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.
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
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
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
