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Senior Applied Scientist, Devices, Device Science and Data Innovation
hace 2 meses
About the Role
The Amazon Devices team is responsible for designing and engineering high-profile consumer electronics, including the best-selling Kindle family of products. We have also produced groundbreaking devices like Fire tablets, Fire TV, Amazon Dash, and Amazon Echo.
What You Will Help Us Create
As a Senior Applied Scientist, you will design, evangelize, and implement state-of-the-art solutions for never-before-solved problems, helping Amazon Devices to provide customers with great products. This role will be a key member of a Science and Data technology team based in Mexico.
Key Responsibilities
- Define proper output business metrics, and build input models to identify patterns and drivers of the output.
- Drive actions at scale using scientifically-based methods and decision making.
- Design and develop complex mathematical, statistical, machine learning, and GenAI models and apply them to define strategic and tactical needs and drive the appropriate business and technical solutions.
- Design experiments, test hypotheses, and build actionable models.
- Prototype these models by using modeling languages such as R or in software languages such as Python.
- Work with software engineering teams to drive scalable, real-time implementations.
- Utilize Amazon systems and tools to effectively work with terabytes of data.
Requirements
- 5+ 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.
Preferred Qualifications
- 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
