Senior ML Engineer: Threat Detection & AI Security

Salesforce

San Francisco (CA)

On-site

USD 149,000 - 246,000

Full time

2 days ago
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Benefits offered by this job

Time off programs
Medical insurance
Dental insurance
Vision insurance
Mental health support
Paid parental leave
Life and disability insurance
401(k)
Employee stock purchase program

Job summary

Salesforce is seeking a Senior Machine Learning Engineer within the Trust Intelligence Platform to architect data‑driven threat detection strategies across the security organization. You will translate complex security threats into mathematical problems and implement advanced detection capabilities like probabilistic modeling and graph analytics.

You will operationalize production‑grade ML models to minimize alert fatigue, collaborating with security teams to deliver scalable, robust solutions

Qualifications

  • Senior ML Engineer focused on threat detection and risk modeling.
  • Experience translating security threats into mathematical problems.
  • Ability to operationalize production‑grade ML models to reduce alert fatigue.
  • Collaborates with security teams to define scalable ML solutions.

Responsibilities

  • Architect data‑driven strategies for threat detection across the security org.
  • Translate complex threats into mathematical formulations and models.
  • Implement detection capabilities using probabilistic modeling and graph analytics.
  • Deploy production ML models to minimize alert fatigue and improve response times.

Skills

ML engineering
Threat detection
Probabilistic modeling
Graph analytics

Tools

Python
Machine learning frameworks
Graph analytics tools

Job description

Salesforce is seeking a Senior Machine Learning Engineer within the Trust Intelligence Platform to architect data‑driven threat detection strategies across the security organization. You will translate complex security threats into mathematical problems and implement advanced detection capabilities like probabilistic modeling and graph analytics.

You will operationalize production‑grade ML models to minimize alert fatigue, collaborating with security teams to deliver scalable, robust solutions

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