Intern - Security Researcher; PhD

Intern
- Security Researcher (PhD) The Team

Internships
- Our internship program provides a 1:1 mentorship, fun and engaging events that inspire your intellectual curiosity, opportunities to expand your knowledge and work on challenging projects, and connections to other interns, recent grads, and employees across the company as well as our leaders.

We are looking for a passionate and self-driven Security Researcher Intern to join our Cloud-Delivered Security Services team. As a Security Researcher you will play a critical role in developing and refining security content that powers our next-generation products. You’ll work on building and optimizing automation systems to gather and process real-time data, supporting the detection and prevention of malware and other digital threats.

Collaborating with experienced security researchers, you’ll analyze emerging threats and contribute to robust security solutions.

• Develop an understanding of next-generation firewalls and their application in modern network security.
• Build and enhance automation systems for efficient data collection and real-time processing to support threat analysis.
• Apply AI/ML techniques to analyze live network traffic for the detection, analysis, and mitigation of emerging security threats.
• Research and propose effective network security countermeasures to identify and neutralize various cyber-attack vectors.
• Proactively collaborate with senior security researchers to analyze adversarial tactics and contribute to the implementation of proactive security protections.

• Currently pursuing a 2-year Master’s degree or Doctorate in Computer Science, Electrical Engineering, or a related field, with a planned return to school post-internship.
• Must be authorized to work in the United States.
• Available for a May or June 2027 start date.
• Experience with ML/GenAI techniques (e.g., anomaly detection, deep learning, NLP) and tools (e.g., Tensor Flow, PyTorch, Scikit-Learn).
• Basic understanding of malware types (e.g., Spyware, Ransomware, Exploits) and common vulnerabilities (e.g., command injection, buffer overflow).
• Familiarity with key network protocols such as HTTP, SMTP, and FTP.
• Proficiency in at least one programming language, such as Python or Go.

• Currently pursuing a Doctorate (PhD) degree.
• Exposure to malware analysis and participation in Capture-the-Flag (CTF) exercises.
• Hands-on experience with traffic analysis tools (e.g., Wireshark, tcpdump) or reverse engineering tools.