Machine Learning Engineer III, Shield

About Box

Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform 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 JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia.

About the Role

Box Shield is an add-on security layer that protects the flow of information and reduces content-centric risk without adding friction. It uses classification-based controls to prevent data loss and AI-powered, context-aware alerts to detect malware, compromised accounts, and malicious behavior at scale.

Shield's mission is to secure enterprise content while delivering a seamless user experience, ensuring Box remains the platform of choice for secure Intelligent Content Management. The Shield team is hiring Machine Learning engineers to build and scale ML systems that safeguard millions of users and billions of files from ransomware, data exfiltration, insider threats, and emerging AI-based attacks. As part of a fast-paced backend/core team, you'll collaborate across Box to ship future-proof security capabilities for high-demand use cases.

Responsibilities

• Build Threat Detection Models: Design, train, and deploy ML models for ransomware detection, suspicious session identification, and user behavior analytics
• Scale Data Pipelines: Own end-to-end ML pipelines that process high-volume security event streams using Apache Spark, GCP Dataflow, and Vertex AI
• Feature Engineering: Create and maintain feature stores that power real-time and batch anomaly detection systems
• Production ML Systems: Deploy, monitor, and iterate on ML models in production, serving enterprise customers at scale
• Cross-functional Collaboration: Partner with Platform, Application Engineering, and Product teams to translate security requirements into ML solutions
• Participate in our on-call rotation, available at all times while on-call to help respond to and triage any issues that arise

Must Have Experience

• 3+ years of experience in applied machine learning
• Strong programming skills in Python
• Deployed and maintained ML models serving real traffic
• Experience with GCP (Vertex AI, BigQuery, Dataflow) or equivalent (AWS SageMaker, Azure ML)
• Deep understanding of feature engineering, model evaluation, and MLOps
• Strong communication skills with ability to explain complex ML concepts to non-technical stakeholders

Nice To Have Experience

• Experience in security/threat detection, anomaly detection, or fraud detection
• Experience with sequential data, anomaly detection, or behavioral modeling (time-series forecasting, LSTM, Transformers, or similar)
• Knowledge of LLMs and AI safety (prompt injection, guardrails, red-teaming)
• Experience with streaming/real-time ML systems
• Familiarity with Java for service integrations
• Publications or contributions in ML security

Tech Stack

• Languages: Python, Scala, Java
• ML/Data: Apache Spark, Vertex AI, BigQuery, TensorFlow/PyTorch
• Infrastructure: GCP, Kubernetes
• Domains: User Behavior Analytics, Time-Series Anomaly Detection, AI Security, Content classification, Ransomware Detection

Work Expectations

Box lives its values, with community and in-person collaboration being a core part of our culture. Boxers are expected to work from their assigned office a minimum of 3 days per week.

Compensation & Benefits

Redwood City Pay Range: $175,500—$219,500 USD

This role is also eligible for equity and benefits.

Actual base salary (or OTE if commissionable role) is dependent upon factors such as: knowledge, skill level, experience, and work location. For more information, check out our benefits and perks.

Equal Opportunity

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation. Box strives to respect the dignity and independence of people with disabilities and is committed to giving them the same opportunity to succeed as all other employees. Inclusiveness is core to our culture at Box, and we strive to ensure you get the most from your interview experience.

Box makes reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please complete this form. Reasonable accommodations may include scheduling adjustments, document dictation and beyond.

Notice to applicants in Los Angeles: Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the Los Angeles Fair Chance Ordinance. The Fair Chance Ordinance is provided here.

Notice to applicants in San Francisco: Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chance Ordinance. The Fair Chance Ordinance is provided here.

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