Amazon Machine Learning Engineer II Amazon Advertising - Sponsored Products Level 

United States, Washington, Seattle 

181646060

We're seeking a Machine Learning Engineer for our Sponsored Products Detail Page Experience and Marketplace Intelligence team to elevate our business to new heights. By developing a profound understanding of shoppers and products, we help shoppers uncover products they'll adore, provide the most efficient platform for advertisers to reach their customers, and enable Amazon to continually innovate for the benefit of all its customers. As a SDE ML, you will operate across various technologies within the organization. Your responsibilities will include designing, coding, troubleshooting, and supporting scalable machine-learning pipelines and online serving systems. You'll also work with implementing end-to-end ML solutions and optimizing their performance. Beyond being a passionately motivated individual contributor, you'll also mentor junior engineers, guiding them to realize their full potential.Key job responsibilities
· Contribute to the technical direction of our offerings and solutions.
· Work with many different technologies across the sponsored products organization.
· Collaborate with experienced cross-disciplinary Amazonians to conceive, design, and bring innovative products and services to market.
· Design and build innovative technologies in a large distributed computing environment and help lead fundamental changes in the industry.
· Create solutions to run predictions on distributed systems with exposure to innovative technologies at incredible scale and speed.
· Build distributed storage, index, and query systems that are scalable, fault-tolerant, low cost, and easy to manage/use.
· Design, code, troubleshoot, and support scalable machine-learning pipelines and online serving systems.
· Work closely with applied scientists to optimize the performance of machine-learning models and infrastructure, and implement end-to-end solutions.

- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language

- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
- Experience in machine learning, data mining, information retrieval, statistics or natural language processing