AI/ML Engineer Intern, Master's - Summer 2026 (Mountain View, CA)
About The Position
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 master's 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
Requirements
- Currently pursuing a M.S. in computer science, statistics, mathematics, electrical engineering, machine learning, or related technical field and returning to the program after the completion of the internship.
- Hands-on experience with machine learning, data mining, or statistics.
Nice To Haves
- Proficient programming skills within large scale projects or professional work experience
- Experience or desire to learn Hadoop
- Strong command of algorithms and data structures
- Proficiency in clustering, collaborative filtering, and classification techniques (Naïve Bayes, SVM, NN, Boosting Methods, etc.)
- Experience or research in Machine Learning and Deep Learning
- Experience working with large data sets and data mining
- Strategic thinking and problem-solving capabilities
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 LinkedIn's systems.
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What This Job Offers
Career Level
Intern
Industry
Administrative and Support Services
Number of Employees
5,001-10,000 employees
