Senior Applied Scientist, Devices, Device Science and Technology

hace 4 semanas


Zapopan, Jalisco, México Amazon A tiempo completo
Senior Applied Scientist, Devices, Device Science and Technology

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.

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 Guadalajara, 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.

We are open to hiring candidates to work out of one of the following locations: Zapopan, MEX

BASIC QUALIFICATIONS
  • 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.

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.



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