Research Intern - LLM Inference Acceleration and Optimization

Job Description

Research Internships at Microsoft provide a dynamic environment for research careers with a network of world-class research labs led by globally-recognized scientists and engineers, who pursue innovation in a range of scientific and technical disciplines to help solve complex challenges in diverse fields, including computing, healthcare, economics, and the environment. If you are excited about investigating and implementing cutting-edge large language model (LLM) inference techniques and optimizations like quantized KV-caches, flash/paged/radix attention, speculative decoding, and advanced collective communication on graphics processing units (GPUs), come join the AIFX team at Microsoft Azure and contribute to a production-focused, planetary-scale LLM serving stack that is being built on top of excellent open-source efforts like vLLM, SGLang, and HuggingFace. The work includes investigation of cutting-edge, state-of-the-art approaches like "You only cache once (YOCO)" and leveraging them to save memory and compute for serving LLMs at scale. You will get a chance to explore, implement, optimize, and publish your research ideas in collaboration with teams at Microsoft working on real-world production workloads at an unprecedented scale.

Requirements

• Accepted or currently enrolled in a PhD program in Computer Science or related STEM field.
• At least 6 months of experience with training and/or inference of recent LLMs like Llama and Phi.
• Research Interns are expected to be physically located in their manager’s Microsoft worksite location for the duration of their internship.
• In addition to the qualifications below, you’ll need to submit a minimum of two reference letters for this position as well as a cover letter and any relevant work or research samples. After you submit your application, a request for letters may be sent to your list of references on your behalf. Note that reference letters cannot be requested until after you have submitted your application, and furthermore, that they might not be automatically requested for all candidates. You may wish to alert your letter writers in advance, so they will be ready to submit your letter.
• Experience with large-scale collective communication on GPUs.
• Experience with performance benchmarking of AI frameworks like Pytorch, vLLM, and/or SGLang.
• Ability to convert research ideas into working code that runs and scales on real systems.
• Proficient interpersonal skills and growth mindset.
• Open to failing fast in pursuit of ambitious ideas.

Responsibilities

• Research Interns put inquiry and theory into practice. Alongside fellow doctoral candidates and some of the world’s best researchers, Research Interns learn, collaborate, and network for life. Research Interns not only advance their own careers, but they also contribute to exciting research and development strides. During the 12-week internship, Research Interns are paired with mentors and expected to collaborate with other Research Interns and researchers, present findings, and contribute to the vibrant life of the community. Research internships are available in all areas of research, and are offered year-round, though they typically begin in the summer.

Benefits

• Industry leading healthcare
• Educational resources
• Discounts on products and services
• Savings and investments
• Maternity and paternity leave
• Generous time away
• Giving programs
• Opportunities to network and connect