LinkedIn – Engineering Manager- AI Engineering (Pages)

Sunnyvale, CA, United States

About the job

LinkedIn was built to help professionals achieve more in their careers, and everyday millions of people use our products to make connections, discover opportunities and gain insights. Our global reach means we get to make a direct impact on the world’s workforce in ways no other company can. We are much more than a digital resume – we transform lives through innovative products and technology.

Creating economic opportunity for every member of the global workforce is a responsibility we all share. To truly transform the global economy, we must evolve the way we hire and enable our talent to serve people of all backgrounds and experiences. LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer.
Network is the basic building block for LinkedIn. The network of a member determines their experience on Feed, Notifications, Search etc. The network growth and Pages AI team builds high-quality machine learning models and systems to help every member build the right network with all entities including members and company pages and leverage it to get value via multiple products like PYMK, Feed and Notifications. As a Manager in the Network growth and Pages AI team, you will be responsible for leading a team of engineers and scientists who build recommendation models, and create solutions to scale them

Responsibilities:
Collaborate with application engineering, product, data science and partner teams to design machine learning solutions to power Notification productions and optimize member experience.
Participate in key technical and design discussions with technical leads in the team.
Collaborate with application engineering, product, data science and partner teams to design machine learning solutions.

Operate best engineering and scientific practices & processes to ensure productivity of the team and drive faster iterations via A/B experiments.
Attract world class talent and provide technical guidance, career development, and mentoring to team members.

Manage the performance and career development of a small team of engineers
You will participate with senior management in developing a long-term technology road map.
You will coach the team to produce high-quality software that is unit tested, code reviewed, and checked in regularly for continuous integration.

Basic Qualifications:
-Bachelor’s degree in Computer Science or related technical field or equivalent technical experience
-Experience of leading a team of engineers as a people manager for 1+ years
-4+ years of industry experience

Preferred Qualifications:
PhD in Computer Science, Machine Learning, Statistics or related fields

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.

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://lnkd.in/equalemploymentopportunity2017. Please reference http://www1.eeoc.gov/employers/upload/eeoc_self_print_poster.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