Senior Machine Learning Engineer, Shield

Box; Redwood City (CA); On-site; USD 211,000 - 263,500; Full time

Benefits offered by this job

Equity

Comprehensive benefits package

Job summary

Box is seeking a Machine Learning Engineer in Redwood City, California, to design and deploy threat detection models. Ideal candidates will have over 5 years in applied ML, strong skills in Python, and a solid background with GCP technologies. The role requires collaboration with various teams to implement scalable ML systems. Compensation ranges from $211,000 to $263,500, including equity and benefits. Box values diversity and is committed to equal opportunity employment.

Qualifications

• 5+ years of experience in applied machine learning.
• Strong programming skills in Python.
• Deployed and maintained ML models serving real traffic.

Responsibilities

• Design, train, and deploy ML models for various detection tasks.
• Own end-to-end ML pipelines for high-volume security event streams.
• Collaborate with cross-functional teams to translate security needs.

Skills

Applied Machine Learning

Python Programming

GCP (Vertex AI, BigQuery, Dataflow)

Collaboration and Communication

Education

Bachelor's degree in Computer Science or equivalent

Tools

Apache Spark

TensorFlow

PyTorch

Kubernetes

Job description

WHAT YOU'LL DO

• Build Threat Detection Models: Design, train, and deploy ML models for ransomware detection, suspicious session identification, user behavior analytics, and anomaly detection.
• Scale Data Pipelines: Own end‑to‑end ML pipelines that process high‑volume security event streams using Apache Spark, GCP Dataflow, GCP Dataproc, BigQuery 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.

WHO YOU ARE

We are an AI‑first company. This means you approach your work with a growth mindset and find ways to leverage AI to help make faster, smarter decisions that will 10X your impact at Box.

• 5+ years of experience in applied machine learning.
• Lead design and implementation efforts in building, deploying and supporting scalable ML systems.
• Experience with GCP (Vertex AI, BigQuery, Dataflow) or equivalent (AWS SageMaker, Azure ML).
• Strong communication skills with ability to explain complex ML concepts to non‑technical stakeholders.
• Ownership mindset with focus on delivering high‑quality work both technically & collaboratively.

MUST‑HAVE EXPERIENCE

• Bachelors or above degree in Computer Science or equivalent practical experience.
• Strong programming skills in Python.
• Deployed and maintained ML models serving real traffic.
• Deep understanding of feature engineering, model evaluation, and MLOps.
• Clear, inclusive communicator who values collaboration, mentorship, and continuous improvement.

NICE TO HAVE EXPERIENCE

• Experience in security/threat or fraud detection and with sequential data and behavioral modeling (e.g., anomaly detection, time‑series forecasting, LSTM, Transformers, or similar).
• Experience with streaming/real‑time ML systems.
• Experience with FedRAMP/compliance‑constrained environments.
• Familiarity with Java stack for service integrations.
• Publications or contributions in ML security.

Tech Stack You'll Work With

• Languages: Python, Go, 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.

United States Pay Range: $211,000 – $263,500 USD

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.

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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