Senior Staff AI Engineer - Marketing Solutions Agentic Team Job at LinkedIn in S

Senior Staff AI Engineer (Technical/Thought Leader) LinkedIn Marketing Solutions, Agentic Team LinkedIn is the world’s largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. The LMS Agentic team is responsible for designing and building AI agents in the fastest growing Marketing Solutions business ($5.5B+) at LinkedIn. Staff engineer, you will be responsible for the design and implementation of AI-powered skills, capabilities, and experiences in a new zero-to-one product that empowers marketers to reach, engage, and convert their future customers with personalized messaging. 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. Work with large-scale data to build solutions which will leverage and support new AI techniques for multi-task learning, transfer learning, content understanding, deep learning, entity embedding and algorithms to optimize member experience. Provide technical leadership to junior engineers and collaborator orgs, drive and perform best engineering practices to initiate, plan, and execute large-scale, cross-functional critical projects. Partner with data science & analytics teams, product & infrastructure teams to build new innovative ideas to improve member experience. 5+ years of industry experience in software design, development, and algorithm related solutions ~2+ years in a Lead, Staff, Principal, Architect, or similar technical Leadership position. ~ BA/BS Degree in Computer Science or related technical discipline or equivalent practical experience ~ Experience with Machine Learning or Recommendation Systems 10+ years of experience, including extensive work with leading solutions related to AI/Machine Learning and Generative/Transformer Models ~ Masters or PhD in Computer Science, Machine Learning, Statistics or related fields ~ Background in one or more of the following areas: deep learning, knowledge graph, information retrieval, and Large Language Models (LLM) ~ LinkedIn is committed to fair and equitable compensation practices. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. 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: LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. 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. Documents in alternate formats or read aloud to you -Having a sign language interpreter present for the interview 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: 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: