Artificial Intelligence Engineering Intern - Masters

$110,240 - $135,200/Yr

LinkedIn - Mountain View, CA

Full-time - Intern

Remote - Mountain View, CA

About the position

LinkedIn was built to help professionals achieve more in their careers, and every day millions of people use our products to make connections, discover opportunities, and gain insights. Our global reach means we get to make a direct impact on the world's workforce in ways no other company can. We're much more than a digital resume - we transform lives through innovative products and technology. 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 2025 or later. At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can both work from home and commute to a LinkedIn office, depending on what's best for you and when it is important for your team to be together. Our internship roles will be based in Sunnyvale, CA; or other US office locations. Our internships are 12 weeks in length and will have the option of two intern sessions: May 27th, 2025 - August 15th, 2025 and June 16th, 2025 - September 5th, 2025.

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.

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.

Benefits

• The pay range for this role is $53 - $65 per hour.
• 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.
• The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans.