AIML 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 masters 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 LinkedIns systems.

Qualifications :

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 Information :

Equal Opportunity Statement

We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race color religion creed gender national origin age disability veteran status marital status pregnancy sex gender expression or identity sexual orientation citizenship or any other legally protected class.

LinkedIn is committed to offering an inclusive and accessible experience for all job seekers including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful.

If you need a reasonable accommodation to search for a job opening apply for a position or participate in the interview process connect with us at and describe the specific accommodation requested for a disability-related limitation.

Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to :

• Documents in alternate formats or read aloud to you
• Having interviews in an accessible location
• Being accompanied by a service dog
• Having a sign language interpreter present for the interview

A request for an accommodation will be responded to within three business days. However non-disability related requests such as following up on an application will not receive a response.

LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about discussed or disclosed their own pay or the pay of another employee or applicant. However employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information unless the disclosure is (a) in response to a formal complaint or charge (b) in furtherance of an investigation proceeding hearing or action including an investigation conducted by LinkedIn or (c) consistent with LinkedIns legal duty to furnish information.

San Francisco Fair Chance Ordinance

Pursuant to the San Francisco Fair Chance Ordinance LinkedIn will consider for employment qualified applicants with arrest and conviction records.

Pay Transparency Policy Statement

As a federal contractor LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link : Data Privacy Notice for Job Candidates

Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants : Work :

No

Employment Type : Full-time

Key Skills

Microsoft Office,Public Relations,Google Docs,Data Collection,MailChimp,Microsoft Word,Dermal Fillers,Microsoft Powerpoint,Research Experience,Microsoft Excel,Adobe Photoshop,Writing Skills

Department / Functional Area : Engineering

Experience : years

Vacancy : 1