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Amazon Software Development Engineer II - Machine Learning, Amazon in Seattle, Washington

Description

Amazon is investing heavily in building a world class advertising business. Our products are strategically important to our Retail and Marketplace businesses, by delivering billions of ad impressions and millions of clicks daily. With a broad mandate to experiment and innovate, we are growing at an unprecedented rate with a seemingly endless range of new opportunities.

Sponsored Brands' (SB) Sourcing systems and algorithms operate on one of the world's largest product catalogs, matching shoppers with advertised products with a high relevance bar and strict latency constraints. We work hand-in-hand with Machine Learning scientists to come up with novel solutions that deliver highly relevant ads, to improve our customer search and detail page experiences. You will drive appropriate technology choices for the business, lead the way for continuous innovation, and shape the future of e-commerce. This is an opportunity to make a significant impact on the future of the Amazon Ads vision.

As a Software Development Engineer in the SB Sourcing team at Amazon, you will contribute to the technical direction of our offerings and solutions, working with many different technologies across the performance advertising 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

This role requires outstanding programming ability and your technical skills will be stretched while building low-latency, highly scalable, distributed systems to source, rank and qualify ads via ML models for millions of customers. You will contribute to all aspects of the software lifecycle: design, experimentation, implementation and testing. You will succeed in these endeavors by combining your technical experience with your ability to listen to, learn from, and communicate with a diverse group of collaborators.

Basic Qualifications

  • 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience

  • 3+ years of non-internship professional software development 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

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

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