zscaler

Principal Machine Learning Engineer

Apply Now

At a Glance

Location
United States
Experience
10+ years
Posted
2026-02-12T15:31:12-05:00

Key Requirements

Required Skills

AWSGCPMachine Learning

Domain Knowledge

  • Cloud
  • Cybersecurity
  • Education
  • Engineering
  • Medical

Requirements

You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful.

You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution.

You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact.

You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.

You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.

Responsibilities

Lead the design and development of cutting edge, production ready AI/ML systems and pipelines, cybersecurity applications and provide technical guidance to junior and mid-level engineers

Optimize existing machine learning pipelines for improved efficiency and scalability

Explore and experiment with advanced AI techniques and architectures to solve complex cybersecurity problems while staying updated on the latest advancements in AI

Collaborate with cross-functional teams to define project requirements and ensure alignment with business objectives

Ensure systems and applications meet reliability, scalability and performance requirements