Job Description

The FireEye Data Science team is made up of experienced researchers working at the intersection of security and machine learning.  Our work combines cutting-edge research in the academic space with real-world impact for our customers.  Team members have published papers and served on PCs for IEEE S&P, USENIX Security, ACM CCS, ICML, and NeurIPS to name a few.  At the same time, we actively encourage research projects that solve real-world security problems in new and exciting ways, and our work is used to secure millions of customer devices.

Our team is looking for talented interns to join us in the Reston, VA office.  We work on a variety of challenging research problems across the entire attack life cycle, ranging from the detection of malware, fileless attacks, and exfiltration, to identification of disinformation campaigns in social media and automated threat intelligence analysis.  The internship, which involves working closely with a mentor, will cover a 12-week period and is expected to culminate in a proof of concept implementation leading to a scientific publication and/or patent application.

Responsibilities:

• In past years, research interns have worked on projects including adversarial attacks on machine learning, generating synthetic social media content to study and detect disinformation campaigns, and using metric learning methods to quantify similarity across binaries.  These projects have resulted in presentations at USENIX ScAINet, BlackHat USA, and the AAAI Symposium, along with papers to several peer-reviewed venues.

• The ideal candidate for the position will be a self-motivated individual with the ability to both understand deeply complex technical concepts and to communicate those concepts to a broad team of machine learning and computer security experts, both in written 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 these new technologies and problem areas, but also build their C.V. with tangible outcomes, like peer-reviewed publications and presentations.

Qualifications

Requirements:

• The candidate for this FireEye Data Science project is a PhD or Masters student involved in ongoing research at the intersection of machine learning and computer security. 
• The candidate will be expected to make progress on an ambitious research agenda utilizing cutting-edge machine learning methods. 
• He or she should have a strong computational background and programming skills, as well as excellent communication skills.

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. Requests for accommodation due to disability can be sent directly to HR-Accommodations@FireEye.com.