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Lead Member of Technical Staff (LMTS) — Security Data Science & ML Engineering

at Salesforce

Back to all Data Science / AI / ML jobs
S
Industry not specified

Lead Member of Technical Staff (LMTS) — Security Data Science & ML Engineering

at Salesforce

Tech LeadNo visa sponsorshipData Science/AI/ML

Posted 5 hours ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Not specified
Country
Not specified

Lead Member of Technical Staff (LMTS) in Security Data Science & ML Engineering leads the design and deployment of advanced ML and data science solutions to strengthen security at scale. Responsibilities include building secure data pipelines, developing threat-detection models, and collaborating with cross-functional teams to integrate ML into security tooling. The role requires technical leadership, mentoring engineers, and delivering production-ready ML systems with strong reliability and performance. This position sits at the intersection of security engineering and data science, driving innovation in ML for security applications.

No additional description provided.

Lead Member of Technical Staff (LMTS) — Security Data Science & ML Engineering

at Salesforce

Back to all Data Science / AI / ML jobs
S
Industry not specified

Lead Member of Technical Staff (LMTS) — Security Data Science & ML Engineering

at Salesforce

Tech LeadNo visa sponsorshipData Science/AI/ML

Posted 5 hours ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Not specified
Country
Not specified

Lead Member of Technical Staff (LMTS) in Security Data Science & ML Engineering leads the design and deployment of advanced ML and data science solutions to strengthen security at scale. Responsibilities include building secure data pipelines, developing threat-detection models, and collaborating with cross-functional teams to integrate ML into security tooling. The role requires technical leadership, mentoring engineers, and delivering production-ready ML systems with strong reliability and performance. This position sits at the intersection of security engineering and data science, driving innovation in ML for security applications.

No additional description provided.

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