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.
At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers both hybrid and remote work options. This means you can 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, or you can work remotely from most locations within the country listed for this role.
This role will be based in New York, NY and will sit alongside our Video Engineering team. As a senior AI leader in NY, you will help lead the buildout of our AI talent presence in the New York office.
The Video AI team sits at the heart of our LinkedIn’s ambitious growth strategy. Our team is a dynamic group of machine learning experts dedicated to revolutionizing the way we interact with video content. This team is at the forefront of developing cutting-edge artificial intelligence technologies that enhance video understanding, search, and personalization. By leveraging state-of-the-art AI techniques, the Video AI team is poised to open up new ways of engaging with videos on LinkedIn.
Our work encompasses a range of applications, from real-time video analytics to intelligent content recommendation systems, positioning our company as a leader in the rapidly evolving landscape of video technology. As LinkedIn continues to revolutionize our market presence, the Video AI team’s expertise will be instrumental in shaping our product offerings and achieving our strategic goals, ensuring we stay ahead of the competition and deliver unparalleled value to our 1 billion+ global users.
Below are a few examples of the problem spaces we work in (and much more!):
Video Understanding: Building state of the art content understanding models and content embeddings to power all video use cases.
Video Feed Personalization: Identifying the most engaging content and distributing to users.
Video Search: Tackling the multimodal search problem, delivering videos that provide the highest user value.
Video Safety: Safeguarding users from malicious actors and content, building an open and safe community for all.
As a Principal Staff Engineer on the Video team, you will act as the primary domain expert and Tech Lead for Video (primarily focused on the AI stack, but you will be providing tech leadership across the entire Video serving stack). You will research, develop, build and ship cutting edge AI technologies. You are expected to provide technical leadership, and drive architectural decisions and implementation across the engineering organization.
Responsibilities
Lead key technical and design discussions with a team of Product, Platform/Infra, and AI/ML Engineers across the entire Video stack.
Provide technical leadership to cross-functional teams and drive alignment on technology strategy
Define the bar for quality and efficiency of software systems while balancing business impact, operational impact and cost benefits of design and architectural choices
Partner effectively with leads (ICs and managers) from other AI teams
Attract world class talent and provide technical guidance, career development, and mentoring to team members.
Lead by example to build a culture of craftsmanship and innovation
Establish a culture that values diverse viewpoints while navigating complex decisions
Be an industry thought leader for AI & Video. Represent LinkedIn in relevant industry forums.
Basic Qualifications
BA/BS Degree in Computer Science or related technical discipline or equivalent practical experience
7+ years of industry experience in software design, development, and algorithm related solutions.
7+ years experience programming languages such as Python, etc.
5+ years in an architect or technical leadership position
Background in the following areas: Machine Learning, Artificial Intelligence, Consumer Video
Preferred Qualifications
Experience in bringing large scale AI systems to production, with an emphasis on Video recommendation systems for Consumer applications.
PhD in Computer Science, Machine Learning, Statistics or related fields
9+ years of experience in AI/Data Science and Machine Learning
Demonstrated ability to work with peers in engineering across teams to set technical directions
Excellent communication and presentation skills
Suggested Skills:
Video
Application architecture
Machine Learning
LinkedIn is committed to fair and equitable compensation practices.
The pay range for this role is $218,000 to $357,000. 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
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 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
