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James Verbus is listed as Sr. Staff Software Engineer, Machine Learning at LinkedIn | AI/ML | Ph.D. in Physics | Advancing Trust, Security & AI Productivity at LinkedIn, based in San Francisco Bay Area, United States, United States. AeroLeads shows a work email signal at linkedin.com, phone signal with area code 401, 650, and a matched LinkedIn profile for James Verbus.
James Verbus previously worked as Senior Staff Software Engineer, Machine Learning at Linkedin and Staff Software Engineer, Machine Learning at Linkedin. James Verbus holds Doctor Of Philosophy (Ph.D.), Experimental Particle Astrophysics from Brown University.
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AeroLeads found 1 current-domain work email signal for James Verbus. Compare company email patterns before reaching out.
Experienced Senior Staff Software Engineer specializing in the large-scale application of AI and machine learning at LinkedIn. Drives innovative AI strategies that enhance platform trust and security, and boost developer productivity. Expert in developing cutting-edge AI/ML approaches to tackle ambiguous and complex business problems. Proven leader and mentor, fostering the growth of high-performing teams and cultivating new technical leaders to achieve strategic objectives.Recognized thought leader with multiple patents and significant open-source contributions. Authored publications and presented at conferences while collaborating with academic experts to advance the field at the intersection of trust and AI.
Listed skills include Physics, Data Analysis, Latex, Matlab, and 53 others.
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Sunnyvale, CA, US
โ ๐๐ ๐ฝ๐ฟ๐ผ๐ฑ๐๐ฐ๐๐ถ๐๐ถ๐๐: Led a 1.5-year, cross-org initiative, driving AI strategy across >150 projects and 77+ ICs. Delivered an estimated >130 engineering-quarters of productivity savings per year across Trust, with platform improvements extending even further across all AI teams at LinkedIn, increasing overall impact. Evangelized the strategy, secured.
Sunnyvale, CA, US
โ ๐๐ฒ๐ฎ๐ฑ๐ฒ๐ฟ๐๐ต๐ถ๐ฝ: Led a team of 40+ engineers and managers as the Anti-Abuse AI technical lead for over two years, developing AI strategies that effectively combat platform abuse.โ ๐๐ฒ๐๐ฒ๐ฐ๐๐ถ๐ผ๐ป ๐ผ๐ณ ๐๐ฒ๐ป๐ฒ๐ฟ๐ฎ๐๐ถ๐๐ฒ ๐๐ ๐ฐ๐ผ๐ป๐๐ฒ๐ป๐: Created LinkedIn's first deepfake video detection system using deep learning, enhancing platform integrity and user trust.โ ๐ ๐ฒ๐บ๐ฏ๐ฒ๐ฟ ๐ฎ๐ฐ๐๐ถ๐๐ถ๐๐.
Sunnyvale, CA, US
โ ๐๐ฒ๐ฎ๐ฑ๐ฒ๐ฟ๐๐ต๐ถ๐ฝ: Tech lead of the Anti-Scraping and Automation AI team, focused on detecting and preventing automated bot behavior to safeguard LinkedInโs platform integrity.โ ๐ ๐ ๐ถ๐ป๐ป๐ผ๐๐ฎ๐๐ถ๐ผ๐ป (๐ถ๐๐ผ๐น๐ฎ๐๐ถ๐ผ๐ป ๐ณ๐ผ๐ฟ๐ฒ๐๐): Developed LinkedInโs first general-purpose outlier detection library by implementing isolation forest in Spark/Scala. Open-sourced the library, now.
Sunnyvale, CA, US
โ ๐๐ฎ๐ธ๐ฒ ๐ฎ๐ฐ๐ฐ๐ผ๐๐ป๐ ๐บ๐ผ๐ฑ๐ฒ๐น๐: I built abusive entity reputation and fake account detection machine learning models while working in the Anti-Abuse AI Team.
San Francisco, CA, US
โ ๐๐/๐ ๐ ๐ฐ๐ผ๐ป๐๐๐น๐๐ถ๐ป๐ด: Created an account takeover (ATO) detection system while consulting for Castle (YC W16).โ ๐ฆ๐๐ฎ๐๐ถ๐๐๐ถ๐ฐ๐ฎ๐น ๐บ๐ผ๐ฑ๐ฒ๐น๐ถ๐ป๐ด: Developed a statistical model for unsupervised anomalous event detection resulting in a >2ร improvement in the recall of compromised accounts over the existing model with the same false positive rate.
Providence, Rhode Island, US
โ ๐ช๐ผ๐ฟ๐น๐ฑ-๐น๐ฒ๐ฎ๐ฑ๐ถ๐ป๐ด ๐ฟ๐ฒ๐๐ฒ๐ฎ๐ฟ๐ฐ๐ต: Led the experimental design, operations, and data analysis effort for a novel, world-leading calibration of the world's most sensitive dark matter detector.โ ๐๐ฒ๐ฎ๐ฑ๐ฒ๐ฟ๐๐ต๐ถ๐ฝ: Managed the data processing working group while scaling up the data pipeline for production use. Managed a team of scientists and engineers as a calibration.
Other employees you can reach at dukelong.com. View company contacts →
Nelson Goodwin
Colleague at Linkedin
Omaha, Nebraska, United States, United States
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Kelsey Ferris
Colleague at Linkedin
Omaha Metropolitan Area, United States, United States
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CK
Chien Kai (Kevin) Wang
Colleague at Linkedin
Cupertino, California, United States, United States
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Greg Gillette
Colleague at Linkedin
San Francisco Bay Area, United States, United States
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Liangzhao Zeng
Colleague at Linkedin
San Francisco Bay Area, United States, United States
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NS
Nancy Shen
Colleague at Linkedin
United States, United States
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Steve Na
Colleague at Linkedin
Mountain View, California, United States, United States
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SP
Sandhya Pappu
Colleague at Linkedin
Mountain View, California, United States, United States
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JS
Jagadeesan Sundaresan
Colleague at Linkedin
Fremont, California, United States, United States
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Tristan Pollard
Colleague at Linkedin
San Francisco Bay Area, United States, United States
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Quick answers generated from the profile data available on this page.
James Verbus works for LinkedIn.
James Verbus is listed as Sr. Staff Software Engineer, Machine Learning at LinkedIn | AI/ML | Ph.D. in Physics | Advancing Trust, Security & AI Productivity at LinkedIn.
AeroLeads has found 1 work email signal at @linkedin.com for James Verbus at LinkedIn.
AeroLeads has found 3 phone signal(s) with area code 401, 650 for James Verbus at LinkedIn.
James Verbus is based in San Francisco Bay Area, United States, United States while working with LinkedIn.
James Verbus has worked for Linkedin, Insight Data Science, and Brown University.
James Verbus's colleagues at LinkedIn include Nelson Goodwin, Kelsey Ferris, Chien Kai (Kevin) Wang, Greg Gillette, and Liangzhao Zeng.
You can use AeroLeads to view verified contact signals for James Verbus at LinkedIn, including work email, phone, and LinkedIn data when available.
James Verbus holds Doctor Of Philosophy (Ph.D.), Experimental Particle Astrophysics from Brown University.
James Verbus is listed with skills including Physics, Data Analysis, Latex, Matlab, Python, Experimentation, Scientific Computing, and Numerical Analysis.
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