Software Engineer Ads & Data Mining | LinkedIn | San Francisco Bay Area
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Job description
Software Engineer Ads & Data Mining
The Marketing Solutions Engineering team has technology ownership of all advertising and messaging products and solutions for advertisers to reach the world's largest audience of professionals. This includes offerings in brand and performance advertising, Company pages (for various companies to establish a brand and experience on LinkedIn), and monetization of the Company follower ecosystem. Collectively, this represents more than 25% of LinkedIn's revenue.
Our systems power fast-growing, state-of-the-art and innovative advertising programs and are built on large-scale, distributed web services utilizing the latest technologies. We are looking for people with experience in large-scale deployments in search/advertising/yield optimization with a background in data processing, analysis, optimization, and experimentation to maximize business success metrics.
The Marketing Solutions Engineering team has technology ownership of all advertising and messaging products and solutions for advertisers to reach the world's largest audience of professionals. This includes offerings in brand and performance advertising, Company pages (for various companies to establish a brand and experience on LinkedIn), and monetization of the Company follower ecosystem. Collectively, this represents more than 25% of LinkedIn's revenue.
Our systems power fast-growing, state-of-the-art and innovative advertising programs and are built on large-scale, distributed web services utilizing the latest technologies. We are looking for people with experience in large-scale deployments in search/advertising/yield optimization with a background in data processing, analysis, optimization, and experimentation to maximize business success metrics.
Desired Skills and Experience
At
least 5 years of experience in large-scale and high-performance
deployments in search/advertising/yield optimization as a Senior
Engineer or Senior Applied Researcher, or equivalent position.
Significant experience in machine learning, data mining, analysis, optimization, and experimentation to maximize business success metrics of the products.
Strong knowledge and production code experience in distributed web services.
Thrives in a fast paced, test-driven, collaborative and agile development environment. Strong team player. Provide guidance, leadership and mentoring to peers and less experienced team members.
Pro-actively collaborate with business and product management partners, and to design, build and optimize technical solutions for business success.
Education
MS/Phd in Computer Science or equivalent experience.
Significant experience in machine learning, data mining, analysis, optimization, and experimentation to maximize business success metrics of the products.
Strong knowledge and production code experience in distributed web services.
Thrives in a fast paced, test-driven, collaborative and agile development environment. Strong team player. Provide guidance, leadership and mentoring to peers and less experienced team members.
Pro-actively collaborate with business and product management partners, and to design, build and optimize technical solutions for business success.
Education
MS/Phd in Computer Science or equivalent experience.
About this company
Founded
in 2003, LinkedIn connects the world's professionals to make them more
productive and successful. With more than 300 million members worldwide,
including executives from every Fortune 500 company, LinkedIn is the
world's largest professional network on the Internet. The company has a
diversified business model with revenue coming from Talent Solutions,
Marketing Solutions and Premium Subscriptions products. Headquartered in
Silicon Valley, LinkedIn has offices across the globe.
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, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation, or any other legally protected status. If you believe you need a reasonable accommodation to search for a job opening or to apply for a position, please contact us by sending an email to accommodations@linkedin.com.
http://www.linkedin.com/jobs2/view/18038557?trk=jserp_job_details_text
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, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation, or any other legally protected status. If you believe you need a reasonable accommodation to search for a job opening or to apply for a position, please contact us by sending an email to accommodations@linkedin.com.
http://www.linkedin.com/jobs2/view/18038557?trk=jserp_job_details_text
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