Post-Doc in Machine Learning, Machine Intelligence

Microsoft

Microsoft

Software Engineering, Data Science
Posted on Oct 14, 2025

Post-Doc in Machine Learning, Machine Intelligence

Cambridge, Cambridgeshire, United Kingdom

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Date posted
Oct 13, 2025
Job number
1894350
Work site
Fully on-site
Travel
0-25 %
Role type
Individual Contributor
Profession
Research, Applied, & Data Sciences
Discipline
Research Sciences
Employment type
Post Doc Research

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 correctness, capability, and efficiency, and we are deeply engaged in collaborations that build on these foundations for systems, the sciences, and human-centred AI.

We seek a highly collaborative researcher with expertise in one or more core areas of ML, strong communication skills, and a commitment to impactful research. We offer a vibrant environment for researchers with unique opportunities to collaborate across disciplines and teams.

Duration: 2 Years

Location: Cambridge, UK

Qualifications

Required

  • A PhD in a relevant field (e.g. ML, Computer Science, Mathematics, Physics).
  • Expertise in one or more sub-fields of ML, evidenced by top-tier publications and/or experience.
  • Ability to clearly communicate your research to a diverse audience.

Preferred

  • Broad ML education and experiences, covering, for example: statistical methods, probabilistic modelling, RL, deep learning, LLM training.
  • Strong ML coding and engineering skills.

Responsibilities

Responsibilities

  • Contribute to ML research projects within Machine Intelligence and other teams across MSR.
  • Collaborate and foster a culture of innovation with a team of world-class researchers and scientists to explore and solve fundamental problems in ML, with a focus on generating impactful, cross-disciplinary applications.
  • Translate theoretical AI concepts into tangible solutions and methodologies that address complex issues within various fields of study and industry sectors.
  • Disseminate research findings through publications, conference presentations, and engagements with the broader scientific community.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.
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

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 and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.