Amazon Business Intelligence Engineer Selling Partner Support Impact Measurement 

United States, Washington, Seattle 

665108262

As an Applied Scientist, you will be conceiving, designing, and bringing to market computer vision techniques for a new smart-home product. In this role, you will work daily on challenging problems from the perspective of both a research and production engineer. You will be responsible for developing techniques from invention to validation, and working cross-functionally to ship your algorithms into production. Broad knowledge of modern computer vision techniques, and how to apply them in practice, is required. You will need to develop new algorithms, drawing from state of the art methods, and be able to adapt them in order to work for new use cases in customer’s homes.In this role, you will need to define models, drive best engineering practices, and produce clean, re-usable code. You must be prepared to deal with ambiguity and be ready to learn as you go. You will have the opportunity to influence product decisions and direction that will impact millions of customers.Key job responsibilities
* Research, develop, implement and evaluate novel CV algorithms
* Work closely with software engineering teams to build scalable, real-time implementations
* Optimize and deploy algorithms on target hardware platforms
* Define and drive large-scale data collection efforts
* Collaborate with team members on developing systems from prototyping to production level
* Influence system design by making informed decisions on the selection of data sources, algorithms, and sensors
* Design experiments, perform statistical analysis and deliver ML models

- 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.