Facebook Software Engineer Intern, Machine Learning (PhD) in Boston, Massachusetts
Facebook's mission is to give people the power to build community and bring the world closer together. Through our family of apps and services, we're building a different kind of company that connects billions of people around the world, gives them ways to share what matters most to them, and helps bring people closer together. Whether we're creating new products or helping a small business expand its reach, people at Facebook are builders at heart. Our global teams are constantly iterating, solving problems, and working together to empower people around the world to build community and connect in meaningful ways. Together, we can help people build stronger communities - we're just getting started.
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 2020 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
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
Intent to return to degree-program after the completion of the internship/co-op
Demonstrated software engineer experience via an internship, work experience, coding competitions, or PhD papers
Equal Opportunity: Facebook is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Facebook is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at email@example.com.