Jan. 4, 2024, 7 p.m. | Sergio De Simone

InfoQ - AI, ML & Data Engineering www.infoq.com

To help detect and remove content that violates their standard policies, LinkedIn has been using its AutoML framework, which trains classifiers and experiments with multiple model architectures in parallel, explain LinkedIn engineers Shubham Agarwal and Rishi Gupta.

By Sergio De Simone

abuse ai architectures automl classifiers devops engineers framework gupta information security linkedin machine machine learning ml & data engineering multiple shubham agarwal standard threats trains

More from www.infoq.com / InfoQ - AI, ML & Data Engineering

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Software Engineer, Machine Learning (Tel Aviv)

@ Meta | Tel Aviv, Israel

Senior Data Scientist- Digital Government

@ Oracle | CASABLANCA, Morocco