Job Description

Senior Researcher – AI (Agentic Systems & Interaction) – Microsoft Research

Redmond, Washington, United States

Date posted: Job number: 1778323

Work site: Up to 100% work from home

Travel: 0-25 %

Role type: Profession - Research, Applied, & Data Sciences

Employment type: Full-Time

Overview

Microsoft Research (MSR) AI Frontiers is inviting applications for a Senior Researcher to join our team in solving real-world problems and pushing the boundaries of agentic AI systems and 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 multi-agent systems (e.g., AutoGen), small language models (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:

• 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 a Senior 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.

Qualifications

Required Qualifications:

• Doctorate (or currently pursuing) in Computer Science or related fields
• Publication record as a lead author or essential contributor at top venues such as: CHI, NeurIPS, UIST, ICML, ICLR, ACL, EMNLP, CVPR, AAAI, ICAPS.

Preferred Qualifications:

• Doctorate in Computer Science or relevant field AND 2 years related research 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 benchmark 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 are welcomed, though they are not mandatory. Please include them if available.

Responsibilities

• 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.

Compensation

Research Sciences IC4 - The typical base pay range for this role across the U.S. is USD $117,200 - $229,200 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $153,600 - $250,200 per year.

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

Microsoft will accept applications and processes offers for these roles on an ongoing basis.

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

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

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