Sr Staff Security Researcher (Machine Learning)

Your Career

We are seeking a security research engineer to join our pioneering security team. This role is for a technical expert passionate about deconstructing complex threats and building the next generation detection systems. You will be responsible for leading our efforts in threat research which demands a deep background in malware reverse engineering. You will also spearhead the design and implementation of innovative security solutions using generative AI large language models (LLMs) and agentic systems to automate and scale our detection and analysis capabilities keeping us ahead of sophisticated adversaries.

Your Impact

• Deep Malware Reverse Engineering: Perform in-depth static and dynamic analysis of malicious code by reverse engineering complex binaries (x86/x64 ARM etc.). Uncover novel malware techniques extract indicators of compromise (IOCs) and develop robust signatures and behavioral detections.

• AI-Driven Detection & Automation: Lead end-to-end machine learning projects for threat detection. This encompasses defining the model architecture sourcing and preparing data building and managing training pipelines deploying models into production and monitoring their performance. Design build and deploy innovative security solutions leveraging Generative AI and agentic systems. Develop intelligent agents and workflows to automate threat hunting accelerate malware analysis and streamline threat intelligence processes
• Research & Publication: Disseminate cutting-edge research findings and contribute to the security community by publishing results in technical blogs industry white papers and academic papers particularly on topics related to malware analysis and AI for security
• Collaboration & Communication: Work closely with cross-functional teams including other security services: threat prevention internet security and IoT security endpoint security to integrate and deliver sustainable and quality coverage and defense

Qualifications :

Your Experience 

• BS/MS/PhD degree in Computer Science Cybersecurity or a related field or equivalent practical experience.

• 6 years of experience in a technical security role with a strong emphasis on malware analysis exploit development or threat research.

• Extensive hands-on experience in reverse engineering using tools like IDA Pro Ghidra x64dbg etc.

• Proficiency in one or more programming languages (e.g. Python Go C).

• Proven experience applying Generative AI Large Language Models (LLMs) and modern machine learning techniques to solve complex security problem is a plus

• A proven track of top tier publications in cybersecurity related areas is a plus.

Additional Information :

The Team

Our engineering team is at the core of our products connected directly to the mission of preventing cyberattacks. We are constantly innovating challenging the way we and the industry think about cybersecurity. Our engineers dont shy away from building products to solve problems no one has pursued before. We define the industry instead of waiting for directions. We need individuals who feel comfortable in ambiguity excited by the prospect of a challenge and empowered by the unknown risks facing our everyday lives that are only enabled by a secure digital environment.

Compensation Disclosure

The compensation offered for this position will depend on qualifications experience and work location. For candidates who receive an offer at the posted level the starting base salary (for non-sales roles) or base salary commission target (for sales/commissioned roles) is expected to be between $157000/YR - $255000/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here.

Our Commitment

Were problem solvers that 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.

Is role eligible for Immigration Sponsorship: Yes

Remote Work :

No

Employment Type :

Full-time