Machine Learning Engineer

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Machine Learning Engineer

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Amazon’s Intelligent Cloud Control Group in Berlin is looking for a Machine Learning Engineer to develop large-scale machine learning implementations that will revolutionize the way Amazon manages its cloud computing infrastructure. With an ever-growing number of fleets, developers, customers, products, marketplaces, sellers, and businesses the Amazon service graph is one of the largest and most complex tech ecosystems in the world. We are building an Intelligent Cloud Control system that enables Amazon businesses (Retail, Amazon Video, Kindle, and more) to accelerate innovation in the cloud.

As a Machine Learning Engineer in the Intelligent Cloud Control team, you’ll collaborate with scientists to develop and evaluate machine learning models using large datasets such as orders, website traffic, monitoring telemetry, and logs from every host at Amazon. You will own scaling-up successful prototypes and implementing a reliable automated production workflow for the model. You will collaborate with senior software development engineers to integrate the model with the customer experience.

You will work on mathematical and software problems with a large element of unpredictability. You will analyze and process large amounts of data, develop new sophisticated algorithms and improve existing approaches using statistical models, machine learning algorithms, and big data solutions. These solutions enable teams to automatically scale and operate compute infrastructure, optimizing both the availability and the cost efficiency of the hardware underpinning all of Amazon’s businesses.

We’re looking for engineers capable of using machine learning and other techniques to design, evaluate, and implement state-of-the-art solutions for never-before-solved problems.

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