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Intern - AI / ML Cybersecurity Advisory - Summer 2026

Intern - AI / ML Cybersecurity Advisory - Summer 2026

Lumen TechnologiesMonroe, LA, United States
1 day ago
Job type
  • Full-time
Job description

About Lumen

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.

About Lumen's Internship Program

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

Hear from previous interns on the impact this program has had on their career. CLICK HERE!

The Role

Intern must be available to work full time (40 hours / week) during the 10-week program

  • Program Dates : May 29 - August 7, 2026.
  • Location : This position is fully remote / work from home in the continental US.
  • Work Authorization : US Work Authorization required for this role.

Program eligibility is contingent on the candidate's commitment to the entire 10-week program. No exceptions will be made

The AI / ML Cybersecurity Intern will assist the Black Lotus Security Group in researching, exploring, and securing emerging AI systems and technologies. This role supports the Cyber Defense Services team in research, testing, and documentation of AI / ML security risks, as well as contributing to the development of defensive countermeasures aligned with industry frameworks such as the NIST AI RMF and Google SAIF.

Interns will gain hands-on research and experience at the intersection of cybersecurity, artificial intelligence, and machine learning.

The Main Responsibilities

  • 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.
  • What We Look For in a Candidate

    Require d qualifications

  • 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
  • Preferred fields include butnot limited to : Cybersecurity or Information Security
  • Proficiency and understanding of :

  • 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
  • AI / ML Specific Interests :

  • 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
  • Tools and Hands-On Skill :

  • 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
  • Mindset and Soft Skills

  • Research-driven curiosity-naturally asks, "how could this be broken?" when learning about systems.
  • Willingness to experiment and iterate quickly in lab or sandbox environments.
  • Strong written and verbal communication skills for presenting technical findings.
  • Collaborative attitude and openness to continuous learning.
  • Awareness of ethical and privacy considerations in AI security research.
  • Compensation

    Internship compensation ranges depend on each individual's level of education, geographic location, and experience / qualifications aligned to the role.

    Hourly Based Pay Range :

    Min : $ 31 / hour

    Max : $ 46 / hour

    What to Expect Next

    Once you complete and submit your application, you will be invited to take part in a virtual assessment. This on-demand assessment allows Lumen to better understand how your skills and experiences align to the internship role. You will receive a separate email invitation (please check your spam folder) within 6 hours of applying. To remain eligible for the summer internship program, be sure to finish the video interview within 5 business days of your application.

    Application & Interview Timeline

  • October - First Round Interviews with top, qualified candidate
  • November - Interview panel with work team
  • December - All Summer 2026offers will be extended by end of month
  • Requisition # : 340231

    Background Screening

    If you are selected for a position, there will be a background screen, which may include checks for criminal records and / or motor vehicle reports and / or drug screening, depending on the position requirements. For more information on these checks, please refer to the Post Offer section of our FAQ page . Job-related concerns identified during the background screening may disqualify you from the new position or your current role. Background results will be evaluated on a case-by-case basis.

    Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

    Equal Employment Opportunities

    We are committed to providing equal employment opportunities to all persons regardless of race, color, ancestry, citizenship, national origin, religion, veteran status, disability, genetic characteristic or information, age, gender, sexual orientation, gender identity, gender expression, marital status, family status, pregnancy, or other legally protected status (collectively, "protected statuses"). We do not tolerate unlawful discrimination in any employment decisions, including recruiting, hiring, compensation, promotion, benefits, discipline, termination, job assignments or training.

    Disclaimer

    The job responsibilities described above indicate the general nature and level of work performed by employees within this classification. It is not intended to include a comprehensive inventory of all duties and responsibilities for this job. Job duties and responsibilities are subject to change based on evolving business needs and conditions.

    In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

    Please be advised that Lumen does not require any form of payment from job applicants during the recruitment process. All legitimate job openings will be posted on our official website or communicated through official company email addresses. If you encounter any job offers that request payment in exchange for employment at Lumen, they are not for employment with us, but may relate to another company with a similar name.

    Application Deadline

    10 / 22 / 2025

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    Intern Summer 2026 • Monroe, LA, United States

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