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KDnuggets Home » Jobs » Rocket Fuel: Principal Research Scientist – Machine Learning ( 14:n24 )

Rocket Fuel: Principal Research Scientist – Machine Learning

Develop predictive models and optimization algorithms for ad targeting and bidding on active ad exchanges to optimize advertising results. Grow and lead a team of world class machine learning engineers / scientists.

Rocket Fuel Inc. Company: Rocket Fuel Inc.
Location: Redwood City, CA

From sizzling startup to front-page IPO to pre-eminent ad-tech player, Rocket Fuel has relied on its growing team of bold, innovative, and lovable nerds every step of the way. Join us as we continue to reach new frontiers and fuel incredible success for our customers.

Rocket Fuel's core systems bid in over 50 billion auctions every day (vs ~3 billion daily Google search queries), aggregate and analyze terabytes of data in real-time, and learn and adapt by applying machine learning and artificial intelligence techniques. These systems work in harmony to serve the right advertisement to the right user at the right time for the right price.

Rocket fuel's powerful Advertising that Learns® platform is cutting edge technology and our Machine Learning and AI Teams are implementing new capabilities daily. Our innovations make display, mobile, video, and social learn from one another, and apply an always-on learning approach to span the entire customer lifecycle.

This is an unparalleled opportunity make a big impact with an industry leader in artificial intelligence and big data ad tech.

What you will do:
  • Apply your advanced statistical and software expertise and your innovative ideas in researching and developing predictive models and optimization algorithms for ad targeting and bidding on active ad exchanges to optimize advertising results for our clients
  • Grow and lead a team of world class machine learning engineers / scientists
  • Explore billions of records for patterns in audiences, environments and messages across millions of combinations of attributes
  • Build statistical models to explore online users' behavior and identify key factors that affect these behaviors
  • Build complex models that learn from, and scale to, petabytes of data
  • Contribute to the strategic direction of our internal product development efforts and collaborate with product and engineering teams to turn research into products
  • Advance your expertise and contribute as a thought leader in machine learning and AI

What you need:
  • PhD in Computer Science with emphasis in machine learning and data mining
  • Experience and ability:
    • 12+ years industry experience, and/or
    • Comparable expertise developed in academia, and/or
    • Brilliant, top PhD student at a leading university who can contribute and be compensated at this senior industry level

  • Track record in data driven innovation, problem solving, and building sophisticated products with complex, big data machine learning technologies
  • Expertise in developing complex machine learning based systems, utilizing multiple machine learning frameworks and techniques for optimal accuracy and performance
  • Deep understanding of statistical modeling / machine learning / data mining / AI concepts
  • Proven ability to lead and mentor a team of six to ten software engineers / scientists
  • World class credentials as evidenced through education, publications, presentations, collaborations and service to the research community
  • Hands-on skills in the following technologies:
    • Software development with Java (or C++) on Linux (scripting languages)
    • Large-scale datasets, map reduce architectures, and big data techniques, such as Hadoop, MapReduce, Pig, Hive, Hbase)
    • Logistic regression, Naive Bayes, SVM, decision trees, neural networks, and random forests


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