Senior Researcher focused on the foundations of generative AI, including new architectures, representations, and learning objectives for foundation models and learning agent platforms. Research areas include proactive agents, test time training, active visual reasoning, world models, multi-scale temporal reasoning, continual learning, multimodal models (VLM, VLA), and real-time agents.

Research Intern position at Microsoft Research Montreal focusing on advancing LLM research in reasoning, interaction (RL training), and modularity, specifically for agentic coding LLMs. The role involves developing, improving, and exploring AI model capabilities, contributing to cutting-edge technologies, and potentially publishing research.

Research role focused on pushing the boundaries of agentic AI, large language, and multimodal models. The role involves developing cutting-edge training methodologies, curating datasets, designing evaluation frameworks, and prototyping new agentic capabilities. Emphasis on research, publication, and potential for real-world impact.

Principal Researcher in Artificial Specialized Intelligence focusing on developing cutting-edge large foundation models and post-training techniques for specific domains and scenarios. The role involves integrating AI systems, developing research prototypes, and publishing findings in top-tier venues.

Senior Researcher at Microsoft Research focusing on Artificial Specialized Intelligence, developing cutting-edge large foundation models and post-training techniques for specific domains and real-world applications. The role involves conducting research, collaborating with cross-functional teams, developing prototypes, and publishing findings.

Research Intern role focused on advancing Generative AI and Large Language Model Technologies, contributing to the development and exploration of LLMs and Multimodal AI models. The lab's mission is to expand AI capabilities, efficiency, and safety through innovations in foundation models and learning agent platforms, with research areas including reasoning, new architectures, action models, multi-agent systems, and evaluation.

Research Intern position focused on the intersection of Machine Learning, Optimization, and Large Language Models (LLMs) for efficient decision-making. Projects involve training LLMs for algorithm design, accelerating optimization algorithms, and using LLMs for sequential decision-making. The role involves designing algorithms/models, prototyping, conducting experiments, and potentially contributing to publications.

Research Engineer at Microsoft Research's AI Frontiers lab focused on advancing AI capabilities in modeling, algorithms, reasoning, and agentic AI. The role involves developing novel ideas in reinforcement learning, evolving pre-training and post-training codebases, and collaborating on state-of-the-art reasoning and agentic AI. Opportunities to ship research to Microsoft customers and expand AI capabilities, efficiency, and safety.

Research Intern position in Microsoft's Deep Learning group focusing on cutting-edge research in deep learning, AI, and related fields. The intern will collaborate with researchers, work on challenging problems, and potentially publish their findings. The role requires a PhD student with experience in Machine Learning, Deep Learning, and mathematical modeling.

Senior Researcher in Microsoft Research AI Frontiers lab focusing on expanding AI capabilities, efficiency, and safety through innovations in foundation models and learning agent platforms. The role involves research into Generative AI and Multimodal Model (MLM) technologies, including reasoning, architectures, training methods, action models, orchestration, multi-agent systems, and evaluation.

Senior Researcher in Microsoft Research's AI Interaction and Learning team, focusing on collaborative AI systems where humans and AI agents work together. The role involves pushing the boundaries of learning and reasoning with foundation models, developing innovative AI/ML techniques, and shaping the team's research agenda. Key interests include designing metrics for evolving goals, eliciting preferences under uncertainty, and managing information flow for coordination. The role requires a PhD and experience in areas like Foundation Models, RL, NLP, and Deep Learning, with a strong publication record in top-tier venues.

Senior Researcher in Generative AI at Microsoft Research AI Frontiers, focusing on expanding AI capabilities, efficiency, and safety through innovations in foundation models and learning agent platforms. The role involves leading research in Generative AI and LLMs, with projects including Small Language Models and agentic AI systems. Key research areas include reasoning, action models for tasks, and evaluation of model/agent capabilities. The position offers a vibrant research environment with an open publication policy and opportunities for real-world impact.

Research Intern position in Machine Learning and Statistics at Microsoft Research New England, focusing on advancing the state-of-the-art in applied and theoretical ML research. Projects cover a broad range of ML topics including generative models, transfer learning, optimal transport, reinforcement learning, and deep learning.

Research Intern position at Microsoft Research focusing on artificial intelligence projects including multimodality, world models, LLMs, and computer vision. The role involves conducting research, developing novel methodologies, and disseminating findings through publications. Requires enrollment in a master's or PhD program.

Research Intern position at Microsoft focusing on advancing artificial intelligence through research in areas like multimodality, world models, LLMs, computer vision, AI4Code, robotics, and agents. The role involves conducting research, developing novel methodologies, and disseminating findings through publications.

Research intern role focused on advancing next-gen AI systems where humans and AI agents collaborate. The role involves research in areas like foundation models, reinforcement learning, multi-objective optimization, NLP, deep learning, interactive learning, agents, causal reasoning, computational social science, and human-AI collaboration, with a focus on shifting AI systems development towards optimizing complex objectives like group-level outcomes and team coordination. The internship is 12 weeks and involves collaboration with researchers and presenting findings.

Research Intern position at Microsoft Research AI Frontiers lab focusing on expanding AI capabilities, efficiency, and safety through innovations in foundation models and learning agent platforms. The role involves developing, improving, and exploring LLMs and Multimodal AI models, with research areas including reasoning, new architectures, action models, multi-agent systems, and evaluation.

Research Intern position at Microsoft's Office of the Chief Scientific Officer, focusing on strategy and opportunities at the frontiers of science, engineering, and responsible AI. The role involves collaborating with world-class researchers on complex challenges in diverse fields, including AI, biology, biomedicine, and the societal influences of AI. Interns will contribute to research and development strides, present findings, and potentially publish peer-reviewed work.

Senior Researcher in Cloud and AI Infrastructure at Microsoft Research, focusing on advancing AI infrastructure architecture and chip design using AI technologies. The role involves investigating hardware trends, optimizing components, conducting simulations, developing prototypes, and collaborating with cross-functional teams to solve complex real-world challenges at the intersection of AI, human interaction, and environmental context.