Machine Learning Engineer III, Shield

By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It’s the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift., 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. Shield keeps customer content safe by surfacing malware, compromised accounts, and anomalous behavior early, giving administrators the context they need to take proactive action before incidents escalate.

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.

WHAT YOU’LL DO

• 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, Google Cloud Platform 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., 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 Chair 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 Chair Ordinance. The Fair Chance Ordinance is provided here.

• 3+ years of experience in applied machine learning
• Strong programming skills in Python
• Deployed and maintained ML models serving real traffic
• Experience with Google Cloud Platform (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 You’ll Work With

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

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.Your Recruiter will share more about how we work and company culture during the hiring process.

Box is committed to fair and equitable compensation practices. Actual base salary (or OTE if commissionable role) is dependent upon factors such as: knowledge, skill level, experience, and work location. This role is also eligible for equity and benefits. For more information, check out our benefits and perks.

In accordance with OFCCP compliance, here is the Pay Transparency Provision.

Redwood City Pay Range

$175,500-$219,500 USD

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. We help companies thrive in the new AI-first era of business. 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.