Our internship roles will be based in Mountain View, CA.
At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team.
We are looking for AI interns to work on our massive semi-structured text, graph and user activity data sets. Build highly scalable, highly performant social graph engines, state-of-the-art full-text search engines, and platforms for recommendation and applied data analytics. You will utilize data mining, information retrieval, and machine learning to perfect your strong systems orientation skills.
Candidates must be currently enrolled in a masterās degree program, with an expected graduation date of December 2026 or later.
Our internships are 12 weeks in length and will have the option of two intern sessions:
⢠May 26th, 2026 - August 14th, 2026
⢠June 15th, 2026 - September 4th, 2026
Responsibilities:
⢠Work with BIG data, crunching millions of samples for statistical modeling, data mining, recommendation, or search relevance solutions.
⢠Write production quality code and influence the next generation of LinkedInās systems.