Machine Learning Engineer, Agents
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The role
Lead the development of machine learning systems to identify abusive users and fraudulent content in documents shared between users.
Build models that evaluate both document content and user behavior for nuanced detection of spam and scams in shared environments.
Own key detection pipelines: develop, deploy, and maintain systems that monitor documents, interactions, and sharing patterns.
Leverage NLP and ML advances to understand, flag, and stop suspicious activity in real time.
Operate with autonomy in a fast-paced, mission-driven setting, delivering rapid concept-to-deployment iterations.
Collaborate with cross-functional teams to ensure high-quality user experiences and secure collaboration for a global user base.
Build models that evaluate both document content and user behavior for nuanced detection of spam and scams in shared environments.
Own key detection pipelines: develop, deploy, and maintain systems that monitor documents, interactions, and sharing patterns.
Leverage NLP and ML advances to understand, flag, and stop suspicious activity in real time.
Operate with autonomy in a fast-paced, mission-driven setting, delivering rapid concept-to-deployment iterations.
Collaborate with cross-functional teams to ensure high-quality user experiences and secure collaboration for a global user base.
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