Jacob Van Gogh
Member Of Technical Staff at Thinking Machines Lab
Redwood City, California, United States
Summary
👤
Senior🎓
Top SchoolJacob Van Gogh is a machine learning research engineer with 10 years of experience building end-to-end ML systems for agents, vision, and real-world products from startups to hyperscale labs. He has led modeling and data-stack efforts at Adept AI and Amazon Labs—shipping vision-only browser agents, open-ended agent learning, and task-synthesis systems—and architected continual learning, causal ML, and low-latency inference at Lyft. Comfortable across research and product boundaries, he repeatedly bridges self-supervised pretraining, multi-modal architectures, and production pipelines to turn novel ideas into deployed capabilities. His background in chemical engineering and early lab research informs a pragmatic, experiment-driven approach to modeling and instrumentation. Based in Redwood City, he favors projects that demand both algorithmic inventiveness and robust system design. Colleagues describe him as a research leader who ships production-grade ML rather than letting prototypes languish.
10 years of coding experience
9 years of employment as a software developer
Bachelor's degree Chemical Engineering, Bachelor's degree Chemical Engineering at Stanford University
English, Japanese
Github Skills (1)
iobroker1
Programming languages (1)
Github contributions (5)
jrvangogh/jrvg-config
Oct 2022 - Dec 2022
Contributions:10 commits, 66 pushes, 6 branches in 2 months
jrvangogh/top-reddit-post-tweet-bot
Sep 2015 - Sep 2016
Contributions:7 pushes, 1 branch in 1 year
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