Within Amazon, Machine Learning development and deployment is done by various different roles(SDEs, Data Scientists, Economists, etc), all with very different backgrounds and tool/language/framework preferences, which makes building a monolithic platform to support them all very difficult. The Business Data Technologies team, with the backing of senior leadership from across Amazon, is taking a different approach to the problem by moving forward with a federated approach where individual teams/orgs leverage the tools that they are familiar/comfortable with, and we'll provide the "glue" to tie everything together. A new team is being put together to help 1)Identify the "best of breed" tools at each step in the data science lifecycle from across Amazon(internal and AWS), 2) To define interchange standards and applicable interfaces for those tools to communicate, 3)Identify and fill tooling gaps where appropriate.
This team is in it's infancy, but we're looking for a Software Development Engineer with great "customer obsession" and a strong "bias for action" that will help "deliver results" in a highly visible project that is being backed by several VPs within Amazon. This engineer will bring their knowledge of the ML software development lifecycle and immediately begin to help formulate the requirements and priorities that will form our 2020 roadmap. Once the roadmap is clearly defined, we're looking for a strong SDE to help execute on that vision and drive ML workflow improvements across Amazon. To be successful in this role a candidate should be able to ramp up quickly and understand how many teams across Amazon build their ML/AI workflows, identify areas across multiple organizations where improvements could streamline development, and finally come up with recommendations for potential solutions and ultimately execute on them.
This team will enable Amazon to deliver higher quality models in a more timely fashion by allowing teams across Amazon to more easily discover both existing data sets and workflows and thus encouraging reuse, by reducing the duplicative work being done across Amazon(being frugal), innovating within the tooling gaps, and by giving data science practitioners the opportunity to leverage the tools that they are familiar and comfortable with, which will ultimately delight our customers.
Come join our team, and get in on the ground floor with an amazing opportunity in a very exciting, fast moving space!
Basic Qualifications
* 3+ years of Software Development Engineering experience in a related industry.
* Bachelor's degree in Computer Science, Engineering, or related technical field.
* Excellent knowledge of existing data science tools(notebooks, Sagemaker, etc), frameworks(Tensorflow, XGBoost, etc), and techniques(random forest, neural nets, linear/logistic regression, etc).
* Expert knowledge of data processing platforms and tools.
* Strong communicator in both verbal and written forms, and the ability to connect with multiple teams across Amazon.Advertisement
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