Facebook Research Intern (Applied Machine Learning) in Menlo Park, California
Facebook was built to help people connect and share, and over the last decade our tools have played a critical part in changing how people around the world communicate with one another. With over a billion people using the service and more than fifty offices around the globe, a career at Facebook offers countless ways to make an impact in a fast growing organization.
Facebook is seeking Research Interns to join our Applied Machine Learning teams in developing next generation products and platforms doing research and engineering at scale. We are an applied research organization that brings the best of Artificial Intelligence technology to Facebook products. AML’s efforts are to push the bar in three directions: build reliable platforms that scale to thousands of engineers, push state of the art in AI for maximum product impact and build new experiences using AI. AML focuses on areas like Machine Learning, Computer Vision, Computational Photography, Speech Recognition, Natural Language Understanding, Augmented Reality and more.
This internship has a minimum 12 week duration with summer, fall, and winter start dates. We have openings in our Menlo Park and Seattle offices. Internships will be awarded on a rolling basis and candidates are encouraged to apply early. Applicants are expected to be pursuing a PhD in one of the areas listed; outstanding masters and bachelors students may also be considered.
To learn more about our research visit https://research.facebook.com/machinelearning/ (https://research.facebook.com/machinelearning/?_mref=messagebubble)>.
Perform research to advance the science and technology of intelligent machines
Perform research that enables learning the semantics of data (images, video, text, audio, and other modalities)
Devise better data-driven models of human behavior
Contribute research that can be applied to Facebook product development
Pursuing a degree (PhD or Masters) in Computer Science or related field
Extensive experience solving analytical problems using quantitative approaches
Comfort manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources
A strong passion for theoretical and empirical research and for answering hard questions with research
Ability to communicate complex research in a clear, precise, and actionable manner
Fluency in C++, Java or other related language
Experience in machine learning and optimization
Experience building systems based on machine learning and/or deep learning methods
Must be currently enrolled in a full-time degree program and returning to the program after the completion of the internship
Ability to obtain and maintain work authorization in the country of employment in 2017
- Pursuing a degree a PhD in Computer Science of related field
Equal Opportunity: As part of our dedication to the diversity of our workforce, Facebook is committed to Equal Employment Opportunity without regard for race, color, national origin, ethnicity, gender, protected veteran status, disability, sexual orientation, gender identity, or religion. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at firstname.lastname@example.org or you may call us at 1+650-308-7837.