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

Remote · USA Full-time New today

LinkedIn is the world’s largest professional network, built to create economic opportunity for every member of the global workforce. They are looking for AI interns to work on massive semi-structured text, graph, and user activity data sets, focusing on building scalable social graph engines and platforms for recommendation and data analytics.

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

Skills

  • 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
  • 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

Benefits

  • Annual performance bonus
  • Stock
  • Benefits and/or other applicable incentive compensation plans

Company Overview

  • LinkedIn is a professional networking site that allows users to create business connections, search for jobs, and find potential clients. It is a sub-organization of Microsoft. It was founded in 2003, and is headquartered in Sunnyvale, California, USA, with a workforce of 10001+ employees. Its website is https://www.linkedin.com.
  • Company H1B Sponsorship

  • LinkedIn has a track record of offering H1B sponsorships, with 892 in 2025, 1108 in 2024, 913 in 2023, 1580 in 2022, 1043 in 2021, 1146 in 2020. Please note that this does not guarantee sponsorship for this specific role.
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