Staff Machine Learning Engineer

Our Mission

At Palo Alto Networks®, we’re united by a shared mission—to protect our digital way of life. We thrive at the intersection of innovation and impact, solving real-world problems with cutting-edge technology and bold thinking. Here, everyone has a voice, and every idea counts. If you’re ready to do the most meaningful work of your career alongside people who are just as passionate as you are, you’re in the right place.

Who We Are

In order to be the cybersecurity partner of choice, we must trailblaze the path and shape the future of our industry. This is something our employees work at each day and is defined by our values: Disruption, Collaboration, Execution, Integrity, and Inclusion. We weave AI into the fabric of everything we do and use it to augment the impact every individual can have. If you are passionate about solving real-world problems and ideating beside the best and the brightest, we invite you to join us!

We believe collaboration thrives in person. That’s why most of our teams work from the office full time, with flexibility when it’s needed. This model supports real-time problem-solving, stronger relationships, and the kind of precision that drives great outcomes.

Job Summary

Your Responsibilities

Build AI-driven applications, agents, and workflow orchestration for marketing and GTM use casesIntegrate LLMs, tools, APIs, business rules, and data into production workflowsBuild scalable full-stack solutions across React, APIs, backend services, and data pipelinesDesign and implement cloud-native, event-driven distributed systemsOwn technical initiatives from design through productionContribute to architecture, code reviews, testing, observability, and reliabilitySimplify integrations and automate manual marketing processesCollaborate with product managers, engineers, and cross-functional teams

Qualifications

Your Experience

Required

Bachelor’s or Master’s degree in Computer Science, Engineering, or related field3–5 years of software engineering experienceStrong hands-on experience with Java, Kotlin, Python, or Node.jsExperience building production applications using LLMs, prompt engineering, or tool callingExperience with React or modern frontend frameworksExperience with AWS, Azure, or GCPExperience with Docker, Kubernetes, and distributed systemsUnderstanding of event-driven architectures, APIs, messaging, and data pipelinesStrong problem-solving, ownership, and communication skills

Preferred

Experience building AI agents or agent-based workflowsExperience with RAG, embeddings, vector databases, or semantic searchExperience applying AI to marketing, sales, or GTM workflowsUnderstanding of enterprise security, privacy, and data governanceExperience improving system scalability, reliability, or developer productivity

Our Commitment

We’re trailblazers that dream big, take risks, and challenge cybersecurity’s status quo. It’s simple: we can’t accomplish our mission without diverse teams innovating, together.

We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at accommodations@paloaltonetworks.com.

Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics.

All your information will be kept confidential according to EEO guidelines.

Is role eligible for Immigration Sponsorship? No. Please note that we will not sponsor applicants for work visas for this position.