Конкурсы

15 июня 2017

Facebook is seeking Research Interns to join Facebook AI Research (FAIR). We are committed to advancing the field of artificial intelligence by making fundamental advances in technologies to help interact with and understand our world. We are seeking individuals passionate in areas such as deep learning, computer vision, audio and speech processing, natural language processing, machine learning, reinforcement learning, computational statistics, and applied mathematics. Our interns have an opportunity to make core algorithmic advances and apply their ideas at an unprecedented scale. Many of our interns publish at top tier conferences such as NIPS, ICML, ICLR, CVPR, ICCV, ECCV, and ACL.

This internship has a minimum 12-week duration with summer, fall, and winter start dates. We have openings in our Menlo Park, New York, Seattle, Paris, and Tel Aviv 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 above; outstanding masters and bachelors students may also be considered. To apply please use the "apply" button (here) below and fill out the following form Facebook AI Research Internships application form. **Your application will not be complete until you fill out both that form and the application.**

To learn more about our research visit https://research.facebook.com.

Responsibilities

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, and/or
Contribute research that can be applied to Facebook product development

Minimum Qualifications

Pursuing a degree (PhD, Masters, or Bachelors with relevant research experience) in Computer Science or related field
Publications or experience in machine learning, AI, computer vision, optimization, computer science, statistics, applied mathematics, or data science
Experience solving analytical problems using quantitative approaches
Ability to manipulate and analyze complex, large scale, high-dimensionality data from varying sources
Experience in utilizing theoretical and empirical research to solve problems
Ability to communicate complex research in a clear, precise, and actionable manner
Knowledge in C, C++, Python, Lua or other related programming language
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

Preferred Qualifications