Cambridge Internship in ML Model Optimization

Join our Strategic Planning and Architecture (SPARC) team within Microsoft’s Azure Hardware Systems & Infrastructure (AHSI) organization and be a part of the organization behind Microsoft’s expanding Cloud Infrastructure and responsible for powering Microsoft’s “Intelligent Cloud” mission. We are seeking a masters/PhD student to join us in Cambridge winter/spring 2025 to work on model compression and optimization for LLMs, covering topics such as post training quantization and quantization aware training. You will be joining a welcoming and highly interdisciplinary team and work on creative and challenging problems during your internship. 

• Research and develop quantization flow for LLM inference and training  

• Design, implement and evaluate performance of quantized SOTA LLMs  

• Write and present your findings in technical documents or presentations