The AI Interaction and Learning team in Microsoft Research advances research on collaborative AI systems, where humans and AI agents work together to achieve outcomes that exceed what either could accomplish alone. We work closely with product teams deploying copilots, ensuring that our research both addresses the challenges of large-scale, real-world AI systems. Our mission is to move beyond individual assistance toward joint optimization at the group level, creating collaborative AI systems that enhance collective intelligence.
We are looking for a Senior Researcher with a passion for pushing the boundaries of learning and reasoning with foundation models, and with a proven ability to conduct impactful independent research. In this role, you will develop innovative Artificial Intelligence/Machine Learning (AI/ML) techniques, shape and advance the team’s research agenda, and collaborate widely across the organization.

We are particularly interested in candidates who are passionate about the challenges of developing large-scale, real-world AI systems, including:

• Designing metrics and reward mechanisms to adaptively align to evolving goals.
• Developing algorithms for eliciting preferences and making decisions under uncertainty.
• Managing information flow across groups and organizations to support shared understanding and effective coordination.

QUALIFICATIONS

Required Qualifications:

• PhD in Computer Science or related field (completed or close to completion by the start date).
• Experience in one or more of the following areas: Foundation Models, Reinforcement Learning, Multi-Objective Optimization, Natural Language Processing, Deep Learning, Interactive Learning, Artificial Intelligence.

Preferred Qualifications:

• PhD in relevant field AND 2+ years related research experience.
• Research ability demonstrated by an established publication record in top-tier venues (NeurIPS, COLM, ICLR)
• Demonstrable ability to develop/shape original research agendas.
• Ability to work collaboratively in a multi-disciplinary team.
• Proficient oral and written communication skills.
• Passion for AI research.

Research Sciences IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 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 $158,400 - $258,000 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay
Microsoft will accept applications and processes offers for these roles on an ongoing basis.

MSRR #Research

Microsoft is an equal opportunity employer. Consistent with applicable law, 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

As a Senior Researcher at Microsoft Research, you will undertake cutting-edge research in collaboration with other researchers, engineers, and product groups. Specifically, you will:

• Identify and articulate problems that are academically novel and may directly/indirectly impact business opportunities.
• Research and develop an understanding of the state-of-the-art tools, technologies, and methods being used in the research community and product groups.
• Advance a research agenda through one or more projects, yielding new algorithms, prototypes, theories, tools, methods, or collections of data.
• Develop and deploy computing technologies that uphold trustworthiness, robustness, privacy, values, and ethical considerations.
• Collaborate with other relevant researchers or groups to advance a research agenda.