Jesse Kolb
Machine Learning Engineer at Yobi
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolJesse Kolb is a machine learning engineer with 11 years of experience building end-to-end ML systems and turning data into business impact across San Francisco’s tech scene. He’s shipped productionized models and automation pipelines for pricing, budgeting, fleet routing, and self-driving vehicle projects at companies like Twitter, Airbnb, and Uber, and now applies that full-stack ML expertise at Yobi. Comfortable moving projects from research and feature engineering through forecasting, experimentation, and deployment, he blends statistical rigor with pragmatic engineering. Early research in seismic imaging and Bayesian inference gives him a strong foundation in probabilistic modeling and MCMC techniques that inform his approach to complex, noisy data. Colleagues rely on him to deliver scalable, production-ready solutions that optimize multi-hundred-million-dollar decisions while keeping an eye on product strategy.
11 years of coding experience
11 years of employment as a software developer
The University of Maryland, College Park
Github Skills (17)
cran10
testing9
r9
classifier9
ab-testing9
bayesian-methods9
causal-inference5
machine-learning5
r-package3
machine-learning-algorithms3
python2
swig2
spike2
package-repository1
regression1
Programming languages (4)
Github contributions (5)
FrankPortman/modelR
Jul 2016 - Jul 2016
Contributions:8 commits, 8 pushes in 2 days
JesseKolb/RDruid
Aug 2019 - Aug 2019
Druid connector for R
Contributions:2 PRs, 2 pushes in 1 day
r-packageconnectordruid
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