Security Data Science PhD Internship - Summer 2017

Role Description 

Dropbox abuse prevention team is looking for PhD-level interns for summer 2017 to work on security data analysis projects.
 
The team is responsible for detecting and mitigating any malicious activity against Dropbox products. Internship projects will focus on designing algorithms and machine learning models to identify abnormal or malicious usage of Dropbox. You will get access to a unique data set of real-time events by 600+M Dropbox users and gain visibility into attack attempts by actual hacker groups.
 
The internships are based out of San Francisco CA.
 
Applications are considered on a first come-first served basis and the last day to apply is Wednesday, February 15th.
 

Requirements

  • Completed at least 2 years of a CS or EE PhD program by summer 2017
  • Interest/passion for security work
  • Strong data analysis skills, capable of writing complex SQL/Hive queries
  • Machine learning skills, capable of training and evaluating machine learning models
  • Basic programming skills (understand python code and make minimal changes)
  • Please note that candidates who require a J-1 visa must also eligible for an alternative visa option when they eventually will be taking a full-time role. Alternative visa options are limited to TN visas (Canadian and Mexican citizens), E-3 visas (Australian citizens), or H-1B1 visas (Singaporean and Chilean citizens). An H-1B is not a viable visa alternative for consideration in this role. If you are not eligible for any of the alternative visas listed for full-time roles, we will not be able to move forward in the interview process

Below please include a personal email address rather than a school email address so that Dropbox may communicate effectively with you.


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