Job Description

Your Career

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.

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Our Internship Program

Our program provides mentorship, hands-on experience, and the opportunity to work on impactful projects. You’ll connect with other interns, recent graduates, and seasoned professionals, thriving in an environment that values curiosity, collaboration, and problem-solving.

• 1:1 mentorship
• Fun and engaging events that inspire your intellectual curiosity
• Opportunities to expand your knowledge and work on challenging projects
• Connections to other interns, recent grads, and employees across the company as well as our leaders

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Your Impact

• Learn about next-generation firewalls and their role in network security
• Build and improve automation systems for data collection and processing
• Apply AI/ML methods to analyze real network traffic to detect, analyze, and mitigate threats
• Research network security countermeasures for identifying and mitigating cyber attacks
• Collaborate with security researchers to analyze adversarial activities and implement proactive protections

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Qualifications

Your Experience

• To be eligible, you must be a current student pursuing a doctorate (preferred) or a 2-year master’s degree in a related field with plans to return to school in the fall - Authorization to work in the United States is required - May or June 2026 start date
• Basic understanding of malware types (e.g., Spyware, Ransomware, Exploits) and popular vulnerabilities (e.g., command injection, buffer overflow)
• Familiarity with key network protocols (e.g., HTTP, SMTP, FTP)
• Proficiency in at least one programming language such as Python or Go
• Experience with ML/GenAI techniques and tools is a plus, such as
  • Techniques - Anomaly detection, deep learning, supervised/unsupervised learning, and natural language processing (NLP)
  • Tools - TensorFlow, PyTorch, Scikit-Learn, Pandas, NumPy, Keras, NLTK, SpaCy, or Hugging Face Transformers
• Exposure to malware analysis and Capture-the-Flag (CTF) exercises is a plus
• Experience with traffic analysis tools (e.g., Wireshark, tcpdump) and reverse engineering tools is a plus

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