Research Intern (AI) London
Detail de l'annonce :
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 scientific methods and
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, ACL, NAACL,
and EMNLP. This internship has a minimum 12-week duration beginning in
January. 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 students may
also be considered, as will B.S. candidates intending to enroll in a
graduate program at the conclusion of the internship. To learn more
about our research, visit: https://research.fb.com/
RESPONSIBILITIES: Perform research to advance the science and
technology of intelligent systems.Perform research that improves
understanding and representation of the semantics of data (images,
video, text, audio, and other modalities).Devise data-driven models of
human behaviour.Influence progress of relevant research communities by
producing publications.Collaborate and increase productivity on
existing research projects
MINIMUM QUALIFICATIONS: Currently has, or is in the process of
obtaining, a(n) Masters / PhD degree.Publications or experience in
fields related to in machine learning, AI, computer vision, natural
language processing, computational neuroscience, optimisation,
computer science, statistics, applied mathematics, or data
science.Experience solving analytical problems using quantitative
approaches.Ability to manipulate and analyse large scale,
high-dimensionality data from varying sourcesExperience in utilising
theoretical and empirical research to solve problems.Knowledge in a
programming language.Must obtain work authorization in country of
employment at the time of hire, and maintain ongoing work
authorization during employment.
PREFERRED QUALIFICATIONS: Currently has, or is in the process of
obtaining, a(n) Masters / PhD degree.Publications or experience in
fields related to in machine learning, AI, computer vision, natural
language processing, computational neuroscience, optimisation,
computer science, statistics, applied mathematics, or data
science.Experience solving analytical problems using quantitative
approaches.Ability to manipulate and analyse large scale,
high-dimensionality data from varying sourcesExperience in utilising
theoretical and empirical research to solve problems.Knowledge in a
programming language.Must obtain work authorization in country of
employment at the time of hire, and maintain ongoing work
authorization during employment.
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