Engineering Manager - Feed Personalization Platform | LinkedIn | San Francisco Bay Area
Engineering Manager - Feed Personalization Platform
LinkedIn - San Francisco Bay Area
Posted 23 days ago
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Job description
LinkedIn’s
Feed team is responsible for delivering the systems and algorithms that
generate and serve feeds of professionally relevant activities and
content. These feeds are used to power many of LinkedIn’s most important
products including.: LinkedIn.com, LinkedIn’s Mobile App, LinkedIn
Pulse Mobile App, LinkedIn Connected Mobile App, Recruiter, and many
more.
As an Engineering Manager on the Feed Personalization Platform Team you will be responsible for leading and building a team to build the online serving platform that makes the LinkedIn feed the essential source of professional insights for hundreds of millions of users, working with some of the best of the best systems and data engineers and scientists.
What can you do with hundreds of millions of professionals, billions of professional connections, loads of shared links, conversations, and boat loads of professional attention?
We want you to build really powerful ways for professionals to be great at what they do: stay informed, get the drop on the competition, learn something new, get inspired by someone else's great work, exchange ideas, meet people who might be great to work with, and a lot more.
Responsibilities:
• Hire world class talent and provide technical guidance, career development, and mentoring to team members
• Fulfill leading contributor role as a lead engineer and a hands-on manager of a small team working on stream relevance
• Collaborate with system and application engineering teams to showcase the best content to our users
• Ownership of feature engineering, feed serving and controlled experimentation enabling a richer daily use-case on LinkedIn
• Empower the HiPPO (Highest Paid Person’s Opinion) with data-driven decisions
As an Engineering Manager on the Feed Personalization Platform Team you will be responsible for leading and building a team to build the online serving platform that makes the LinkedIn feed the essential source of professional insights for hundreds of millions of users, working with some of the best of the best systems and data engineers and scientists.
What can you do with hundreds of millions of professionals, billions of professional connections, loads of shared links, conversations, and boat loads of professional attention?
We want you to build really powerful ways for professionals to be great at what they do: stay informed, get the drop on the competition, learn something new, get inspired by someone else's great work, exchange ideas, meet people who might be great to work with, and a lot more.
Responsibilities:
• Hire world class talent and provide technical guidance, career development, and mentoring to team members
• Fulfill leading contributor role as a lead engineer and a hands-on manager of a small team working on stream relevance
• Collaborate with system and application engineering teams to showcase the best content to our users
• Ownership of feature engineering, feed serving and controlled experimentation enabling a richer daily use-case on LinkedIn
• Empower the HiPPO (Highest Paid Person’s Opinion) with data-driven decisions
Desired Skills and Experience
• MS in Computer Science and/or 5+ years relevant work experience
• 3+ years relevant work experience in relevance systems
• Experience building distributed systems
• A strong interest in personalization and machine learning
• Strong belief that "Data beats Intuition" and in "Fail Fast, Succeed Faster"
http://www.linkedin.com/jobs2/view/17348806?trk=jserp_job_details_text
• 3+ years relevant work experience in relevance systems
• Experience building distributed systems
• A strong interest in personalization and machine learning
• Strong belief that "Data beats Intuition" and in "Fail Fast, Succeed Faster"
http://www.linkedin.com/jobs2/view/17348806?trk=jserp_job_details_text
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