MuleSoft is seeking a Security Data Science Engineer to join their team in Seattle, WA. The role involves designing and developing AI-driven defense systems to enhance security measures across Salesforce's global infrastructure.
About the Role
As a Security Data Science Engineer, you will collaborate with security engineers and product teams to address high-impact security problems, design detection and response solutions, and operationalize machine learning models and AI agents. Your responsibilities will include building intelligent systems for real-time threat detection, integrating large language models with security data, and automating security tasks through AI agents.
About You
Required:
6+ years of industry experience in machine learning solutions.
Proven track record in machine learning engineering focused on security use cases.
Experience deploying and maintaining ML systems in cloud environments (AWS or GCP).
Expert-level proficiency in Python and solid understanding of data transformations using libraries like Pandas and Scikit-learn.
Preferred:
Familiarity with Large Language Model (LLM) applications in security.
Experience managing data science or ML-driven security products.
Excellent communication skills to translate technical concepts for stakeholders.
Benefits
Time off programs including paid parental leave.
Comprehensive medical, dental, and vision coverage.
Mental health support and life insurance.
401(k) plan and employee stock purchasing program.
MuleSoft
MuleSoft, the world’s #1 integration and API platform, makes it easy to connect data from any system to create connected experiences faster. For more information, visit https://www.mulesoft.com.
Company Size: 5001-10,000 employeesIT Services and IT Consulting