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Amazon Software Development Engineer - Machine Learning Ad Response Prediction 
United States, Washington, Seattle 
513392192

18.11.2024
DESCRIPTION

As a Software Development Engineer in Machine Learning at Amazon, you will drive the technical direction of our offerings and solutions, working with many different technologies across the sponsored products organization. You will design, code, troubleshoot, and support scalable machine-learning pipelines and online serving systems. You will work closely with applied scientists to optimize the performance of machine-learning models and infrastructure, and implement end-to-end solutions. What you create is also what you own.Key job responsibilities
You are:Highly analytical: You solve problems in ways that can be backed up with verifiable data. You focus on driving processes, tools, and statistical methods which support rational decision-making.
You will:Collaborate on product direction: You’ll build and maintain strong relationships between engineering and partner disciplines (Product, User Experience, QA) to ensure that we're focused on delivering the right product for customers.Lead beyond your team: You will be a key part of a small but growing community of engineering leaders who support their teams and contribute to the overall growth of our product development organization. You'll share your experience and technical acumen in order to drive technology decisions across our organization.

BASIC QUALIFICATIONS

- 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


PREFERRED QUALIFICATIONS

- 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