Join the Responsible AI (RAI) Agents team for a Summer Internship dedicated to improving the reliability of AI-for-Science workflows. In this role, you will collaborate with our researchers and engineers to conduct an empirical study on how task complexity influences the performance and potential failure modes of AI agents. You will help define and analyze key metrics — ranging from structural plan features to semantic context—to identify what makes a task challenging for current systems. This internship provides a balance of research and practical application within a global enterprise, offering the chance to work with advanced AI infrastructure and contribute a technical blog post detailing your findings to our RAI community.
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Job Type
Full-time
Career Level
Intern
Number of Employees
5,001-10,000 employees