IBM Research takes responsibility for technology and its role in society. Working in IBM Research means you'll join a team who invent what's next in computing always choosing the big urgent and mind-bending work that endures and shapes generations. Our passion for discovery and excitement for defining the future of tech is what builds our strong culture around solving problems for clients and seeing the real world impact that you can make. IBM's product and technology landscape includes Research Software and Infrastructure. Entering this domain positions you at the heart of IBM where growth and innovation thrive.
As AI systems evolve to incorporate agentic architectures and non-language modalities new challenges arise in ensuring their reliability and efficiency at scale. This internship will focus on foundational research and engineering to support the next generation of AI workloads combining observability benchmarking and optimization across diverse model types and deployment environments.
We invite applications from candidates interested in the following areas:
* Techniques for making agent behavior observable and interpretable across modalities.
* Defining and leveraging key performance and reliability metrics to guide agent behavior and improve system robustness.
* Optimizing serving and orchestration of multi-modal modals in cloud-native environments
This work sits at the intersection of AI infrastructure responsible innovation and system design offering the intern a unique opportunity to contribute to frameworks and tools that enhance the robustness efficiency and scalability of complex AI systems.
PhD or Masters candidates in computer science or related disciplines.
Experience in two or more of: cloud and AI systems performance characterization and optimization generative AI or mathematical modelling.
Strong coding skills (python preferred)