Machine Learning - Applied Science - CloudTune

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Employer: Amazon Development Center Romania
  • Engineering
  • IT Software
  • Telecommunication
  • Job type: full-time
    Job level: 1 - 5 years of experience
  • Iasi
  • Updated at: 21.06.2018

    Machine Learning - Applied Science - CloudTune

    Job Description

    Amazon’s Intelligent Cloud Control group in Romania is seeking a passionate Machine Learning Scientist with strong analytical, technical and communication skills to address increasingly complex business questions within the CloudTune team. We process big data sets of hardware performance metrics in order to identify and understand hardware scaling behavior of Amazon websites.

    As part of the Consumer Cloud Enablement business, our mission is to build the next generation of cloud platform that will revolutionize the way people engage with the internet. We are building an Intelligent Cloud Control System that will enable organizations in the Amazon Consumer Business (Retail, Amazon Video, Kindle, Amazon Subsidiaries and more) to accelerate innovating in the Cloud. Over the next 3 years we will migrate 100,000s of Amazon services to the AWS Cloud. Humans are too slow and unpredictable to manage, without automation and artificial intelligence, such a highly-distributed problem at the scale of the Earth and in real time.

    You will be part of a group of research and applied scientists that will collaborate with software teams in Seattle, Dublin and Iasi, Romania. Your group will develop a range of algorithms and models that help software products manage the operations efficiency and availability of our highly distributed website implementation that serve 10s of billions of customer requests per day through Amazon retail websites, Kindle, Amazon instant video, Amazon subsidiaries and more. You will need to demonstrate great passion for customers, agility and adaptability in the face of fast changing business requirements and innovation across the company. You can find out more about us on our group page:

    As the ideal candidate you will be able to independently mine and analyze data, and use any necessary programming, machine learning and statistical analysis software to do so. You must thrive in fast-paced environments which encourage collaborative and creative problem solving, measure and estimate risks, constructively critique peer research, and align research focuses with the Amazon’s strategic needs. You will drive innovations and partner with software teams to deliver products.

    Basic Qualifications

    • Graduate degree in operations research, statistics, engineering, mathematics, or computer science
    • Build quantitative mathematical models to represent a wide range analytical systems & the ability to develop system prototypes
    • Knowledge in probability and statistics: probability, expectation and conditional expectation, common statistics, time series statistics, exploratory data analysis, linear regression, hypothesis testing.
    • Able to convey mathematical results in plain English, being able to clarify and formalize complex problems
    • 1+ years professional experience in software development
    • Strong Computer Science fundamentals in data structures, algorithm design, problem solving, and complexity analysis
    • Data presentation skills
    • Machine Learning background

    Preferred Qualifications

    • PhD
    • Solid coding practices including good design documentation, unit testing, peer code reviews
    • Experience building high-performance computational software
    • Experience working with real-world noisy data
    • Knowledge of at least one statistics/data analysis package, such as R/S/S+, Stat, or SciPy
    • Strong data analysis skills
    • Strong problem solving ability