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Cambridge Research Intern – AI Infrastructure Machine Learning

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Microsoft

1mo ago

  • Internship
    Full-time
    Summer Internship
  • Data
    Research & Development
  • Cambridge

AI generated summary

  • You must be a PhD student in ML or related field, experienced in LLMs or diffusion models, proficient in Python, with publications, strong communication skills, and able to work collaboratively.
  • You will research and develop novel machine learning models, design and evaluate experiments, and communicate findings through technical documents and presentations.

Requirements

  • 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.
  • 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.

Responsibilities

  • 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.

FAQs

What is the duration of the internship?

The internship is available for spring/summer 2025.

Where will the internship take place?

The internship will be physically located in Cambridge, UK.

What qualifications are required for the internship?

Candidates must be enrolled in a PhD program in Machine Learning, Statistics, Computer Science, or a related discipline.

What areas of machine learning research will the intern be involved in?

The intern will work on areas including efficient evaluation of diffusion and flow-matching models, test-time reasoning in large-language models, and AI cloud infrastructure.

Is experience with specific machine learning models required?

Yes, deep experience in areas such as LLMs, Flow or Diffusion Models, quantization methods, reasoning, knowledge representation, and ML optimization is required.

What programming skills are necessary for the internship?

Candidates should be proficient in Python and familiar with Git and code reviews.

What kind of work environment can interns expect?

Interns will work in a collaborative environment with interdisciplinary teams consisting of people from different technical backgrounds.

Are there any publication requirements for applicants?

Yes, having publications in relevant conferences or high-profile scientific journals is preferred.

What soft skills are important for this role?

Strong communication skills, especially in scientific writing and communication, are important.

Is Microsoft an equal opportunity employer?

Yes, Microsoft is committed to equal opportunity employment and considers all qualified applicants without discrimination.

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Microsoft

Technology
Industry
10,001+
Employees
1975
Founded Year

Mission & Purpose

Every company has a mission. What's ours? To empower every person and every organization to achieve more. We believe technology can and should be a force for good and that meaningful innovation contributes to a brighter world in the future and today. Our culture doesn’t just encourage curiosity; it embraces it. Each day we make progress together by showing up as our authentic selves. We show up with a learn-it-all mentality. We show up cheering on others, knowing their success doesn't diminish our own. We show up every day open to learning our own biases, changing our behavior, and inviting in differences. When we show up, we achieve more together. Microsoft operates in 190 countries and is made up of more than 220,000 passionate employees worldwide.