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Research Intern - Data Systems at Microsoft

Redmond, Washington, United States -

Full Time

Start Date

Immediate

Expiry Date

18 Feb, 26

Salary

0.0

Posted On

20 Nov, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Relational Database Systems, Distributed Cache, Key-Value Stores, Vector Databases, Storage Engines, Model Training, Inference, Big Data Analytics, Query Processing, Optimization, Concurrency, Transactions, Resource Management, Scheduling, Data Cleaning, Data Transformation, Data Structures

Industry

Software Development

Description

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

Research Interns collaborate with fellow doctoral candidates and researchers, present findings, and contribute to the community. They are expected to learn and advance their careers while contributing to research and development.