Cambridge Research Intern – AI Infrastructure Machine Learning

Job Description

The AI Infrastructure team at Microsoft Research Cambridge (UK) is dedicated to fundamental and impactful Machine Learning research. Our broad mission is to solve challenging problems from multiple areas, including

• Efficient evaluation of diffusion and flow-matching models,

• Test-time reasoning in large-language models, or

• The future of AI cloud infrastructure.

We have an internship opportunity covering a wide range of topics in these areas.

We are seeking an ML PhD students to join us in Cambridge spring/summer 2025. You will joining a welcoming and highly collaborative environment and work on creative and challenging problems during your internship.

Responsibilities

As part of an ambitious collaborative project, you will

• Research and Develop novel Machine Learning models and algorithms.

• Design, implement and evaluate machine learning experiments.

• Write and present your findings in technical documents or papers

Qualifications

Required/Minimum Qualifications:

• Be enrolled in a PhD program in Machine Learning, Statistics, Computer Science (or related discipline).

• Deep experience in one or more of the following: LLMs (training, inference, architectures, chain-of-thought, prompt-tuning), Flow or Diffusion Models (continuous or discrete), Quantization methods, Reasoning, Knowledge Representation, ML Optimization.

• Interns are expected to be physically located in Cambridge UK.

Other Requirements:

• A subset of the following:

• Strong communication skills, especially scientific writing and communication.

• Publications in relevant conferences (e.g. NeurIPS, ICML, ICLR), or high-profile scientific journals.

• Ability to code in Python, as well as familiarity with Git and code reviews.

• Ability to work in an interdisciplinary collaborative environment with people from different technical backgrounds.

Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.