Cambridge Residency Programme - Researcher in Agentic AI Systems & Infrastructure

This position is part of the Future AI infrastructure (FAI) team at MSR Cambridge, focusing on the design and optimization of agentic AI systems.

Responsibilities:

• Conduct original research on agentic AI systems, emphasizing memory, communication, and orchestration.
• Prototype components for multiagent inference with system-level optimizations.
• Explore ML and systems co-design opportunities using tools like Pytorch.
• Evaluate ideas through real-system experiments and empirical studies.
• Collaborate with a multidisciplinary team on research challenges.
• Communicate results and insights effectively.
• Contribute to an open research environment.

Qualifications:

• PhD (or near completion) in Computer Science, Machine Learning, Electrical Engineering, or related field.
• Strong background in ML-systems co-design and AI inference systems.
• Proven ability to conduct independent research, evidenced by publications or deployed artifacts.
• Effective collaboration in cross-disciplinary research teams.

This is a 2-year fixed-term contract role.