

C++CSSSCSSJavaScriptHTMLJupyter NotebookPythonEmacs Lisp

Github contributions (5)

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jesford/PyTrends-Demo

Oct 2017 - Apr 2022

Contributions:7 pushes, 3 branches in 4 years 5 months
Contributions:5 PRs, 133 pushes, 8 branches in 4 months
clusterin-progress
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Jes Ford - Staff Machine Learning Engineer (Modeling) at Block