Lead ML Engineer — Cybersecurity AI Architect

Zscaler, Inc.; San Jose (CA); Hybrid; USD 182,000 - 260,000; Full time

Job summary

Zscaler, Inc. is seeking a Principal Machine Learning Engineer for a hybrid role based in San Jose, CA. You will lead the design and deployment of production-grade AI/ML systems within our cloud-native security platform, guiding junior engineers and aligning with global cybersecurity objectives.

You will optimize pipelines, explore advanced AI architectures, and collaborate with cross-functional teams to solve complex threats while ensuring performance, scalability and reliability at scale.

Qualifications

• Bachelor’s degree in Computer Science or a related technical field.
• 10+ years of experience as a Machine Learning Engineer or Scientist, with a focus on cybersecurity.
• Strong proficiency in Algorithms, Game Theory and Optimization, Verification, and ML libraries and frameworks.
• Extensive experience in data modeling, feature engineering, model development, and error analysis.
• Excellent communication skills with the ability to translate complex technical concepts to stakeholders and peers.

Responsibilities

• Lead the design and development of production-ready AI/ML systems and pipelines for cybersecurity applications.
• Optimize existing machine learning pipelines for improved efficiency and scalability.
• Explore and experiment with advanced AI techniques and architectures to solve cybersecurity challenges.
• Collaborate with cross-functional teams to define project requirements and ensure alignment with business objectives.
• Ensure systems meet reliability, scalability and performance requirements.

Skills

Algorithms

Game Theory

Optimization

ML libraries

Data modeling

Feature engineering

Communication

Education

Bachelor's degree in Computer Science

Tools

AWS

GCP

Job description

Zscaler, Inc. is seeking a Principal Machine Learning Engineer for a hybrid role based in San Jose, CA. You will lead the design and deployment of production-grade AI/ML systems within our cloud-native security platform, guiding junior engineers and aligning with global cybersecurity objectives.

You will optimize pipelines, explore advanced AI architectures, and collaborate with cross-functional teams to solve complex threats while ensuring performance, scalability and reliability at scale.