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Data Science Intern (Adversarial Machine Learning)

FireEye, Inc.

Data Science Intern (Adversarial Machine Learning)
Reston, VA Internship Paid


Job Description THE ROLE: The FireEye Data Science Intern will lead research and development into methods for hardening next-gen AV systems against adversarial evasion attacks. Specifically, the intern will combine state-of-the-art methods from transfer learning, adversarial example generation, and data poisoning attacks to develop a new method to collaboratively 'immunize' next-gen AV systems against adversarial attacks. As part of this role, the intern will be expected to read, understand, and apply techniques from recent research papers and develop a system for training malware classifier against adversarial attacks.   RESPONSIBILITIES: The intern will be expected to: - Interact with senior members of the Data Science team to identify potential avenues of research inquiry - Implement new research ideas as prototype code to demonstrate efficacy of approach - Present research results to the project team and larger data science team for peer review - Write a white paper describing the novel methods developed during the internship and present the results as a poster at the conclusion of the internship - Participate in weekly team meetings and journal clubs, providing feedback on FireEye Data Science projects




  • Experience in applying machine learning techniques to security problems, particularly malware detection
  • Understanding of attacks on machine learning models, including data poisoning and adversarial example generation
  • Strong Python development skills using standard machine learning packages
  • Experience with Linux and Jupyter notebooks
  • Strong written and verbal communication skills
  • Ability to document and explain technical concepts clearly and concisely
  • Ability to work as part of a remote team
  • Must be a continuing college or university student in good standing at an accredited institution pursuing a Master's or PhD degree

Additional Information

All your information will be kept confidential according to EEO guidelines.