Senior Researcher - AI Agents - Microsoft Research at Microsoft

Boston, Massachusetts, United States -

Full Time

Start Date

Immediate

Expiry Date

25 Feb, 26

Salary

0.0

Posted On

27 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI Agents, Collaborative Innovation, Problem Solving, Decision Making, Scientific Method, Outcome Driven Innovation, Multi-disciplinary Teams, Effective Communication, Collaboration, Feedback Skills

Industry

Software Development

Description

Building state-of-the-art agentic systems, applications, and environments. Building agent-native ecosystems (e.g., frontier firms, agentic markets) where agents can effectively collaborate alongside people and other agents. Developing evaluation benchmarks, methods, and tooling for agentic capabilities. Outcome Driven Innovation- The ability to strategically recognize and address unmet needs in industry or knowledge and to create novel, practical, and effective solutions to these unmet needs. This involves the ability to work backwards in research and development, focusing more heavily on the problem to lead to a solution rather than creating something highly original but lacking in application potential. Collaborative Innovation- Knowledge of others' expertise and the ability to involve multiple players (within and outside the organization) in the creation or development of novel products, processes, or research streams. Problem Solving- The ability to identify problems and review related information to develop and evaluate options and implement solutions. Decision Making- The ability to make decisions in a fast-paced, rapidly changing environment. This includes the ability to define, diagnose, and determine an appropriate resolution, recommendation, or decision while considering alternatives and factors (e.g., resources, costs, tradeoffs). Scientific Method- Knowledge of and the ability to use an empirical method of acquiring knowledge. This involves careful observation, applying rigorous skepticism about what is observed, formulating a question or hypothesis, testing the hypothesis through experimentation, drawing conclusions, reporting results, and evaluating the process and retesting the hypothesis. 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. Experience working in multi-disciplinary teams along with a team player mindset, characterized by effective communication, collaboration, and feedback skills.

Responsibilities

The role involves building state-of-the-art agentic systems and applications, as well as developing evaluation benchmarks and methods for agentic capabilities. It requires strategic recognition of unmet needs in the industry to create practical solutions and fostering collaboration among various stakeholders.