• Software Development Engineer, Amazon Alexa

    Location US-CA-Santa Cruz
    Posted Date 3 months ago(8/28/2018 12:43 PM)
    Job ID
    662288
    Company
    Amazon.com Services, Inc.
    Position Category
    Software Development
    Company/Location (search) : Country (Full Name)
    United States
  • Job Description

    Interested in Amazon Echo? Excited by using massive amounts of data to develop Machine Learning (ML) and Deep Learning (DL) models? Want to help Alexa Mobile App derive business value and new insights through the adoption of Artificial Intelligence (AI)? Thrilled to be key part of Amazon, who has been investing in Machine Learning for decades, pioneering and shaping the world’s AI technology? Come work on it.
    A successful candidate will be a person who enjoys diving deep into data, doing analysis, discovering root causes, and designing long-term solutions. It will be a person who likes to have fun, loves to learn, and wants to innovate in the world of AI. Major responsibilities include:
    · Being able to deliver a ML / DL project from beginning to end, including understanding the business need, aggregating data, exploring data, building & validating predictive models, and deploying completed models to deliver business impact to the organization.
    · Use Deep Learning frameworks like Tensorflow, and Keras to build models.
    · Analyze, extract, normalize, and label relevant data.
    · Work with Engineers to help our customers operationalize models after they are built.
    · Identifying model drift and retraining models.
    · Research and implement novel Machine Learning and Deep Learning approaches
    ~Interested in Amazon Echo? Excited by using massive amounts of data to develop Machine Learning (ML) and Deep Learning (DL) models? Want to help Alexa Mobile App derive business value and new insights through the adoption of Artificial Intelligence (AI)? Thrilled to be key part of Amazon, who has been investing in Machine Learning for decades, pioneering and shaping the world’s AI technology? Come work on it.
    A successful candidate will be a person who enjoys diving deep into data, doing analysis, discovering root causes, and designing long-term solutions. It will be a person who likes to have fun, loves to learn, and wants to innovate in the world of AI. Major responsibilities include:
    · Being able to deliver a ML / DL project from beginning to end, including understanding the business need, aggregating data, exploring data, building & validating predictive models, and deploying completed models to deliver business impact to the organization.
    · Use Deep Learning frameworks like Tensorflow, and Keras to build models.
    · Analyze, extract, normalize, and label relevant data.
    · Work with Engineers to help our customers operationalize models after they are built.
    · Identifying model drift and retraining models.
    · Research and implement novel Machine Learning and Deep Learning approaches

    Basic Qualifications

    • · Strong written and verbal communication skill
      · Experience giving data presentations
      · Past and current experience writing and speaking about complex technical concepts to broad audiences in a simplified format
      · Knowledge and experience of writing and tuning SQL
      · Familiarity with using data visualization tools
      · Track record of diving into data to discover hidden patterns
      · Experience handling terabyte size datasets
      · Experience working with GPUs to develop models
      · Experience using ML libraries, such as Tensorflow and/or Keras
      · Ability to write production level code, which is well-written and explainable
      · Experience using Python
      · Previous experience in an ML or data scientist role and a track record of building ML or DL models
      · 4+ years of industry experience in predictive modeling, data science and analysis
      A Bachelor or Masters Degree in a highly quantitative field (Computer Science, Machine Learning, Informatics, Operational Research, Statistics, Mathematics, etc.) or equivalent experience

    Preferred Qualifications

    • · Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment
      · Combination of deep technical skills and business savvy enough to interface with all levels and disciplines within our customer’s organization
      · Experience with AWS technologies like Redshift, S3, EC2, Data Pipeline, & EMR
      · Publications or presentation in recognized Machine Learning, Deep Learning and Data Mining journals/conferences
      · Ability to develop experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations
      · Good skills with programming languages, such as Java or C/C++
      · 6+ years of industry experience in predictive modeling and analysis
      · PhD in a highly quantitative field (Computer Science, Machine Learning, Informatics, Operational Research, Statistics, Mathematics, etc.)
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