Research Scientist Intern, AI Core Machine Learning (PhD) | Chercheur/chercheuse stagiaire, ayant un doctorat dans le domaine de l'apprentissage automatique de base de l'IA

Meta • Montreal, Canada

Company

Meta

Location

Montreal, Canada

Type

Full Time

Job Description

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, signal processing, information retrieval, and applied mathematics. Our interns have an opportunity to make core algorithmic advances and apply their ideas at an unprecedented scale.Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year.-------Nous nous engageons à faire progresser le domaine de l'intelligence artificielle en réalisant des avancées fondamentales dans les technologies qui permettent d'interagir avec notre monde et de le comprendre. Nous recherchons des personnes passionnées dans des domaines tels que l'apprentissage en profondeur, la vision par ordinateur, le traitement audio et vocal, le traitement du langage naturel, l'apprentissage automatique, l'apprentissage par renforcement, les statistiques informatiques, le traitement du signal, la recherche d'informations et les mathématiques appliquées. Nos stagiaires ont la possibilité de réaliser des avancées algorithmiques fondamentales et d'appliquer leurs idées à une échelle sans précédent.Nos stages durent de douze (12) à vingt-quatre (24) semaines et les dates de début varient tout au long de l'année.

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Research Scientist Intern, AI Core Machine Learning (PhD) | Chercheur/chercheuse stagiaire, ayant un doctorat dans le domaine de l'apprentissage automatique de base de l'IA Responsibilities:
  • Develop novel state-of-the-art machine learning algorithms and corresponding systems, leveraging various deep learning techniques. | DĂ©velopper de nouveaux algorithmes d'apprentissage automatique de pointe et les systèmes correspondants, en exploitant diverses techniques d'apprentissage en profondeur.
  • Analyze and improve efficiency, scalability, and stability of corresponding deployed algorithms. | Analyser et amĂ©liorer l'efficacitĂ©, l'Ă©volutivitĂ© et la stabilitĂ© des algorithmes dĂ©ployĂ©s correspondants.
  • Perform state of the art research to advance the science and technology of Machine Learning and Artificial Intelligence. | Effectuer des recherches de pointe pour faire avancer la science et la technologie de l'apprentissage automatique et de l'intelligence artificielle.
  • Devise better data-driven models for information retrieval, Multi-modal fusion, generation or media understanding (CV, NLP, Speech/ Audio). | Concevoir de meilleurs modèles basĂ©s sur les donnĂ©es pour la recherche d'informations, la fusion multimodale, la gĂ©nĂ©ration ou la comprĂ©hension des mĂ©dias (Vision par ordinateur, Traitement du langage naturel, parole/audio).
  • Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results. | Collaborer avec des chercheurs et des partenaires interfonctionnels, notamment en communiquant les plans de recherche, les progrès et les rĂ©sultats.
  • Publish research results and contribute to research that can be applied to Meta product development. | Publier les rĂ©sultats de recherche et contribuer Ă  la recherche qui peut ĂŞtre appliquĂ©e au dĂ©veloppement de produits Meta.
Minimum Qualifications:
  • Currently has or is in the process of obtaining a PhD degree in Machine Learning, Artificial Intelligence, Computer Science, Information or Multimedia Retrieval, Reinforcement Learning, Mathematics, Signal Processing, or relevant technical field. | Actuellement titulaire ou en cours d'obtention d'un doctorat en apprentissage automatique, intelligence artificielle, informatique, rĂ©cupĂ©ration d'informations ou de multimĂ©dia, apprentissage par renforcement, mathĂ©matiques, traitement du signal ou dans un domaine technique pertinent.
  • Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment. | Le candidat doit obtenir un permis de travail dans le pays d'emploi au moment de l'embauche et conserver son permis de travail pendant toute la durĂ©e de l'emploi.
  • Experience with Python, C++, C, Java or other related language. | ExpĂ©rience avec Python, C++, C, Java ou autre langage connexe.
  • Experience with deep learning frameworks such as Pytorch or Tensorflow. | ExpĂ©rience avec des frameworks d'apprentissage profond tels que Pytorch ou Tensorflow.
  • Experience building systems based on machine learning and/or deep learning methods. | ExpĂ©rience de la construction de systèmes basĂ©s sur des mĂ©thodes d'apprentissage automatique ou d'apprentissage profond.
  • Research experience with algorithms for sequential decision-making, e.g., planning, reinforcement learning, or similar. | ExpĂ©rience de recherche avec des algorithmes pour la prise de dĂ©cision sĂ©quentielle, par exemple la planification, l'apprentissage par renforcement ou similaire.
Preferred Qualifications:
  • Intent to return to degree program after the completion of the internship/co-op. | DĂ©claration d'intention de reprendre le programme d'Ă©tudes Ă  l'issue du stage ou de la pĂ©riode de travail coopĂ©ratif.
  • Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as NeurIPS, ICLR, ICML, AAAI, AISTATS, RecSys, KDD, IJCAI, CVPR, ECCV, ACL, NAACL, EACL, ICASSP, or similar. | Avoir une expĂ©rience avĂ©rĂ©e dans l'obtention de rĂ©sultats significatifs, dĂ©montrĂ©e par des subventions, des bourses, des brevets, ainsi que des publications en tant que premier auteur dans des ateliers ou des confĂ©rences de premier plan tels que NeurIPS, ICLR, ICML, AAAI, AISTATS, RecSys, KDD, IJCAI, CVPR, ECCV, ACL, NAACL, EACL, ICASSP, ou similaires.
  • Demonstrated experience and self-driven motivation in solving analytical problems using quantitative approaches. | ExpĂ©rience dĂ©montrĂ©e et motivation autonome dans la rĂ©solution de problèmes analytiques Ă  l'aide d'approches quantitatives.
  • ML/ AI research and/ or work experience in information retrieval problems, generative approaches, and/ or Natural Language Processing, CV, or Speech/ Audio. | Recherche ML/IA et/ou expĂ©rience professionnelle dans les problèmes de recherche d'informations, les approches gĂ©nĂ©ratives et/ou le traitement du langage naturel, la vision par ordinateur ou la parole/l'audio.
  • Experience building systems based on machine learning, reinforcement learning and/or deep learning methods. | ExpĂ©rience dans la crĂ©ation de systèmes basĂ©s sur des mĂ©thodes d'apprentissage automatique, d'apprentissage par renforcement et/ou d'apprentissage profond.
  • Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub). | ExpĂ©rience dĂ©montrĂ©e en tant qu'ingĂ©nieur logiciel via un stage, une expĂ©rience professionnelle, des concours de codage ou des contributions largement utilisĂ©es dans des rĂ©fĂ©rentiels open source (par exemple GitHub).
  • Experience working and communicating cross functionally in a team environment. | ExpĂ©rience du travail en collaboration multifonctionnelle dans un environnement d'Ă©quipe.
About Meta:

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.

CA$6,240/month to CA$9,946/month + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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Date Posted

11/02/2024

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