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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.
Want to work on advanced information-retrieval algorithms, massive scalability infrastructure + storage solutions, and large-scale applications for users on web and mobile devices? LinkedIn is looking for Post-grad Bridge Engineering Intern who want to learn, grow, and work with some of the brightest technical talent in the world.
With the changing landscape of engineering, we are looking to help mold the next wave of engineering talent that will require data-heavy, platform and application skills. We're building the next-generation data infrastructure, including storage, streams, media and analytics platforms. Help us scale LinkedIn infrastructure to handle massive data growth across the LinkedIn ecosystem as we experience dramatic growth in membership and products. You will utilize distributed systems and algorithms and perfect your strong systems orientation skills (multi-threading, concurrency, scalability, performance). You will understand frameworks for caching, queuing, and distributed data storage, and be excited to work on cutting edge open-source systems.
A 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. Our internship roles will be based in Sunnyvale, CA.
Our internships are 12 weeks in length, with potential to extend to a maximum of 24 weeks.
Responsibilities
- Scale distributed applications, make architectural tradeoffs applying synchronous and asynchronous design patterns, write code, and deliver with speediness and quality.
- Develop multi-tier scalable, high-volume performance, and reliable user-centric applications that operate 24x7.
- Produce high quality software that is unit tested, code reviewed and checked in regularly for continuous integration.
Basic Qualifications
- Previous engineering intern at LinkedIn with a pending start date for full-time offer with the company.
- Programming experience in one or more of the following languages: Java, C/C++, C#, Python, or Ruby.
- Knowledge of core computer science concepts such as object-oriented design, algorithm design, data structures, problem-solving, and complexity analysis.
Preferred Qualifications
- Experience working in a short-cycle, agile, iterative development team.
- Knowledge of computer science, with strong competencies in data structures, algorithms, software design, and object-oriented skills.
Suggested Skills
- Distributed Systems
- Operating Systems
- Cloud Computing
LinkedIn is committed to fair and equitable compensation practices.
The pay range for this role is $45 - $75 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. 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.
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 accommodations@linkedin.com 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 LinkedIn's legal duty to furnish information.
Pay Transparency Policy Statement
As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency.
Global Data Privacy Notice for Job Candidates
This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://lnkd.in/GlobalDataPrivacyNotice
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