Matt Sokoloff
AI Engineer at Google
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolMatt Sokoloff is an AI Engineer based in the San Francisco Bay Area with a decade of experience bridging machine learning research and production-grade software engineering. He began as an ML researcher and computer vision practitioner for remote sensing, then shifted focus to building data pipelines, tooling, and distributed serving infrastructure that enable rapid model iteration. His trajectory includes founding a startup and senior engineering roles at Labelbox before joining Google, reflecting strong product sensibilities alongside deep technical chops. Matt specializes in scaling ML workflows and operationalizing models for real-world use, having worked across startups and enterprise settings in insurance and mapping domains. Colleagues describe him as someone who values practical data collection and iteration as much as model innovation—turning academic ideas into reliable, maintainable systems.
10 years of coding experience
7 years of employment as a software developer
Bachelor's degree, Finance, Bachelor's degree, Finance at Marist CollegeMaster's degree, Computer Science, Master's degree, Computer Science at Marist University
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (50)
data-quality10
data-validation10
python10
data-science10
machine-learning10
text-annotation10
ml10
python-client10
mlops10
deep-learning10
tensorflow10
sdk10
deep-neural-networks10
ai10
fairness-ml10
Programming languages (4)
Github contributions (5)
Labelbox/labelbox-python
Feb 2021 - Jan 2023
The data factory for next gen AI
Contributions:43 releases, 717 reviews, 1207 commits in 2 years
fairness-mlpythondata-qualitytext-annotationlabelbox
msokoloff1/Adversarial-Neural-Cryptography
Feb 2017 - Mar 2017
Contributions:22 commits, 20 pushes, 1 branch in 1 month
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