Machine Learning Engineer III (AI Security)

Location: Redwood City, California, United States; hybrid schedule with a minimum of 3 days per week in the assigned office.

Base salary: $175,500–$219,500 USD per year, plus equity and benefits.

Company

hirify.global provides an intelligent content management platform for collaboration, content lifecycle management, security, and enterprise AI.

What you will do

• 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 supporting real-time and batch anomaly detection.
• 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 production issues.

Requirements

• 3+ years of experience in applied machine learning.
• Strong programming skills in Python.
• Experience deploying and maintaining ML models serving real traffic.
• Experience with GCP, 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 the ability to explain complex ML concepts to non-technical stakeholders.
• Ability to work from the assigned office at least 3 days per week and participate in an on-call rotation.

Nice to have

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

Culture & Benefits

• In-person collaboration and community are core parts of the working culture.
• Equity and employee benefits are available.
• hirify.global promotes diversity, inclusion, equal opportunity, and reasonable accommodations.