Lumen-posted 2 months ago
$31 - $46/Yr
Full-time • Intern
5,001-10,000 employees

Lumen connects the world. We are igniting business growth by connecting people, data and applications – quickly, securely, and effortlessly. Together, we are building a culture and company from the people up – committed to teamwork, trust and transparency. People power progress. We’re looking for top-tier talent and offer the flexibility you need to thrive and deliver lasting impact. Join us as we digitally connect the world and shape the future. Lumen offers students a unique opportunity to gain hands-on experience in digital innovation through a 10-week summer internship. Interns learn, network, and advance their careers while helping drive technology forward - embark on your exciting journey with Lumen today. Come join Lumen's fully immersive, 10-week summer internship program. Our interns demonstrate curiosity, innovation, and a passion for advancing technology. We believe that empowering our people and helping them reach their full potential is essential for the long-term success of both Lumen and our customers.

  • Support research and testing efforts related to AI/ML security threats such as adversarial attacks, model poisoning, prompt injection, and data leakage.
  • Assist in developing and documenting methodologies for AI red-teaming and secure AI lifecycle practices.
  • Contribute to the evaluation of AI/ML systems for security vulnerabilities and bias, supporting defensive and mitigation activities.
  • Analyze datasets and model outputs for potential integrity and confidentiality concerns.
  • Help maintain lab environments and datasets for ongoing AI adversarial testing.
  • Participate in discussions and reviews related to responsible AI, fairness, and ethical implications of security testing.
  • Prepare documentation, findings, and presentations for internal and external audiences.
  • Collaborate with senior analysts, engineers, and researchers in the Cyber Defense Services team.
  • Enrolled at a 4-year accredited college or university, rising senior level education status at the start of the internship.
  • Graduating August 2026 – May 2028.
  • Coursework or research experience in machine learning, data analytics, or AI fundamentals.
  • Exposure to Python, R, or Julia and comfort with scripting for data analysis or ML experimentation.
  • Familiarity with basic cybersecurity principles such as threat modeling, secure coding, and vulnerability scanning.
  • Demonstrated curiosity in AI/ML security, including adversarial attacks, model poisoning, prompt injection, and data leakage.
  • Awareness of responsible AI frameworks (NIST AI RMF, Google SAIF).
  • Knowledge of large language models (LLMs), generative AI, and agentic AI architectures.
  • Interest in how attackers exploit AI systems and how defenders detect, prevent, or mitigate these risks.
  • Experience or exposure to ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
  • Familiarity with AI security tools or datasets (e.g., CleverHans, Adversarial Robustness Toolbox, red-teaming labs).
  • Comfortable using Git for version control and working within cloud environments (AWS, Azure, or GCP).
  • Ability to use standard cybersecurity tools (Nmap, Wireshark, Metasploit) and an interest in adapting them to AI-focused use cases.
  • Hourly Based Pay Range: Min: $31/hour, Max: $46/hour.
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