International Machine Learning Engineer for Scalable Analytics Solutions

7 days ago


Seattle, Washington, United States Amazon Full time
Job Overview

As a seasoned machine learning engineer, you will play a pivotal role in designing and implementing large-scale data structures for analytics and data science at Amazon.com Services LLC.

With a strong background in machine learning techniques and software development experience, you will work closely with Applied Scientists, Data Scientists, and Data Engineers to create robust, scalable, and operable solutions using flexible data architectures.

About the Role

This is an exceptional opportunity to work on cutting-edge GenAI solutions and contribute to the International Seller Services (ISS) Central Analytics Data Engineering (DE) team.

In this role, you will have the chance to:

  1. Develop and deploy models and pipelines that scale.
  2. Gather business and functional requirements and translate these into robust, scalable, operable solutions.
  3. Collaborate with cross-functional teams to adopt best practices in ML system creation, experimentation setup, and documentation.
  4. Identify opportunities for improvements in existing data/ML solutions.

Example projects may include setting up Dev environments, implementing experimentation platforms, developing reusable cloud infrastructure, and integrating disparate ML solutions.

Requirements

You must have:

  • Experience with machine learning techniques such as pre-processing data, training and evaluation of classification and regression models, and statistical evaluation of experimental data.
  • 2+ years of non-internship professional ML-software development experience.
  • Programming experience with modern languages such as Python, Java, C++, or C# including object-oriented design.
  • 2+ years of experience contributing to architecture and design of new and current systems.
  • Experience in building production quality and large-scale deployment of applications related to NLP and ML.
Preferred Qualifications

Advanced knowledge of performance, scalability, enterprise system architecture, and engineering best practices is desirable.

Academic and/or industry experience with computer vision, deep learning, machine learning, or large-scale distributed systems is also beneficial.

We estimate the salary for this role to be around $170,000 per year, considering the job description, location, and industry standards.



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