Applied Scientist Iii, Mexico Consumer

Overview

Do you like working on projects that are highly visible and tied closely to Amazon's growth?

Are you seeking an environment where you can drive innovation leveraging the scalability and innovation with Amazon's AWS cloud services?

The Amazon International Technology Team is hiring Applied Scientists to work in our Machine Learning team in Mexico City.

The Intech team builds International extensions and new features of the Amazon.com web site for individual countries and creates systems to support Amazon operations.

We have already worked in Germany, France, UK, India, China, Italy, Brazil and more.

Responsibilities

Define and own complex machine learning solutions in the consumer space, including targeting, measurement, creative optimization, and multivariate testing.

Design, implement, and evolve Agentic AI systems that can autonomously perceive their environment, reason about context, and take actions across business workflows—while ensuring human-in-the-loop oversight for high-stakes decisions.

Influence the broader team's approach to integrating machine learning into business workflows.

Advise leadership, both tech and non-tech.

Support technical trade-offs between short-term needs and long-term goals.

Basic Qualifications

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

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.

Our inclusive culture empowers Amazonians to deliver the best results for our customers.

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If the country / region you're applying in isn't listed, please contact your Recruiting Partner.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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