Security Research Intern (Cybersecurity)

Location: On-site in Sunnyvale, California, United States

Salary: $37 per hour

Company

hirify.global develops breach containment and Zero Trust cybersecurity solutions that use AI-powered security analysis to protect hybrid multi-cloud environments.

What you will do

• Research emerging threats, vulnerabilities, attacker campaigns, and evolving adversary techniques.
• Analyze threat intelligence, including malicious IP addresses, domains, attacker infrastructure, adversary behaviors, and network activity related to command-and-control.
• Analyze security and network telemetry to identify patterns that distinguish normal from suspicious activity.
• Explore machine learning and statistical techniques for anomaly detection, behavioral analysis, clustering, and classification; experiment with models and evaluate effectiveness, limitations, and false positives.
• Build and curate structured datasets connecting threats, campaigns, indicators, vulnerabilities, and attacker techniques, and combine threat intelligence with telemetry to develop detection ideas.
• Collaborate with threat researchers, data scientists, engineers, and product teams; communicate findings and present research and key learnings at the end of the internship.

Requirements

• Currently enrolled full-time in a Bachelor's or Master's degree program in Computer Science, Cybersecurity, Data Science, or a related technical field, with expected graduation in Winter 2027 or Spring 2028.
• Strong interest in cybersecurity, security research, threat intelligence, or machine learning.
• Exposure to threat intelligence concepts, including IOCs, attacker campaigns, malware, vulnerabilities, or MITRE ATT&CK.
• Basic understanding of networking concepts and protocols such as TCP/IP, DNS, and HTTP/HTTPS.
• Familiarity with Python, SQL/KQL, notebooks, or similar programming and data-analysis tools, with an interest in analyzing security and network telemetry.
• Ability to research technical topics and clearly communicate findings.
• Curiosity about how attackers operate and how their behaviors can be detected.

Nice to have

• Experience working with network or security telemetry, logs, or large datasets.
• Familiarity with Python data-analysis tools such as pandas or NumPy.
• Basic understanding of machine learning or statistical techniques, such as classification, clustering, or anomaly detection.
• Experience experimenting with ML libraries such as scikit-learn, PyTorch, or similar frameworks.
• Interest in applying machine learning to cybersecurity problems such as behavioral analysis or threat detection.
• Participation in CTFs, security competitions, academic research, open-source projects, or personal security projects.

Culture & Benefits

• Hands-on experience in security research, threat intelligence, adversary analysis, network security, and threat detection.
• Opportunity to work alongside experienced threat researchers in a real-world cybersecurity organization.
• Exposure to machine learning and data-driven security techniques.
• Benefits may include medical, dental, and vision coverage; health and dependent savings accounts; life and disability programs; paid parental leave; wellness programs; retirement savings; equity opportunities; paid time off; paid holidays; and incentive programs, depending on location and eligibility.
• Inclusive environment valuing diverse backgrounds, experiences, viewpoints, and contributions.