Research Intern - Data Systems

Summary: Microsoft is a leading technology company providing research internships that offer a dynamic environment for research careers. The Research Intern will work with top researchers and engineers to develop innovative solutions to challenging research problems in data systems. Responsibilities: - Research Interns put inquiry and theory into practice - Alongside fellow doctoral candidates and some of the world’s best researchers, Research Interns learn, collaborate, and network for life - Research Interns not only advance their own careers, but they also contribute to exciting research and development strides - During the 12-week internship, Research Interns are paired with mentors and expected to collaborate with other Research Interns and researchers, present findings, and contribute to the vibrant life of the community - Research internships are available in all areas of research, and are offered year-round, though they typically begin in the summer Required Qualifications: - Currently enrolled in a PhD program in Computer Science or a related STEM field - Research Interns are expected to be physically located in their manager's Microsoft worksite location for the duration of their internship - You'll need to submit a minimum of two reference letters for this position as well as a cover letter and any relevant work or research samples Preferred Qualifications: - Familiarity with the internals of relational database systems, distributed cache and key-value stores, vector databases, storage engines, model training and inference, and big data analytics systems - Familiarity with query processing and optimization, concurrency, transactions, resource management, scheduling - Familiarity with data cleaning, data transformation, data structure and algorithms - Ability to apply AI and ML techniques to data management problems Required Skills: PhD in Computer Science, Relational database systems, AI, ML techniques Important Skills: Big data analytics, Query processing, Data cleaning Nice-to-Have Skills: Data transformation, Data structures, algorithms, Concurrency, transactions, Resource management