Software Engineer, PhD Intern/Co-op (Machine Learning)

Facebook | Seattle, WA

Posted Date 12/19/2018
Description Facebook's mission is to give people the power to build community and bring the world closer together. At Facebook, we use machine learning across a diverse set of applications to help people discover better content more quickly, and to connect with the things that matter most to them. We strive to find ways to deliver more engaging content in News Feed, rank search results more accurately, and present the most relevant ads possible.

In order to meet the demands of our scale, we approach machine learning challenges from a system engineering standpoint, pushing the boundaries of scalable computing and tying together numerous complex platforms to build models that leverage trillions of actions. Our research and production implementations leverage many of the innovations being generated from Facebook's research in Distributed Computing, Artificial Intelligence and Databases, and run on the same hardware and network specifications that are being open sourced through the Open Compute project.

As a PhD intern at Facebook, you will help build the next generation of machine learning 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.

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 2019 start dates ONLY.


  • Develop highly scalable classifiers and tools leveraging machine learning, regression, and rules-based models

  • Suggest, collect and synthesize requirements and create effective feature roadmap

  • Code deliverables in tandem with the engineering team

  • Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)

  • Perform specific responsibilities which vary by team


  • Pursuing PhD in Computer Science, related STEM or quantitative field or relevant experience

  • Research experience in a relevant field, such as machine learning, NLP, recommendation systems, pattern recognition, signal processing, data mining, artificial intelligence, or computer vision

  • Experience in systems software or algorithms

  • Experience in C/C++, Java, Perl, or PHP

  • Experience in scripting languages such as Perl, PHP, Python, and shell scripts

  • Experience with Hadoop/Hbase/Pig or Mapreduce/Sawzall/Bigtable is a plus

  • Experience with cross-group and cross-culture collaboration

  • High levels of creativity and quick problem solving capabilities

  • Proven track record of achieving significant results

  • Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment

  • Must be currently enrolled in a full-time degree program and returning to the program after the completion of the internship/co-op

Job Category
Developer, Engineer | Internships

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