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Applied Scientist At Amazon.com

Location: Vancouver, British Columbia

Job Description

Job Description

Are you excited by the prospect of solving some of the hardest and most valued technical challenges of cloud computing data science? Do you want to apply your deep analytical skills to the space of highly-available replicated databases? Come join us in Amazon RDS and help us innovate with always-on databases in the AWS cloud!

The AWS Relational Database Service (RDS) is one of the largest cloud database businesses, providing super-simple provisioning and management for databases in the cloud. Customers can set up a new database with just a few clicks, and complex administrative tasks like scaling, fail-over, and monitoring are handled in an automated fashion by our control systems. Providing such simplified management for customers comes with the challenge of building sophisticated and reliable control systems. The systems we build manage huge numbers of databases and vast amounts of storage across multiple datacenters world-wide, and our service is growing rapidly, requiring constant innovations in our systems in order to handle the next order of magnitude in service scale.

The RDS Performance Insights team's drive to improve customers' ability to manage their databases is moving beyond the present day fundamentals for databases-as-a-service. We’re looking for a passionate, talented, and inventive Applied Scientist to help build industry-leading intelligent offerings that customers love. Our mission is to apply Artificial Intelligence (AI) and Machine Learning (ML), in order to solve problems around the management of database performance and scalability.

You will leverage RDS’ heterogeneous data sources and AWS' large-scale computing resources to accelerate advances in artificial intelligence as applied to databases. You will work in a fast paced team environment alongside top-notch software engineers. Your work will directly impact our customers in the form of disruptive products and services which have the potential to drastically re-shape customers' expectations of cloud-managed databases.

Basic Qualifications

  • Graduate degree (MS or PhD) in Electrical Engineering, Computer Sciences, or Mathematics with relevant work experience
  • Familiarity with standard machine learning techniques, scientific thinking, and the ability to invent
  • Experience working in close collaboration with software engineering teams
  • Experience releasing and operating ML based solutions to production environments
  • Familiarity with programming languages such as C/C++, Java, Perl or Python

Preferred Qualifications

  • Solid Machine Learning background with experince in supervised machine learning techniques.
  • Strong software development skills
  • Proven track record of innovation in creating novel algorithms and advancing the state of the art
  • Entrepreneurial spirit combined with strong architectural and problem solving skills
  • Excellent written and spoken communication skills