Company Description:
LinkedIn is the world’s largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We’re also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that’s built on trust, care, inclusion, and fun – where everyone can succeed.

Join us to transform the way the world works.

Job Description:
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.

You will join the Media Infrastructure team, responsible for handling all media creation and consumption on LinkedIn. Media, and in particular Video, has become a key driver of business growth for LinkedIn. We are a small team with a large impactful scope. E.g. continuous improvements to video performance and quality move the needle for LinkedIn’s core business metrics. Everyday, our 1B+ members upload and consume millions of new multimedia content (images, videos, documents) across the planet.

You will work with a dynamic team of engineers and collaborate with multiple partner and customer teams to deliver high-performance scalable media capabilities.

Responsibilities:
• You will develop production capabilities to understand multimedia content (images, videos, documents)
• You will improve video quality of experience (QoE) for both creation and consumption flows
• Collaborate and influence cloud service providers (AWS, Google Cloud, Azure, Open AI) to leverage distributed computing, scalable architectures and off the shelf AI models
• Make scalable and performant design choices while also unblocking quick iterations with product partners

Basic Qualifications:
• BA/BS Degree in Computer Science or related technical discipline, or related practical experience.
• 4+ years experience in software design, development, and algorithm related solutions.
• 4+ years programming experience in object-oriented programming languages such as Python, Java, Javascript, C/C++, C#, Objective-C, or Ruby.
• 4+ years of experience working on video technologies such as video processing, live streaming or developing, leveraging AI models for media understanding

Preferred Qualifications:
• BS and 8+ years of relevant work experience, MS and 7+ years of relevant work experience, or PhD and 4+ years of relevant work experience.
• Experience in designing and building infrastructure and web services at large scale.
• Expert knowledge of computer science, with strong competencies in data structures, algorithms, and software design.
• Ability to diagnose technical problems, debug code, and automate routine tasks
• Analytical approach coupled with solid communication skills and a sense of ownership
• Experience building content extraction or generative AI systems for media
• Used to working with product enabling impact on business metrics
• Knowledge of recommendation systems
• Experience developing distributed systems or other large-scale systems

Suggested Skills:
• Technical Leadership
• Architectural Mastery
• Video processing
• Multimedia

You will Benefit from our Culture:

We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels.

LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $147,000 - $240,000. Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location. This may differ in other locations due to cost of labor considerations.

The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For additional information, visit: https://careers.linkedin.com/benefits.


Equal Opportunity Statement
LinkedIn is committed to diversity in its workforce and is 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 an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: https://microsoft.sharepoint.com/:b:/t/LinkedInGCI/EeE8sk7CTIdFmEp9ONzFOTEBM62TPrWLMHs4J1C_QxVTbg?e=5hfhpE. Please reference https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf and https://www.dol.gov/ofccp/regs/compliance/posters/pdf/OFCCP_EEO_Supplement_Final_JRF_QA_508c.pdf for more information.

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 [email protected] 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