Wednesday, 10 August 2016

Linkedin openings as Software Engineer apply online

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Linkedin openings as Software Engineer apply online

Job description

LinkedIn was built to help professionals achieve more in their careers, and every day 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’re much more than a digital resume -- we transform lives through innovative products and technology. 
We are looking for a research engineer/scientist to develop state of art classification and ranking algorithms. You will be instrumental to improving the efficacy of communication and content exchange between millions of LinkedIn members by developing cutting edge spam filters and content classifiers.As part of a new and fast growing team of top notch scientists and engineers, you will experience all the excitement and dynamism of a startup along with the scale and technology of a world class enterprise.

Responsibilities:

  • Develop next-gen spam filtering and content quality technology to determine propagation-worthiness of content.
  • Develop state-of-art text classification models scaling to millions of documents and thousands of categories
  • Mentor junior research engineers in utilizing advanced machine learning techniques for critical business problems
  • Represent LinkedIn in academic and industry circles by showcasing our innovation, data products and scientific expertise in bringing game-changing data products to market

Basic Qualifications:
  • Master’s degree with relevant practical exposure. Exceptional candidates with a Bachelor’s degree and work experience are welcome
  • High proficiency in at least one of the following broad areas: machine learning, statistical modeling/inference, information retrieval, data mining, NLP
  • Ability and eagerness to program

Preferred Qualifications:
  • PhD in computer science, statistics, engineering, mathematics, or similar quantitative discipline
  • 3+ years of hands on experience working on machine learning or related topics
  • Understanding of standard programming and software engineering practices
  • Proven track record of publishing at top academic and industry venues.
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