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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.

ResponsibilitiesLead 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 strategyDefine the bar for quality and efficiency of software systems while balancing business impact, operational impact and cost benefits of design and architectural choicesPartner effectively with leads (ICs and managers) from other AI teamsAttract world class talent and provide technical guidance, career development, and mentoring to team members.Lead by example to build a culture of craftsmanship and innovationEstablish a culture that values diverse viewpoints while navigating complex decisionsBe an industry thought leader for AI & Video. Represent LinkedIn in relevant industry forums.

Basic QualificationsBA/BS Degree in Computer Science or related technical discipline or equivalent practical experience7+ 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 positionBackground in the following areas: Machine Learning, Artificial Intelligence, Consumer Video

Preferred QualificationsExperience 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 fields9+ years of experience in AI/Data Science and Machine LearningDemonstrated ability to work with peers in engineering across teams to set technical directionsExcellent communication and presentation skills

Suggested Skills:Video Application architectureMachine 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.

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