Data Science Intern - Summer 2022

Job Description

TheMandiantData Science teamdevelops innovative, data-driven solutions totoday’smost challengingcybersecurity problems. By leveraging data derived from our company’s unparalleled view of the threat landscape, the team provides solutions with significant impact for our customers and thebroadercybersecurity industry.

At the same time,we workoncutting-edgeresearchat the intersection of security and machine learning.Team members have published papers and served onprogramcommitteesfor IEEE S&P, USENIX Security, CCS, ICML, and NeurIPS to name a few.  We actively encourage research projects that solve real-world security problems in new and exciting ways.

Our team is looking for talented interns to join us in the Reston, VA office.  We work on a variety of challenging problems across the attack life cycle, ranging from the detection of malware, fileless attacks, and exfiltration, tothreat intelligenceand social media analysis. During your12-weekinternshipperiod, you will be paired with a mentor to developaproof-of-conceptmachine learning systemleading to a scientific publication and/or patent application.  Potential projects include:

• NLPanddeep learningtechniques tocode analysis problems, such as exploit detection

• Knowledge graph embeddingsto characterize relationships among threat actors

• Weak supervisionmethodsfor automated threat hunting

• Exploringadversarial machine learningattacks against cybersecurity models

The ideal candidate for the position will be a self-motivatedgraduate studentwith the ability to both understand deeply complex technical concepts and to communicate those concepts to adiverseteam of machine learning and computer security experts, inbothwritten and verbal form.  The candidate should have previous experience working on advanced research projects with typical tools used in the academic and industrial research community, such as LaTeX and GitHub.  The candidate will gain valuable exposure to newmachine learningtechnologies,an exciting array of real-world data, and interesting new problems, but also build their C.V. with tangible outcomes, like peer-reviewed publications and presentations.

Qualifications

• Current PhD orMastersstudent involved in ongoing research at the intersection of machine learning and computer security.
• Strong computational background and programming skills, particularly with Python .
• Strong development skills using standard machine learning packages, such as scikit-learn,PyTorch,Tensorflow, and Keras.
• Experience with Linux andJupyternotebooks .

• 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 ;

Additional Information

At FireEye we are committed to our #OneTeam approach combining diversity, collaboration, and excellence. All qualified applicants will receive consideration for employment without regard to race, sex, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability.