Research Intern, PhD (Systems and Infrastructure)
Facebook's mission is to connect the world. We build systems that allow more than a billion people all over the world to connect and communicate using whatever devices they have available. Our systems need to be scalable, fast, reliable, and efficient in order to provide a great user experience. As we design and build these systems, Facebook engineers encounter grand challenges across all levels of systems—from data center, hardware, storage, mobile, to distributed systems, just to name a few. Moreover, fast evolving social apps and highly dynamic social workloads present us with many unique research opportunities. The entire Facebook platform is our lab for research, development, and innovation.
As a PhD intern at Facebook, you will help build the next generation of systems behind Facebook's products, create web applications that reach millions of people, build high volume servers and be a part of a team that’s working to help connect people around the globe.
The ideal candidate will have a keen interest in relevant engineering fields, such as (but not limited to) distributed software systems, storage systems, data warehousing and analytics, database systems, operating systems, networking systems, programming languages, compilers & runtime systems, security & privacy and mobile systems.
As part of our hiring process, PhD interns are pre-assigned to a relevant team based on their expertise and interests.
This internship has a minimum twelve (12) week duration with Winter, Summer and Fall start dates.
Responsibilities
-
Build highly-scalable software systems using primarily C++ and Java.
-
Analyze the shortcomings of existing systems and propose potential design alternatives.
-
Design flexible APIs for Facebook product teams developing applications for web and mobile.
-
Build detailed monitoring to track the health of these systems and quickly triage issues.
-
Perform specific responsibilities which vary by team.
Minimum Qualifications
-
Pursuing PhD in Computer Science, related STEM or quantitative field, or relevant experience
-
Must be currently enrolled in a full time degree program and returning to the program after the completion of the internship
-
Research and/or work experience in Algorithms, Architecture, Programming Languages, Compilers, Database, Data Mining, Distributed Systems, Security, Networking, and/or Systems
-
Experience in systems software or algorithms
-
Expertise in C++, Java, Perl, PHP or Python
-
Knowledge of relational databases and SQL
-
Excellent interpersonal skills, cross-group and cross-culture collaboration
-
High levels of creativity and quick problem solving capabilities
-
Proven track record of achieving significant results
-
Preferred: Demonstrated software engineer experience via an internship, work experience, coding competitions, or PhD papers
-
Ability to obtain work authorization in the United Kingdom in 2017
For more information please click "Further Official Information" below.