We are seeking engineers and researchers to join our Pretraining Text Data team, where we are building the next generation of foundation large language models. If you are passionate about designing and curating high-quality datasets to power frontier AI models, this role is for you.…
Microsoft Research New York City (MSR NYC) is seeking a Senior Researcher whose work focuses on understanding and influencing the ways that artificial intelligence (AI) systems and society shape one another on multiple scales (e.g., individuals, groups, organizations, society as a whole) and over multiple…
Distributed AI training and inference demand precise traffic control to achieve optimal network performance, yet current traffic management methods remain passive, coarse-grained, and fragmented. We argue that future AI backend optimization requires holistic, proactive, packet-level controllability. In this position paper, we propose a new vision…
Large language models now solve many benchmark math problems at near-expert levels, yet this progress has not fully translated into reliable performance in real-world applications. We study this gap through contextual mathematical reasoning, where the mathematical core must be formulated from descriptive scenarios. We introduce…
Behavior cloning (BC) is a practical offline imitation learning method, but it often fails when expert demonstrations are limited. Recent works have introduced a class of architectures named predictive inverse dynamics models (PIDM) that combine a future state predictor with an inverse dynamics model (IDM).…
Microsoft Research New York City (MSR NYC) is seeking a Principal Researcher whose work focuses on understanding and influencing the ways that AI systems and society shape one another on multiple scales (e.g., individuals, groups, organizations, society as a whole) and over multiple timeframes. We…
As an Applied Science Research Intern, you will work with a small team to investigate recent Small Language Models (SLM) architectures and techniques, such as recurrent transformers and universal transformers, as potential approaches for maximizing the throughput of Large Language Models (LLMs) with limited high-speed…
Despite decades of effort, a chasm existed between the theory and practice of device-level biometric authentication. Deployed authentication algorithms rely on data that overtly leaks private information about the biometric; thus, systems rely on externalized security measures such as trusted execution environments. The authentication algorithms…
The Systems Planning and Architecture (SPARC) organization within Azure Hardware Systems & Infrastructure (AHSI) manages Azure’s hardware roadmap from architecture concept through production, helping power Microsoft’s “Intelligent Cloud” mission. During this Research Internship, you’ll focus on applied research and prototyping: how to use large language…
In the future of work discourse, AI is touted as the ultimate productivity amplifier. Yet, beneath the efficiency gains lie subtle erosions of human expertise and agency. This paper shifts focus from the future of work to the future of workers by navigating the AI-as-Amplifier…
The AI Frameworks team at Microsoft develops Artificial Intelligence (AI) software that enables running AI models everywhere, from world's fastest AI supercomputers, to servers, desktops, mobile phones, Internet of Things (IoT) devices, and internet browsers. We collaborate with our hardware teams and partners to build…
Do you come alive when a path isn’t obvious? Would you see open, complex, scientific, AI/ML, and engineering problems as something to be shaped into clear plans, crisp milestones, and aligned teams? We’re Microsoft Research Health Futures. A fast moving, global group of scientists, engineers,…
