Research Scientist Intern, AI Core Machine Learning (PhD)(Montreal) | Chercheur stagiaire, apprentissage automatique de l'IA (doctorat) (Montréal)

3 Weeks ago • Upto 1 Years • Artificial Intelligence

About the job

Job Description

Meta's Research Scientist Intern position in Montreal focuses on advancing AI through core machine learning. Interns will develop cutting-edge algorithms and systems using deep learning techniques, analyzing and improving aspects like efficiency, scalability, and fairness. Responsibilities involve conducting state-of-the-art research, collaborating with researchers, and publishing results. The internship lasts 12-24 weeks, with various start dates. The role demands expertise in deep learning, computer vision, NLP, or related fields and experience with frameworks like PyTorch or TensorFlow. Successful candidates will have a proven track record of research achievements.
Must have:
  • Ph.D. in relevant field
  • Experience with Python/C++
  • Deep learning framework experience (PyTorch/TensorFlow)
  • Develop novel algorithms
  • Analyze and improve algorithms and systems
Good to have:
  • Publications at top conferences (NeurIPS, ICLR, etc.)
  • Experience with large-scale machine learning systems
  • Strong communication skills
  • Software engineering experience
  • Experience working in teams
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Meta is 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, optimization, natural language processing, machine learning, reinforcement learning, computational statistics, applied mathematics and security/privacy. Our interns have an opportunity to make core algorithmic advances and apply their ideas at an unprecedented scale. Our internships are twelve (12) to sixteen (16), or twenty-four (24) weeks long and we have various start dates throughout the year. ------- Meta s'engage à promouvoir le domaine de l'intelligence artificielle en réalisant des avancées fondamentales dans les technologies permettant d'interagir avec notre monde et de le comprendre. Nous sommes en quête de personnes passionnées par des domaines tels que l'apprentissage profond, la vision par ordinateur, l'optimisation, le traitement automatique du langage naturel, l'apprentissage automatique, l'apprentissage par renforcement, les statistiques informatiques, les mathématiques appliquées et la sécurité/la confidentialité. Nos stagiaires ont l’occasion de réaliser des avancées algorithmiques fondamentales et de concrétiser leurs idées à une échelle sans précédent. Nos stagiaires ont l’occasion de réaliser des avancées algorithmiques fondamentales et de concrétiser leurs idées à une échelle sans précédent.
Research Scientist Intern, AI Core Machine Learning (PhD)(Montreal) | Chercheur stagiaire, apprentissage automatique de l'IA (doctorat) (Montréal) Responsibilities
  • Develop novel state-of-the-art algorithms and corresponding systems, leveraging various deep learning techniques | Développer de nouveaux algorithmes à la fine pointe de la technologie et des systèmes correspondants, en tirant parti de diverses techniques d'apprentissage profond.
  • Analyze and improve various aspects of the corresponding algorithms and systems, including efficiency, scalability, stability, fairness, security, and privacy | Analyser et améliorer divers aspects des algorithmes et systèmes correspondants, notamment l'efficacité, l'extensibilité, la stabilité, l'équité, la sécurité et la confidentialité.
  • 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.
  • Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results | Collaborer avec les chercheurs/chercheuses et les partenaires interfonctionnels, notamment en communiquant les plans de recherche, les progrès et les résultats.
  • Publish research results and contribute to research that can be applied to Meta product development | Publier les résultats des recherches et contribuer à la recherche qui peut être appliquée au développement des produits Meta
Minimum Qualifications
  • Currently has or is in the process of obtaining a Ph.D. degree in Computer Science, Machine Learning, Artificial Intelligence, or relevant technical field | Est actuellement titulaire ou est en voie d'obtenir un doctorat en informatique, en apprentissage automatique, en intelligence artificielle 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 | Doit obtenir un permis de travail dans le pays où se trouve l’emploi à la date d’embauche et maintenir ce permis pendant la durée de l’emploi.
  • Experience with Python, C++, C, Java or other related languages | Expérience avec Python, C++, C, Java ou d'autres langages apparentés
  • Experience with deep learning frameworks such as Pytorch or Tensorflow | Expérience avec de cadres d'apprentissage profond tels que Pytorch ou Tensorflow
Preferred Qualifications
  • Intent to return to degree program after the completion of the internship/co-op | Avoir l'intention de retourner au programme diplômant après l'achèvement du stage/coop.
  • Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops or conferences such as NeurIPS, ICLR, AAAI, RecSys, KDD, IJCAI, CVPR, ECCV, ACL, NAACL, EACL, ICASSP, CCS, IEEE S&P, MLSys, or similar | Avoir une expérience avérée dans l'obtention de résultats significatifs, démontrée par des subventions, des bourses, des brevets, ainsi que des publications dans des ateliers ou des conférences de premier plan tels que NeurIPS, ICLR, AAAI, RecSys, KDD, IJCAI, CVPR, ECCV, ACL, NAACL, EACL, ICASSP, CCS, IEEE S&P, MLSys, ou similaires.
  • Demonstrated experience and self-driven motivation in solving analytical problems using quantitative approaches | Avoir une expérience avérée et une motivation personnelle dans la résolution de problèmes analytiques à l'aide d'approches quantitatives.
  • Experience building large-scale machine learning systems and training with large datasets | Expérience en construction de systèmes d'apprentissage automatique à grande échelle et de l'entraînement avec de grands ensembles de données
  • Experience communicating complex research in a clear, precise, and actionable manner | Expérience en communication de recherches complexes d'une manière claire, précise et exploitable
  • Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub) | Expérience avérée en tant qu'ingénieur/ingénieure logiciel acquise grâce à un stage, une expérience professionnelle, des concours de codage ou des contributions largement utilisées dans des dépôts de sources ouvertes (par exemple, GitHub).
  • Experience working and communicating cross functionally in a team environment | Expérience de travail et de communication inter-fonctionnels dans un environnement d'équipe
For those who live in or expect to work from California if hired for this position, please click for additional information.
Locations
Data Center
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.

Meta développe des technologies qui aident les gens à se connecter, à trouver des communautés et à développer des entreprises. Lorsque Facebook a été lancé en 2004, il a changé la façon dont les gens se connectent. Des applications comme Messenger, Instagram et WhatsApp ont permis à des milliards de personnes dans le monde de s'émanciper. Aujourd'hui, Meta dépasse les écrans 2D pour se tourner vers des expériences immersives comme la réalité augmentée et virtuelle, afin de contribuer à la prochaine évolution de la technologie sociale. Les personnes qui choisissent de bâtir leur carrière en œuvrant avec nous chez Meta contribuent à façonner un avenir qui nous mènera au-delà de ce que la connexion numérique rend possible aujourd'hui — au-delà des contraintes des écrans, des limites de la distance, et même des règles de la physique.

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 at Meta.


Equal Employment Opportunity and Affirmative Action
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice .

Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to .

Meta s'engage à fournir un soutien raisonnable (appelé accommodements) à travers nos processus de recrutement pour les candidats handicapés, souffrant de difficultés de longue durée, de problèmes de santé mentale ou neurodivergents et aux candidats ayant des croyances religieuses sincères ou nécessitant un soutien lié à la grossesse. Si vous avez besoin d'aide, veuillez contacter .
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About The Company

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.


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