Research Intern in Machine Learning

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 

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. 

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

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

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