Amazon Sr Software Dev Engineer Antenna Calibration Kuiper 

United States, Washington, Redmond 

116198483

As Sr. Applied Scientist on the Scalable Controls team, you will work alongside business leaders, other scientists, and software engineers to deliver rules that algorithmically manage ads using ML, DL, and R techniques. You will be responsible for bridging the experimental domain with the production domain by building robust and efficient computational pipelines to scale up models, keeping the models fresh, and ensuring that real-world corner cases are handled correctly. You'll own significant products and features from inception through launch, and will work with Product Managers, other Scientists, and Engineers to make your efforts wildly successful. You will lead the science program for our team, providing input to strategic decision making on topics such as program direction/vision, roadmap, and staffing. If this sounds like your sort of challenge, read on.Characteristics indicative of success in this role:* Highly analytical: You solve problems in ways that can be backed up with verifiable data. You focus on driving processes, tools, and statistical methods which support rational decision-making.
* Technically strong: You aren't satisfied by performing 'as expected' and push the limits past conventional boundaries. Your dial goes to '11'.
* Engaged by ambiguity: You're able to explore new problem spaces with unique constraints and non-obvious solutions.* Quality obsessed: You recognize that professional scientists build high quality model development and evaluation frameworks to ensure that their models can provably meet launch criteria, or efficiently iterate in the framework until they do.
* Humbitious: You’re ambitious, yet humble. You recognize that there’s always opportunity for improvement. You use introspection and feedback from teammates and peers to raise the bar.Key job responsibilities
* Apply machine learning and analytical techniques to create scalable solutions for business problems
* Work closely with software engineering and product teams across the organization to drive model implementations and new feature creations
* Work closely with business stakeholders to identify opportunities for current model improvements and new models to significantly benefit the business bottom-line
* Collaborate with scientists within the Ads organization as well as other parts of Amazon to share learnings move the state-of-the-art forward
* Establish scalable, efficient, automated processes for data analyses, model development, model validation and model implementation
* Research and implement novel machine learning and statistical approaches

- 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning

- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Experience with large scale distributed systems such as Hadoop, Spark etc.