Hello, Microsoft Research Montreal has several open positions for its machine learning team: - A postdoc position <https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fjobs.careers.microsoft.com%2Fglobal%2Fen%2Fjob%2F1673122%2FChercheur-postdoctoral-%25E2%2580%2593-Apprentissage-automatique-%25E2%2580%2593-Microsoft-Research-%257C-Post-Doc-Researcher-%25E2%2580%2593-Machine-Learning-%25E2%2580%2593-Microsoft-Research&data=05%7C02%7Cuai%40engr.orst.edu%7Ce89d12676fd24117cae608dc2f0f13b7%7Cce6d05e13c5e4d6287a84c4a2713c113%7C0%7C0%7C638436989001966269%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&sdata=h8x3%2F3ixWouScDXxQugcxbDQt8gdakIDCiUerQVSvbk%3D&reserved=0>, for a duration of two years - A senior researcher position <https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fjobs.careers.microsoft.com%2Fglobal%2Fen%2Fjob%2F1686482%2FChercheur-%25E2%2580%2593-Apprentissage-automatique-%25E2%2580%2593-Microsoft-Research-%252F-Researcher-%25E2%2580%2593-Machine-learning-%25E2%2580%2593-Microsoft-Research&data=05%7C02%7Cuai%40engr.orst.edu%7Ce89d12676fd24117cae608dc2f0f13b7%7Cce6d05e13c5e4d6287a84c4a2713c113%7C0%7C0%7C638436989001966269%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&sdata=Ck%2BYo5SYBQ%2BuFuZWrDXIuvAfXPXRLAnpdSuzjBbNHso%3D&reserved=0>, aimed at candidates who are in the first stage of their research career after their PhD (roughly corresponding to early assistant professor) - A principal research position <https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fjobs.careers.microsoft.com%2Fglobal%2Fen%2Fjob%2F1674302%2FChercheur-principal-%25E2%2580%2593-Apprentissage-automatique-%25E2%2580%2593-Microsoft-Research-%252F-Principal-Researcher-%25E2%2580%2593-Machine-learning-%25E2%2580%2593-Microsoft-Research&data=05%7C02%7Cuai%40engr.orst.edu%7Ce89d12676fd24117cae608dc2f0f13b7%7Cce6d05e13c5e4d6287a84c4a2713c113%7C0%7C0%7C638436989001966269%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&sdata=JEqH%2BORiT7cb8f3V3TKSAAjI4PLWxxATRP2gBR9Odcc%3D&reserved=0>, aimed at more established candidates (roughly corresponding to late assistant professor / associate professor)
We are looking for candidates who will generate meaningful interactions with the rest of the team. You will find the main research directions currently explored in the lab below. There is no definitive timeline but we aim to start the selection of candidates for interviews in the next few weeks. If you have any questions regarding the positions, please send me an email at nler...@microsoft.com. Research directions in the MSR Montreal ML team: - Designing efficient and modular approaches to develop models that are easy to combine in new ways to address previously unseen tasks in the zero-shot and few-shot settings. Recent relevant publication: Multi-Head Adapter Routing for Cross-Task Generalization (NeurIPS 2023) - 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: Target-based Surrogates for Stochastic Optimization (ICML 2023) and Decision-Aware Actor-Critic with Function Approximation and Theoretical Guarantees (NeurIPS 2023) - Developing teachable agents that can make sense of rich textual feedback and use external tools. 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 2023). -- Nicolas
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