Post Doc Researcher – AI (Agentic Systems & Interaction) – Microsoft Research

Job Description

Microsoft Research (MSR) AI Frontiers is inviting applications for a Post Doc Researcher to join our team. We are focused on solving real-world problems and pushing the boundaries of agentic AI systems and interaction research . The mission of the AI Frontiers lab is to expand the pareto frontier of AI capabilities, efficiency, and safety through innovations in foundation models and learning agent platforms. Some of our projects include work on m ulti- a gent systems ( e.g. AutoGen ) , s mall l anguage m odels ( e.g. Phi, Orca), foundation models for actions (e.g., in gaming, robotics, and Office productivity tools) , and evaluation (e.g., Eureka) . We are seeking exceptional candidates to advance the state-of-the-art in agentic systems and interaction research. Focus areas include, but are not limited to, the following: As a Post Doc Researcher on our team, you will work hands-on on challenging and impactful projects. You will apply your strong technical skills and expertise to build practical solutions to real world problems. Additionally, you will collaborate closely with other researchers and engineers across the company to amplify your impact and grow your career in a supportive and stimulating environment.

Requirements

• Doctorate (or currently pursuing) in Computer Science or related fields OR equivalent experience
• Publication record as a lead author or essential contributor at top venues such as: CHI, NeurIPS , UIST, ICML, ICLR, ACL, EMNLP, CVPR, AAAI, ICAPS.
• Doctorate in Computer Science or relevant field AND 2 years related research experience OR equivalent experience. Hands-on experience working with large foundation models (e.g., OpenAI GPT models, LLAMA etc ) and state-of-the-art AI/ ML frameworks and toolkits (e.g., Pytorch , Tensorflow , Langchain , AutoGen ).
• Demonstrated software engineering experience building and deploying prototypes, applications, or open-source technologies.
• Providing a link to GitHub profile (if available) and/or code samples, is highly encouraged.
• Hands-on experience evaluating AI models or systems (e.g., running ben chmark experiments or user studies, analyzing data) .
• Experience working in multi-disciplinary teams along with a team player mindset, characterized by effective communication, collaboration, and feedback skills.
• Reference letters a re welcomed, though they are not mandatory. Please include them if available.

Responsibilities

• Multi-agent systems and applications Foundation model-based agents Reliable and general-purpose agentic capabilities Human-AI/agent interaction and experiences Agentic evaluation and tooling Responsible AI Perform cutting edge research to solve real-world problems, including designing, developing, evaluating and sharing new foundation model-based technologies.
• Collaborate hands-on with other researchers, engineers, and product group partners on high-impact projects that deliver real-world impact to people and society.

Benefits

• Industry leading healthcare
• Educational resources
• Discounts on products and services
• Savings and investments
• Maternity and paternity leave
• Generous time away
• Giving programs
• Opportunities to network and connect