16 days ago
Base Salary
$176k - $220k/yr
Responsibilities
- Design, train, and deploy machine learning models for ransomware detection, suspicious session identification, and user behavior analytics.
- Own end-to-end ML pipelines processing high-volume security event streams with Apache Spark, GCP Dataflow, and Vertex AI.
- Create and maintain feature stores for real-time and batch anomaly detection systems.
- Deploy, monitor, and iterate on production ML models serving enterprise customers at scale.
- Collaborate with Platform, Application Engineering, and Product teams to translate security requirements into ML solutions.
- Participate in an on-call rotation and respond to and triage operational issues.
Requirements
- At least 3 years of applied machine learning experience.
- Strong programming skills in Python.
- Experience deploying and maintaining ML models serving real traffic.
- Experience with GCP services including Vertex AI, BigQuery, and Dataflow, or equivalent experience with AWS SageMaker or Azure ML.
- Deep understanding of feature engineering, model evaluation, and MLOps.
- Strong communication skills and ability to explain complex ML concepts to non-technical stakeholders.
- Preferred experience in security or threat detection, anomaly detection, fraud detection, sequential data, behavioral modeling, streaming or real-time ML systems, LLMs and AI safety, Java service integrations, or ML security publications and contributions.
Benefits
- Eligible for equity and benefits.
- Work from the assigned office at least 3 days per week.
- Includes participation in an on-call rotation.
Tech Stack
Categories
About Box
Box builds a cloud content management platform for enterprises, combining secure file storage and sharing with collaboration, governance, e-signature, and workflow automation. It sells subscriptions (SaaS) to organizations that need to manage the lifecycle of business content and integrate with productivity apps. Founded in 2005 and headquartered in Redwood City, CA, Box is a public company (NYSE: BOX) used by customers such as JLL, Morgan Stanley, and Nationwide.