Senior Research Scientist, AWS Lambda Amazon
Seattle, WA

Job Description

AWS Lambda (https://aws.amazon.com/lambda) is changing the way that companies big and small think about computing in the cloud. Lambda functions offer customers a "serverless" way to create applications, an approach that lets customers turn business logic and application code into scalable, fault-tolerant production systems without requiring every developer to become an expert in distributed systems, deployment technologies, and infrastructure management.

Lambda has experienced phenomenal growth since inception. This is a great opportunity to work on one of the most challenging problems in the cloud, with incredibly talented teammates who know how to ship. If you are passionate about large scale distributed systems and massive data analytics, then Lambda is the perfect place for you. We are seeking a research scientist to join our existing team. Are you passionate about building data driven solutions to solve a variety of problems in the cloud? Are you excited about using large-scale machine learning solutions to understand and improve a large cloud computing business? Do you have a solid background in statistics, programming and communication? Do you enjoy a fast-paced environment?

If this is you, come help us solve problems like:

* Use machine learning techniques to predict customers execution needs and pre-schedule execution making performance seem like magic to customers
* Deliver solutions to help model the execution vast numbers of functions, if you believe that quadrillion is a cool number and dream scale, come talk to us.
* Model customer behavior and adoption to help us better tailor our features to the signals we are getting from our customers.

Responsibilities

* Research and report on Big Data analytics topics across Lambda such as predictive workloads, survival analysis, and cost optimizations.
* Develop statistical models for predicting future system behaviors
* Investigate data insights to aid lambda customers in making key technical and business decisions
* Develop machine learning models for automating data insights discovered through research
* Embed with an engineering team to dive deep into the technical challenges and logistical models of that area of the Lambda system