It is an exciting time to be building experiences and devices at Microsoft. There is no organization in the world that is better positioned to fundamentally change the way that people live and work. The future of productivity is collaborative, intelligent, and embedded in the world around us. Help shape the rapidly evolving productivity landscape by conducting the research needed to create next-generation intelligent systems and drive the company's collective bold ambitions for productivity forward. As a member of the Experiences and Devices Applied Science team, your core mission will be to deliver research that fundamentally impacts Microsoft's produ cts and services . You will also contribute to the scientific community and beyond through presentations, publications, and other outlets (e.g., blogs, press interviews). We are looking for candidates who are smart and creative, as well as self-driven, curious, and comfortable with ambiguity. The successful applicant will collaborate closely
P ush ing the state of the art of Microsoft's products and services via experimentation and hypothesis testing. Many of the things you try should lead to unexpected outcomes. You must be comfortable learning from experience, developing new hypotheses, and iterating. W ork ing with people in a range of roles, including researchers , engineers, designers, and other key product stakeholders. S erv ing as a bridge between research and product. S har ing your research with others via a range of means, including publication , to enable others to build on your work and to contribute to the reputation
We seek applicants from researchers across all areas of machine learning, artificial intelligence, and related fields and a passion for product impact . Examples of current research directions include: Machine learning and optimization Deep learning Reinforcement learning Natural language processing Neuro-symbolic systems and reasoning AI fairness, transparency and ethics Program synthesis Machine teaching Successful candidates will have a PhD and a n established research track record as demonstrated by publications at top international research venues and open source software. Scientific leadership