Senior Research Machine learning Eng, App Science Research

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Job Details

The Research Engineering positions in Amobee’s Platform Applied Science Research team is a hands on role that contributes to Amobee’s success through expertise in both large-scale systems and applied science. You will leverage hadoop and distributed systems ecosystem to create the next generation of architecture, specifically for applied science. Qualified individuals will have a solid background in the fundamentals of computer science, some expertise in distributed computing and some experience with machine learning, data mining and statistics.
Because we are a small team, your ability to communicate technical ideas effectively, in oral and written forms, and solve complex problems in a team environment will also be considered.

Responsibilities

  • Build scalable real-time Ad scoring and ranking systems for bid optimization
  • Design and Develop algorithms and systems for other ‘intelligent’ components in Amobee platform such as budget optimization, multi-touch attribution, campaign diagnosis, A/B testing, PMML infrastructure, science dashboard and advisorie
  • Perform data and predictive analytics tasks
  • Use hadoop and other technologies to train models and generate insights
  • Collaborate with other development teams, product management, marketing science, QA, support, operations and customer success teams to deliver new features and improvements to our technology and business
  • Occasionally help troubleshoot production and customer issues
  • Required Qualifications

  • A degree in Computer Science at any level is a must. MS/PhD preferred
  • 0-5+ years of relevant experience (appropriate MS/PhD project work acceptable)
  • Experience with Java preferred; other primary languages like C, C++, python acceptable
  • Basic knowledge of and strong interest in machine learning, data mining and statistics is a must
  • Working knowledge of hadoop and relational/non-relational databases preferred
  • Experience with some system design preferred
  • Experience with Linux based operating systems is a plus
  • Must be talented, hard working, self-motivated, humble and cooperative
  • #LI-KM1

    About Amobee 
    The world’s leading independent advertising platform, Amobee unifies all advertising channels—including TV, programmatic and social—across all formats and devices. We provide marketers with streamlined, advanced media planning capabilities powered by in-depth analytics and proprietary audience data. Our platform and technology, provides the most advanced advertising solutions for the convergence of digital and advanced TV— including linear TV, over the top, connected TV, and premium digital video. Enabling advertisers to plan and activate across more than 150 integrated partners, including Facebook, Instagram, Pinterest, Snapchat and Twitter. 

    Amobee has been named to Fortune’s Top 10 Best Workplaces in Advertising and Marketing. Amobee’s platforms have been widely recognized amongst our industry winning numerous awards in technology innovation, see all Amobee Awards. We are a wholly owned subsidiary of Singtel, one of the largest telco companies in the world, reaching over 700 million mobile subscribers in 21 countries. Amobee operates across North America, Europe, Middle East, Asia and Australia. For more information, visit amobee.com or follow @amobee

    In addition to our great environment, we offer a competitive base salary, employee development programs and other comprehensive benefits. Please send a cover letter along with your resume when applying to the position of interest located at Amobee.com. We are an Equal Opportunity Employer. No phone calls and no recruiting agencies, please.

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