Chercheur(euse) principal(e) - Apprentissage automatique / Senior Researcher - Machine Learning

Job Title: Chercheur(euse) principal(e) - Apprentissage automatique / Senior Researcher - Machine Learning Company: Microsoft Job Category: Machine Learning Roles & Responsibilities: As a Senior Researcher, you will play a crucial role in developing, improving, and exploring the capabilities of efficient, discovery\-oriented AI coding models. Your work will have a significant impact on the development of cutting\-edge technologies, advancing state\-of\-the\-art and providing practical solutions to real\-world problems. * Reasoning \& Verification — Enabling agents to decompose complex programming tasks into manageable steps, plan effectively, search for correct solutions, verbalize and verify their hypotheses. * Interaction \& Memory — Training agents that can operate within development environments, execute code, interpret feedback from tools and tests, and iteratively refine their outputs and maintain a memory of what happened. * Synthetic Environment and Data Generation – Creating environments on demand where agents can practice their skills. Microsoft Research Montreal offers a supportive environment for cutting\-edge research, an open publications policy, and close ties to top academic institutions in the Montreal AI community, such as Mila, and around the world. Responsibilities * As a Senior Researcher, you will design, develop, execute, and implement technology research projects in collaboration with other researchers, engineers, and product groups. * As a member of a world\-class research organization, you will be a part of research breakthroughs in the field and will be given an opportunity to realize your ideas in products and services used worldwide. Research Sciences IC4 \- The typical base pay range for this role across Canada is CAD $114,400 \- CAD $203,900 per year. Work Location: Montreal, Canada Availability: Full time

Qualifications Qualifications requises/minimales Qualifications souhaitées* Programme de recherche démontré par des publications présentées aux conférences suivantes : NeurIPS, ICML, ICLR, COLM, ACL, NAACL, CVPR, COLT, ECCV, ICCV et EMNLP. * Expérience dans la réalisation d’expériences à grande échelle portant sur le préentraînement et/ou l’ajustement fin de transformeurs ou de grands modèles de langage (LLM). * Expérience en apprentissage par renforcement agentique, notamment en clonage comportemental à grande échelle et en optimisation de politiques. * Expérience dans la création, l’optimisation et l’exécution de pipelines d’apprentissage automatique à grande échelle. * Expérience dans la création de pipelines de collecte et de curation de données. Capacité à collaborer, à communiquer efficacement et à travailler au sein d’une équipe multidisciplinaire. * Intérêt marqué pour les applications concrètes et leur incidence. * Expérience favorisant la diversité, l’inclusion et le sentiment d’appartenance dans un environnement de recherche. * Les lettres de recommandation sont les bienvenues, mais ne sont pas obligatoires. Veuillez les joindre si elles sont disponibles. Required qualifications * Doctorate in relevant field OR Master's Degree in relevant field AND 3\+ years related research experience + OR Bachelor's Degree in relevant field AND 4\+ years related research experience. + OR equivalent experience. Other Requirements: Preferred Qualifications * Research program demonstrated by publications at the following conferences: NeurIPS, ICML, ICLR, COLM, ACL, NAACL, CVPR, COLT, ECCV, ICCV, EMNLP * Experience in running large scale experiments with transformers/LLMs pre\-training and/or finetuning * Experience with agentic reinforcement learning, including large scale behavior cloning and policy optimization * Experience in creating, optimizing and running large scale machine learning pipelines * Experience in building data collection and curation pipelines. Ability to collaborate, communicate effectively, and work as part of a multi\-disciplinary team. * Keen interest in real\-world applications and impact. * Experience fostering diversity, inclusion and belonging in a research environment * Reference letters are welcomed, though they are not mandatory. Please include them if available. Key Skills: Machine Learning Salary: CAD 114400 - 203900 per yearly