Machine Learning Engineer III, Shield
$175.5k/y-$219.5k/y
Boxa day ago
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OnsiteFull-timeMid
Summary
Box is seeking a Machine Learning Engineer III for their Shield team in Redwood City, CA. The role focuses on building and scaling ML systems to protect enterprise content from various security threats.
About the Role
As a Machine Learning Engineer III, you will design, train, and deploy ML models for threat detection, manage end-to-end ML pipelines, and collaborate with cross-functional teams to implement security solutions. You will also participate in an on-call rotation to address any issues that arise.
About You
Required:
- 3+ years of experience in applied machine learning.
- Strong programming skills in Python.
- Experience deploying and maintaining ML models serving real traffic.
- Familiarity with GCP (Vertex AI, BigQuery, Dataflow) or equivalent.
- Deep understanding of feature engineering, model evaluation, and MLOps.
- Strong communication skills to explain complex ML concepts to non-technical stakeholders.
Preferred:
- Experience in security/threat detection, anomaly detection, or fraud detection.
- Experience with sequential data, anomaly detection, or behavioral modeling.
- Knowledge of LLMs and AI safety.
- Experience with streaming/real-time ML systems.
- Familiarity with Java for service integrations.
- Publications or contributions in ML security.
Benefits
- Competitive salary range of $175.5k–$219.5k.
- Equity and comprehensive benefits package including healthcare.
Box
Box (NYSE:BOX) is the Intelligent Content Cloud, a single platform that enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. Founded in 2005, Box simplifies work for leading global organizations, including AstraZeneca, JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia. Visit box.com to learn more. And visit box.org to learn more about how Box empowers nonprofits to fulfill their missions.
Redwood City, CA