Systems Development Engineer - AWS AI Services / Machine Learning
Within AWS, we are focused on bringing knowledge and capability to customers through three layers of the AI stack: Frameworks and Infrastructure with tools like Apache MXNet and TensorFlow, API-driven Services like Amazon Polly and Rekognition to quickly add intelligence to applications, and Machine Learning Platforms such as SageMaker and Apache Spark ML on EMR for data scientists.
We are a company of pioneers. It's our job to make bold bets, and we get our energy from inventing on behalf of customers and providing the tools they need to innovate. Success is measured against the possible, not the probable. For today's pioneers, that's exactly why there's no place on Earth they'd rather build than Amazon Web Services.
We strive to hire the brightest minds from universities around the globe for students with undergraduate and advanced degrees with diverse academic backgrounds. You do not need to be a machine learning scientist to join our team, you need to be eager to learn, intensely curious and motivated to dive in and innovate with us.
As a member of our team, you'll have the opportunity to help AWS build the platforms that will set the standard for cloud computing for the U.S. Intelligence Community agencies and beyond! This position is perfect for you if you're interested in creating tools and automation so that engineers can be as hands-off as possible. We want our services to be as autonomous as possible, and that can only be done by having bright engineers who understand how to Think Big, simplify solutions to complex unprecedented problems, all in pursuit of the best customer experience possible. Our environment is built for engineers who flourish in creating automation to reduce the operational workload rather than simply performing operational work all day. This frees up time for us to create new products and features that benefit our customers inside the Intelligence Community.
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