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Machine Learning Engineer II, Intl. Seller Growth



17d ago

  • Job
    Junior & Mid Level
  • Software Engineering
  • Seattle


  • 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 at least one modern language such as Python,Java, C++, or C# including object-oriented design
  • 2+ years of experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) 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
  • Academic and/or industry experience with one of more of the following domains: computer vision, deep learning, machine learning or large-scale distributed systems.


  • In this role, you have the opportunity to:
  • Design, implement and operate large-scale, high-volume, high-performance data structures for analytics and data science.
  • Develop and deploy models and pipelines that scale
  • Gather business and functional requirements and translate these requirements into robust, scalable, operable solutions with a flexible and adaptable data architecture.
  • Collaborate with Applied Scientists, Data Scientists, Data engineers to help adopt best practices in ML system creation, Experimentation Setup and documentation
  • Identify opportunities in existing data/ML solutions for improvements
  • Example projects:
  • Setting up a Dev environment for experimenting multiple embedding models for RAG setup
  • Implement a robust experimentation platform to test, iterate, and optimize the Conversation Assistants' performance across key RAG metrics
  • Developing reusable cloud infrastructure and deployment patterns to accelerate productionalization
  • Integrating disparate ML solutions into cohesive customer experiences

Retail & Consumer Goods
Founded Year

Mission & Purpose

Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one. Together, Amazonians research and develop new technologies from Amazon Web Services to Alexa on behalf of our customers: shoppers, sellers, content creators, and developers around the world. Our mission is to be Earth's most customer-centric company. Our actions, goals, projects, programs, and inventions begin and end with the customer top of mind. You'll also hear us say that at Amazon, it's always "Day 1."​ What do we mean? That our approach remains the same as it was on Amazon's very first day - to make smart, fast decisions, stay nimble, invent, and focus on delighting our customers.