Job Description

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. Team Overview: The Enterprise AI team is responsible for 7B$+ LOBs at LinkedIn across Hirer, Learning and Enterprise Jobs verticals. The Hirer AI team is responsible for connecting individuals to opportunities and is building the next generation recruiter platform consisting of GenAI powered tools such as AI assisted search and automated inMails. The exciting new charter of Hiring Assistant which will revolutionize recruiting workflows, is also LinkedIn’s #1 priority. The work in the team includes building, tuning and applying generative AI models where relevant, working with Open AI to power GAI applications where relevant and innovating on cutting edge search and recommendation models to retrieve the best candidates for a given role. The LinkedIn Learning AI team is responsible for revolutionizing the online learning space and career development for employees by transforming the way users acquire new skills, improve existing ones, and prepare for the next challenges in their careers. By leveraging Generative AI, and Search & Recommendation technologies we power Learning recommendation, Learning search, and LLM-powered copilot systems specifically designed to empower our users to achieve their learning goals. The Enterprise Jobs AI team is responsible for connecting millions of job opportunities to our members and creating the best talent matching experience for our clients. There are opportunities to also work on cross-functional technologies that power job creation and promotion systems. Location: 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. This role will be based in Sunnyvale, CA. Responsibilities: As the manager in the Enterprise AI team, you will work with exceptional AI Engineers and a very brilliant cross functional team, all laser-focused on creating platforms to connect all individuals in the global workplace to all the global opportunities and to create an impact on the learning, career development and job finding journeys of millions of LinkedIn users! With Enterprise being the largest LOB for LinkedIn, and an opportunity to scale them significantly makes this role a hyper growth role for a manager.

• Directly responsible for a team of 6-10 engineers.
• Work closely with various other teams (Product, Applications, Infrastructure, Vertical AI teams, etc.) to align on initiatives, leveraging existing solutions, and ensure optimal collaboration.
• Participate in key technical and design discussions with technical leads in the team.
• Define and leverage best practices for engineering and research to ensure optimal productivity and drive faster iterations.
• Attract world class talent and provide technical guidance, career development, and mentoring to team members.
• Operate best engineering and scientific practices & processes to ensure productivity of the team and drive faster iterations via A/B experiments.

Basic Qualifications:

• 5+ years of related industry experience in Machine Learning, development, and algorithm related solutions
• 1+ year(s) of management experience leading a AI/ML engineering team, or 1+ year(s) of Staff level AI/ML engineering experience with management training
• BA/BS in Computer Science or other technical discipline, or related practical technical experience
• Hands on experience in data modeling and machine learning

Preferred Qualifications: 

• 2+ years of experience as a Engineering Manager
• 7+ years of professional experience in AI, Machine Learning, Data Engineering, or a related domain.
• MS or PhD in Computer Science, Machine Learning, Statistics or related fields
• Experience driving impact with Generative AI products and Search and Recommendation systems

Suggested Skills:

• Machine Learning, Big Data and Deep Learning
• Engineering Leadership
• AI Engineering

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 Disclosure: LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $164,000 - $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 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: Please reference and 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: 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:

Job Tags

For contractors, Flexible hours,

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