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Meta is seeking Visiting Researchers through a short-term contract to join Meta AI.About Meta AI: 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, and computational statistics.This position is short-term employment for PhD students enrolled at the University of Washington, Carnegie Mellon University, University of California, Berkeley, or New York University’s Courant Institute of Mathematical Sciences (CIMS) or Center for Data Science (CDS). Students will work in collaboration with Meta and their university for the duration of the 1-2 year program. Students will be expected to work onsite at a Meta office near their university. The AI Mentorship Program will begin fall 2025. Participants will work part-time during the academic school year and full-time over the summer break.Meta est à la recherche de chercheurs invités dans le cadre d'un contrat à court terme en vue de rejoindre Meta AI.À propos de Meta AI: Nous sommes déterminés à faire progresser le domaine de l'intelligence artificielle en réalisant des avancées fondamentales dans les méthodes scientifiques et technologies qui permettent d'interagir avec notre monde et de le comprendre. Nous recherchons des personnes passionnées par des domaines tels que l'apprentissage profond, la vision par ordinateur, le traitement audio et vocal, le traitement du langage naturel, l'apprentissage automatique et par renforcement, et les statistiques informatiques.Ce poste est un emploi à court terme pour les étudiants en doctorat inscrits à l’Université de Washington, à l’Université Carnegie Mellon, à l’Université de Californie à Berkeley ou au Courant Institute of Mathematical Sciences (CIMS) ou au Center for Data Science (CDS) de l’Université de New York. Les étudiants travailleront en collaboration avec Meta et leur université pendant la durée du programme qui s'étale sur un à deux ans. Les étudiants seront amenés à travailler sur place, dans un bureau Meta proche de leur université. Le programme de mentorat en IA débutera à l'automne 2025. Les participants travailleront à temps partiel durant l'année scolaire et à temps plein durant les vacances d'été.
**Visiting Researcher, AI Mentorship Program (PhD) | Chercheur invité, programme de mentorat en IA (PhD) Responsibilities**:
- Perform research to advance the science and technology of intelligent systems. | Effectuer des recherches afin de faire progresser la science et la technologie des systèmes intelligents.
- Perform research that improves computational understanding and representation of data. | Effectuer des recherches qui améliorent la compréhension informatique et la représentation des données.
- Devise data-driven models of human behavior. | Concevoir des modèles de comportement humain basés sur des données.
- Influence progress of relevant research communities by producing publications. | Influencer les progrès des groupes de recherche concernés en produisant des publications.
- Collaborate and increase productivity on existing research projects. | Collaborer et augmenter la productivité sur les projets de recherche existants.
**Minimum Qualifications**:
- Currently has, or is in the process of obtaining, a PhD degree in a technical field such as Computer Science from the University of Washington, Carnegie Mellon University, University of California, Berkeley, or New York University’s Courant Institute of Mathematical Sciences (CIMS) or Center for Data Science (CDS). | Être titulaire ou en cours d'obtention d'un doctorat dans un domaine technique tel que l'informatique, décerné par l'université de Washington, l'université Carnegie Mellon, l'université de Californie à Berkeley, du Courant Institute of Mathematical Sciences (CIMS) ou du Center for Data Science (CDS) de l'université de New York.
- Research experience in Computer Vision, Machine Learning, Natural Language Processing, Optimization, Speech, Safety & Alignment, Embodied AI, Recommendation Systems, Large Language Models, RAG, Graph/Sequence learning, User/Content Understanding, or Distributed Training. | Expérience de recherche en vision artificielle, apprentissage automatique, traitement du langage naturel, optimisation, parole, sécurité et alignement, intelligence artificielle intégrée, systèmes de recommandation, grands modèles de langage, RAG, apprentissage par graphe/séquence, compréhension de l'utilisateur/du contenu ou de la formation distribuée.
- Experience with Python, Lua, C++, C, C# and/or Java. | Expérience avec Python, Lua, C++, C, C# et/ou Java.
- Experience with deep learning frameworks such as PyTorch. | Expérience avec des cadre
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