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Research Intern in Machine Learning, Machine Intelligence

Microsoft
entry-level
Location

Cambridge, United Kingdom

Work Type

Onsite

Seniority

entry-level

Posted

December 6, 2025


Total Compensation
€105,000
Yearly Savings (Comfortable)
€26,000
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Job Description

Overview The Machine Intelligence team at MSR Cambridge (UK) is dedicated to foundational machine-learning research, guided by the principles of responsible AI, collaboration, and scientific excellence. Our work is grounded in efficiency, intelligence, and alignment, and we are deeply engaged in collaborations that build on these foundations for systems, the sciences, and human-centred AI.

We are seeking interns to collaborate with our teams on core areas of ML: Efficiency, Memory, Cognition and Trust. We offer a vibrant environment for researchers with unique opportunities to collaborate across disciplines and teams.

Internship Duration: 12 Weeks Locations: Cambridge, UK Responsibilities

  • Contribute to a highly ambitious research agenda within ML that lays the groundwork for advancements across a wide range of scientific and technological domains.
  • Collaborate and foster a culture of innovation with a team of world-class researchers and scientists to explore and solve fundamental problems in ML.
  • Analyze experimental results and evaluation metrics, conduct case studies propose and evaluate research hypotheses.
  • Prepare technical papers, presentations, and open-source releases of research code

Qualifications Required

  • Be enrolled in a PhD program in a relevant field (e.g. ML, Computer Science, Mathematics, Physics).
  • One or more top-tier ML publication.
  • Ability to clearly communicate research ideas and results to a diverse audience.

Preferred

  • Strong ML coding and engineering skills.

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. 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 with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

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