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Amazon Web Services - Machine Learning Scientist

Amazon Web Services - Machine Learning Scientist

Job ID 
490430
Location 
US-MA-Cambridge
Posted Date 
6/23/2017
Company 
Amazon Fulfillment Services, Inc.
Position Category 
Research Science
Recruiting Team 
North American Teams - AWS

Job Description

Amazon (AWS) Machine Learning Scientist - Cambridge, MA.

We are building a brand new service within the Amazon Web Services Development Center, in Cambridge, MA.

We are seeking an outstanding Machine Learning Scientist to design and implement state-of-the-art solutions for never-before-solved problems. You'll design and run experiments, research new algorithms, and find new ways of optimizing customer experience.

You will work closely with talented engineers to put your algorithms and models into practice. Your work will directly impact our business and help accelerate large enterprises migrating their computing to AWS.

Basic Qualifications

Basic Qualifications:
  • Graduate degree (MS or PhD) in Electrical Engineering, Computer Science, or Mathematics with specialization in machine learning.
  • Programming experience in C/C++, C#, Java, or Python.
  • Experience in planning and learning techniques mainly reinforcement learning and dynamic programming
  • Solid machine learning background and familiarity with state-of-the-art techniques such as deep neural networks
  • A strong track record of innovating through machine learning and statistical algorithms and their applications

Preferred Qualifications

Preferred Qualifications:
  • Contributions such as publications that have advanced the field
  • Solid software development experience
  • Good written and spoken communication skills
Resumes can be sent to taranav@amazon.com or via our career site for consideration

Amazon Web Services offers a robust, fully featured technology infrastructure platform in the cloud comprised of a broad set of compute, storage, database, analytics, application, and deployment services.

Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation


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