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
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.
-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
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.
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-Documents in alternate formats or read aloud to you
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-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.
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