Principal Security Researcher (DNS Security)

Palo Alto Networks • Santa Clara, CA

1d • Onsite

About The Position

The DNS Security Research team delivers high-quality content to our products to prevent successful cyberattacks, focusing especially on DNS security, IP layer defense, and network security. We design, build, and maintain various detection systems and data infrastructures to protect customers against constantly evolving threats and attacks.

Requirements

• BS/MS in Computer Science with 5+ years of security research experience; or, a PhD in Cyber Security or Machine Learning with 2+ years of security research experience.
• Creative thinker and team player.
• Have great passion and be highly self-motivated in data-driven security research
• Expertise in DNS and IPv4/IPv6
• Good knowledge of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Trees, Logistic Regression, Deep Learning, and Boosting
• Familiar with large-language models (LLMs) and experience to leverage them to address cybersecurity threats
• Excellent programming skills in Python, Shell script, Go, or SQL
• Understanding of core network protocols (TCP/IP, HTTP/HTTPS, etc.)
• Knowledge and experience with modern databases and big data tools, such as MySQL, MongoDB, Elasticsearch, Redis, BigQuery
• Be comfortable working independently, efficiently
• Excellent communication (written and verbal) and presentation skills

Nice To Haves

• Experience with malware traffic analysis is a plus
• Experience with graph database (e.g. Neo4j, Amazon Neptune), graph-based analysis is a plus
• Experience with Google Cloud Platform is a plus
• Proven success (past publication record, open source project contributions) is a big plus

Responsibilities

• Track and research emerging threats and innovate new ways to identify malicious indicators used by malware and attacks, including domains, URLs, IP addresses, sha256, email addresses, etc.
• Design and build scalable and extensible prevention/detection systems
• Leverage data-driven approaches, such as statistical analysis, machine learning, and other advanced techniques
• Convert research results and discoveries into products, research papers, etc.

Benefits

• A description of our employee benefits may be found here.

What This Job Offers

• Job Type: Full-time
• Career Level: Principal
• Number of Employees: 5,001-10,000 employees