Senior Principal Security Research Agent ML Team (Cortex)

Our Mission

At Palo Alto Networks were united by a shared missionto 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 youre ready to do the most meaningful work of your career alongside people who are just as passionate as you are youre 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!

Job Summary

We are seeking a Senior / Principal Security Researcher to join our high-caliber Security ML Team. Our team solves complex security challenges using disruptive technologies AI/ML algorithms and massive datasets to design and develop groundbreaking security solutions that transition directly from research into production-grade protection.

In this role you will serve as the core security domain expert within a multidisciplinary team providing essential security-side expertise to assist in the development of ML models deeplearning models and Small Language Models (SLMs). By translating complex malware behaviors and static file attributes into actionable logic your research will directly shape the algorithms that protect millions of endpoints worldwide. If you are looking to autonomously drive high-impact research initiatives from inception to production and use data-informed critical thinking to influence advanced security modeling we want to hear from you.

Key Responsibilities

• The Bridge to the AI Ecosystem: Serve as the core security domain expert within a multidisciplinary team translating complex malware behaviors and static file attributes into actionable features labels or heuristicsfueling AI algorithms and automated data-driven security logic.

• Telemetry & Sensor Optimization: Analyze raw endpoint telemetry (such as memory buffers hook outputs and IPC artifacts) to evaluate algorithm effectiveness and work with AI researchers to tweak or implement new models..

• Deconstruct File Behavior: Look past the black box of machine learning by digging into executable formats (PE ELF Mach-O) and scripts to identify malicious behavior(e.g. packing anomalous imports obfuscation).

• Drive Intelligent Protections: Take a security hypothesis validate it via data analysis and build Python-based proof-of-concepts that scale into production-grade detectionsspanning machine learning classifiers to AI-informed automated rule generation.

• Shape the Pipeline: Influence data pipeline strategies and model design by ensuring our datasets and automated logic accurately capture the ground truth of modern threat landscapes.

Qualifications

Required Qualifications

• OS Internals Generalist: At least 3 years of experience in endpoint security research or offensive/defensive OS internals with a strong conceptual grasp of Windows Linux or macOS subsystems (deep understanding of at least one).

• Malware Analysis & Reverse Engineering: Practical experience with both dynamic and static analysis of malware utilizing core reverse engineering concepts to parse file structures unpack binaries or understand execution flow.

• System Diagnostics & Tracing: Hands-on experience utilizing low-level monitoring and tracing tools to dissect active system behavior (e.g. Sysinternals suite strace ptrace lsof netstat ).

• Malware Execution Mechanics: Solid understanding of common malware methodologies (MITRE ATT&CK) process injection API hooking and evasion techniques at the operating system layer.

• Data-Informed Critical Thinking: Strong investigative skills using analytics and data interpretation to separate true security signals from normal OS noise.

• Proficient Python Coding: Strong hands-on Python skills for data manipulation file parsing and rapid prototyping.

• Collaborative Communication: Excellent communication skills with the ability to explain low-level technical research results clearly to non-security disciplines (Data Scientists MLOps Product Managers).

• End-to-End Project Ownership: Proven ability to autonomously drive complex research initiatives from inception to production balancing independent deep-dives with cross-functional teamwork.

Preferred Qualifications

• Native Code Comprehension: Proficiency in C / C / Rust (specifically for reading/interpreting agent code hook structures and raw memory buffers).
  Data Scale: Experience with big data platforms (e.g. GCP) SQL or related query languages.
  ML Exposure: Prior experience working alongside data-driven workflows data science teams or Machine Learning models

Our Commitment

Were trailblazers that dream big take risks and challenge cybersecuritys status quo. Its simple: we cant 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 .

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.