Security Data Science Engineer
$148.5k/y-$246k/y
MuleSoft2 days ago
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OnsiteFull-timeSenior
Summary
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.
Seattle, WA