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Applied Scientist II, Mexico Consumer

Amazon

Ciudad de México

Presencial

MXN 600,000 - 800,000

Jornada completa

Hace 2 días
Sé de los primeros/as/es en solicitar esta vacante

Descripción de la vacante

A leading global e-commerce company is seeking an Applied Scientist to join their Machine Learning team in Mexico City. This role focuses on defining complex machine learning solutions and designing AI systems that optimize business workflows. Candidates should have 3+ years of experience in analytics and machine learning, with a master's degree in a related field. The company values innovation and customer-first thinking, offering a collaborative environment for passionate individuals.

Formación

  • 3+ years of building models for business applications.
  • Experience in patents or publications at top-tier conferences or journals.
  • Experience in algorithms, data mining, and high-performance computing.

Responsabilidades

  • Define and own machine learning solutions in the consumer space.
  • Design and implement Agentic AI systems.
  • Support technical trade-offs between short-term needs and long-term goals.

Conocimientos

Machine learning
Problem solving
Analytical skills
Communication skills

Educación

Master's degree or above in computer science or related field

Herramientas

Python
Java
C++
Unix/Linux
Descripción del empleo
Overview

Do you like working on projects that are highly visible and are 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.

Your 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.
About you

You want to make changes that help millions of customers. You don’t want to make something 10% better as a part of an enormous team. Rather, you want to innovate with a small community of passionate peers. You have experience in analytics, machine learning, LLMs and Agentic AI, and a desire to learn more about these subjects. You want a trusted role in strategy and product design. You put the customer first in your thinking. You have great problem solving skills. You research the latest data technologies and use them to help you innovate and keep costs low. You have great judgment and communication skills, and a history of delivering results.

Qualifications
  • 3+ years of building models for business application experience
  • Experience in patents or publications at top-tier peer-reviewed conferences or journals
  • Experience programming in Java, C++, Python or related language
  • Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
  • Experience using Unix/Linux
  • Experience in professional software development
  • Master's degree or above in computer science, machine learning, engineering, or related fields

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit the following URL for more information: https://amazon.jobs/content/en/how-we-hire/accommodations. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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