AI Engineering Manager, Knowledge Extraction & Linking
Company Overview:
LinkedIn is the world’s largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce. Every day our members use our products to make connections, discover opportunities, build skills and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed. It inspires us to invest in our talent and support career growth. Join us to challenge yourself with work that matters.
About the Team:
The Knowledge Extraction and Linking (KEL) Team, a cornerstone of LinkedIn's Core AI organization, is building the foundations for the next generation of AI products. Operating at the intersection of Large Language Models (LLMs) and Knowledge Graphs, our team drives innovation in semantic understanding and query comprehension across LinkedIn's product lines. We leverage cutting-edge LLM technologies to extract, infer, and link entities and concepts from vast amounts of professional content, building and maintaining LinkedIn's comprehensive knowledge graph.
As part of LinkedIn's Core AI organization, our team's work forms the foundation for numerous downstream applications, from talent search and skill recommendations to content understanding and professional identity verification. Through advanced semantic understanding and query interpretation, we enable more precise and meaningful connections between LinkedIn's one billion members and massive economic opportunities. Our current initiatives focus on enhancing semantic understanding and query comprehension, directly impacting how professionals discover opportunities, connect with others, and navigate their careers.
Key projects that this role will be responsible for include:
- Query Understanding and Annotation
- Organization and People Entity Resolution (OER)
- Large Language Modeling and Serving (LLM)
Location:
At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning 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.
This role will be based in Sunnyvale, CA.
Responsibilities:
- As the AI Manager for the Knowledge Extraction and Linking Team, you will lead a talented team of Applied Researchers and Machine Learning Engineers in developing cutting-edge LLM-powered solutions for entity resolution, semantic understanding, and knowledge graph enhancement. This role offers a unique opportunity to shape the future of professional knowledge systems while directly impacting hundreds of millions of professionals worldwide.
- Lead and mentor a team of ML engineers and researchers in developing state-of-the-art LLM and knowledge graph solutions
- Drive technical strategy for integrating large language models with knowledge graph technologies
- Participate in key technical and design discussions with technical leads across multiple projects
- Collaborate with application engineering, product, and partner teams to design scalable machine learning solutions
- Implement and maintain best engineering and scientific practices to ensure team productivity
- Drive faster iterations via A/B experiments and data-driven decision making
- Attract and retain world-class talent while providing technical guidance and career development
Basic Qualifications:
- 5+ years of professional experience, including significant work with AI algorithms, Machine Learning, LLMs, and/or related engineering disciplines.
- 1+ year(s) of experience in a Manager role.
- Bachelor’s degree in Computer Science or related technical field or equivalent technical experience
Preferred Qualifications:
- 2+ years of experience as an Engineering Manager or TLM, leading AI engineering or research teams.
- 7+ years of total professional experience in AI, Machine Learning, or related areas.
- MS or PhD in Computer Science, Machine Learning, Statistics, or related fields
- Experience with knowledge graphs and entity linking systems
- Deep understanding of modern ML frameworks and large-scale AI systems
- Experience with attention-based models and embedding techniques
- Proficiency in knowledge graph technologies and entity resolution
- Strong background in MLOps and experimentation frameworks
- Expertise in Python, Java, and distributed computing systems
Suggested Skills:
- Engineering Leadership
- Large Language Models (LLM)
- AI Engineering
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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.
Compensation:
LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $200,000-$268,000. 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
