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Senior Applied Scientist, Devices, Device Science and Data Technology

hace 2 meses


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

Amazon Devices is a team of innovators who design and engineer 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 play a key role in shaping the future of Amazon Devices by designing, implementing, and evangelizing state-of-the-art solutions for never-before-solved problems. You will work closely with other scientists, machine learning experts, and engineers to design and run experiments, research new algorithms, and find new ways to improve Amazon Device Services & Software products.

Key Responsibilities:

  1. Develop and implement complex mathematical, statistical, machine learning, and GenAI models to drive business and technical solutions.
  2. Design and develop input models to identify patterns and drivers of output business metrics, and drive actions at scale using scientifically-based methods and decision making.
  3. Collaborate with software engineering teams to drive scalable, real-time implementations.
  4. 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

Requirements
  1. 5+ years of building machine learning models for business application experience.
  2. PhD, or Master's degree and 6+ years of applied research experience.
  3. Experience programming in Java, C++, Python or related language.
  4. Experience with neural deep learning methods and machine learning.

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.