Post-Doc in Machine Learning, Machine Intelligence

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

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.
  
  

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.
  
  

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.