AI/ML Engineer Intern, Master's - Summer 2026 (Mountain View, CA)

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 
 

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.

Basic Qualifications: 
• 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. 
 
Preferred Qualifications: 
• 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.) 
 
Suggested Skills: 
• Experience or research in Machine Learning and Deep Learning 
• Experience working with large data sets and data mining 
• Strategic thinking and problem-solving capabilities 
 
As part of the application process for this role, after an initial qualifications review, candidates are required to successfully complete the HackerRank online code challenge. Instructions for completion of the code challenge will be sent to you if your application is selected to move forward in the process. 
 

LinkedIn is committed to fair and equitable compensation practices. 
 
The pay range for this role is $57 to $70. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. 
 
The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit https://careers.linkedin.com/benefits. 

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