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.