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
1. A PhD in a relevant field (e.g. ML, Computer Science, Mathematics, Physics).
2. Expertise in one or more sub-fields of ML, evidenced by top-tier publications and/or experience.
3. Ability to clearly communicate your research to a diverse audience.
Preferred
4. Broad ML education and experiences, covering, for example: statistical methods, probabilistic modelling, RL, deep learning, LLM training.
5. Strong ML coding and engineering skills.
Responsibilities
Responsibilities
6. Contribute to ML research projects within Machine Intelligence and other teams across MSR.
7. 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.
8. Translate theoretical AI concepts into tangible solutions and methodologies that address complex issues within various fields of study and industry sectors.
9. 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 healthcareEducational resourcesDiscounts on products and servicesSavings and investmentsMaternity and paternity leaveGenerous time awayGiving programsOpportunities to network and connect