Microsoft Senior Researcher – AI Agentic Systems & Interaction Microsoft Research 

United States, Washington 

227727292

AI Frontiersapplications forin solving real-world problems and pushing the boundaries of agentic AI systems and research

The mission of thelab is to expand the pareto frontier of AI capabilities, efficiency, and safety through innovations in foundation models and learning agent platforms. Some of ourodels (e.g. Phi, Orca), foundation models for actions (e.g., in gaming, robotics, and Office productivity tools)

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:

• 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

As aSenior Researcherour team, you will work hands-on on challenging and impactful projects. You will apply your strong technical skills andto 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.

Required Qualifications:

• (or currently pursuing)in Computer Science or related fields

• OR equivalent experience

• ublication record as a lead author or essential contributor at top venues such as:CHI,NeurIPS

Preferred Qualifications:

• 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, LLAMAetc)andstate-of-the-artAI/MLframeworks 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 experienceevaluating AI models or systems(e.g., running benchmarkexperiments or user studies, analyzing data)

• along with a teamplayer mindset, characterized by effective communication, collaboration, and feedback skills.

• Reference letters are welcomed, though they are not mandatory. Please include them if available.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

• cuttingedgeresearch to solve real-world problems, includingdesigning,developing,evaluatingand sharingnewfoundation model-based

• partners on high-impact projects that deliver real-world impact to people and society.