Microsoft Research Intern - Data Systems 

United States, Washington 

710193254

Data systems research at MSR focuses on all aspects of large-scale cloud data systems including infrastructure for managing cloud services, caching, storage, transactional and analytic databases, distributed databases, and vector databases. Our goals include reducing the total cost of ownership of systems using techniques such as auto-tuning, query optimization and processing, approximate query processing, and exploiting modern hardware to push the envelope of performance, reliability, and cost.

During this Research Internship, you will have the opportunity to work with top researchers and engineers at MSR to develop innovative solutions to challenging research problems in the above technical areas.

• Currently enrolled in a PhD program in Computer Science or a related STEM field.

Other Requirements

• 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. After you submit your application, a request for letters may be sent to your list of references on your behalf. Note that reference letters cannot be requested until after you have submitted your application, and furthermore, that they might not be automatically requested for all candidates. You may wish to alert your letter writers in advance, so they will be ready to submit your letter.

Depending on the specific project:

• Familiarity with the internals of relational database systems, distributed cache and key-value stores, vector databases, storage engines, model training and inference, and/or big data analytics systems may be helpful.
• Familiarity with query processing and optimization, concurrency, transactions, resource management, scheduling, and ability to apply machine learning techniques may also be desirable.
• For data exploration projects, some familiarity with data cleaning, data transformation, applications of machine learning, data structure and algorithms may be desirable.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: