Data systems research at Microsoft Research (MSR) focuses on all aspects of large-scale data systems including query execution, data storage and indexing, resource management for cloud data platforms, data discovery, and data preparation techniques. Candidates with experience in leveraging novel hardware, Artificial Intelligence (AI), and Machine Learning (ML) for data management challenges are of special interest to us.
Requirements
- 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.
Responsibilities
- work with top researchers and engineers at MSR to develop innovative solutions to challenging research problems.
- advance their own careers, but they also contribute to exciting research and development strides.
- collaborate with other Research Interns and researchers, present findings, and contribute to the vibrant life of the community.
Other
- 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.
- In addition to the qualifications below, 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.
- 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.
