Senior Staff Software Engineer, Machine Learning at LinkedIn
San Francisco, California, United States
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Summary
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Senior
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Top School
James Verbus is a Senior Staff Software Engineer specializing in production-scale AI and machine learning at LinkedIn, with nine years of experience applying ML to platform trust, security, and developer productivity. He built LinkedIn’s generative-AI image detection and first deepfake video detection systems, pioneered sequence-based detection methods now patented, and led cross-organizational AI productivity initiatives that saved an estimated 130 engineering-quarters per year. A physicist by training (PhD, Brown), he brings rigorous experimental and high-performance computing experience to ambiguous, high-impact problems and has a track record of turning research collaborations into production systems. He’s a prolific mentor and talent developer who’s promoted multiple leaders, spoken at top conferences and DARPA panels, and contributed open-source tooling that scaled defenses across LinkedIn.
10 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Experimental Particle Astrophysics, Doctor of Philosophy (Ph.D.) Experimental Particle Astrophysics at Brown University
Bachelor of Science (B.S.) Physics, Bachelor of Science (B.S.) Physics at Case Western Reserve University
A distributed Spark/Scala implementation of the isolation forest and extended isolation forest algorithms for unsupervised outlier detection, featuring support for scalable training and ONNX export for easy cross-platform inference.
Contributions:11 releases, 5 reviews, 40 commits in 3 years 4 months
Contributions:6 pushes, 1 branch in 1 year 3 months
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