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    Chercheur - apprentissage automatique - microsoft research / researcher - machine learning - mi - Montréal, QC, Canada - Microsoft Canada

    Microsoft Canada
    Microsoft Canada Montréal, QC, Canada

    2 weeks ago

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    Description

    ENGLISH TEXT TO FOLLOW FRENCH TEXT
    Nous cherchons à embaucher un chercheur en apprentissage automatique chez Microsoft Research (MSR) Montréal.

    Les candidats doivent avoir le désir et la capacité d'élaborer et de poursuivre un programme de recherche indépendant dans le but d'approfondir notre compréhension des méthodes d'apprentissage profond.

    L'équipe d'apprentissage automatique du laboratoire MicrosoftResearch de Montréal conçoit des méthodes théoriques de pointe pour élargir le potentiel d'application des systèmes d'apprentissage automatique, dans le but de fournir une compréhension approfondie des principes fondamentaux sous-jacents aux algorithmes actuels et futurs, et d'améliorer de vrais produits au moyen de l'apprentissage automatique.

    L'équipe se concentre sur les pistes de recherche suivantes:

    Concevoir des approches efficaces et modulaires pour développer des modèles faciles à combiner au moyen de nouvelles méthodes pour effectuer des tâches jusqu'ici inaccessibles dans les environnements d'apprentissage sans exemple ou avec peu d'exemples.


    Publication récente pertinente :
    ''

    Deep Language Networks:
    Joint Prompt Training of Stacked LLMs using Variational Inference '' (NeurIPS 2023)

    Avoir une compréhension fonctionnelle des outils d'optimisation courants, en ayant une compréhension théorique de la façon dont les optimiseurs et les ensembles de données influencent la fonction apprise plutôt que ses paramètres.


    Publications pertinentes récentes :
    ''Asking for Knowledge (AFK): Training RL Agents to Query External Knowledge Using Language '' (ICML 2022) et ''Augmenting Autotelic Agents with Large Language Models'' (CoLLAs2023)

    Nous recherchons un candidat pour améliorer ou compléter ces thèmes de recherche, en dirigeant son propre programme de recherche.

    Le laboratoire de Microsoft Research de Montréal offre un environnement stimulant et favorable à la recherche de pointe, théorique et appliquée.

    Le laboratoire offre également un accès à une riche diversité de sources de données, petites et grandes, une politique ouverte de publications ainsi que des relations étroites avec des établissements universitaires de la communauté d'intelligence artificielle montréalaise et du monde entier.

    Pour en savoir plus sur les membres du laboratoire et sur leurs intérêts, consultez la page Web du laboratoire Microsoft de Montréal.

    La mission de Microsoft est de permettre à chaque personne et à chaque organisation de la planète d'en accomplir davantage.

    Chaque jour, nous mettons en pratique nos valeurs de respect, d'intégrité et de responsabilité afin de créer une culture d'inclusion où chacun peut s'épanouir au travail et au-delà.

    Conformément aux valeurs de Microsoft, nous nous engageons à cultiver un environnement de travail inclusif pour tous les employés afin de produire une incidence positive sur notre culture au quotidien.

    We seek to hire a Researcher, Machine Learning at Microsoft Research (MSR) Montréal.

    Applicants need to have the passion and ability to craft and pursue an independent research program to further our understanding of deep learning methods.

    Whether it is about identifying failure modes, understanding robustness, training dynamics or ability to transfer knowledge, we are looking to push the boundaries of our understanding.

    The Microsoft Research Montréal Lab's Machine Learning (ML) team develops state-of-the-art theoretically grounded methods to broaden the applicability of ML systems, with the goals of: providing a deeper understanding of the core principles underlying current and future algorithms and improving real products through machine learning.

    The team is focused on the following research directions:

    Understanding the dynamics of large language models and learning how to build more complex systems by coupling multiple LLMs together.


    Recent relevant publication:

    Deep Language Networks:
    Joint Prompt Training of Stacked LLMs using Variational Inference (NeurIPS 2023)

    Building a functional understanding of common optimization tools, theoretically understanding how optimizers and datasets influence the learnt function rather than its parameters.


    Recent relevant publications:
    Asking for Knowledge (AFK): Training RL Agents to Query External Knowledge Using Language (ICML 2022) and Augmenting Autotelic Agents with Large Language Models (CoLLAs
    We are looking for someone to enhance or complement these research themes, leading their own research agenda.

    In addition to these themes, we work in close collaboration with the MSR Montreal's Fairness, Accountability, Transparency, and Ethics (FATE) team, addressing questions such as the proper evaluation of language models for harm assessment.

    Microsoft Research Montreal offers an exhilarating and supportive environment for cutting-edge research, both theoretical and applied, with access to an extraordinary diversity of big and small data sources, an open publications policy, and close links to top academic institutions in the Montreal Artificial Intelligence (AI) community and around the world.

    For more information on the lab's members and their interests, see the Microsoft's Montreal lab webpage.
    Microsoft's mission is to empower every person and every organization on the planet to achieve more.

    Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

    In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.

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