As a Software Development Engineer on the Detail Page Sponsored Products Allocation and Pricing team, you'd work with Product Managers and Applied Scientists to design and build mechanisms to optimize how the auction makes trade-offs between publisher, advertiser and shopper concerns. You’ll build technical solutions to solve complex business optimization problems. How do we get click and impression data into our systems in real-time to dynamically adapt which ads we show? How do we model and translate seemingly intangible concepts like relevance into economic terms? How do we solve picking thousands of ads to slot in dozens of possible places on the page and do this billions of times a day within a few milliseconds?
A successful candidate will be highly analytical and self-driven. They will be able to handle a high degree of ambiguity. They can identify problems, design and implement solutions and monitor and maintain them.
Key job responsibilities
- Continuously work to understand our customers and our business
- Architect and design ad serving systems that solve real-world customer use cases
- Implement AWS-based solutions and machine learning infrastructure to optimize allocation and pricing of Sponsored Products on the Detail Page
- Integrate your solutions with high volume and low latency distributed systems
- Measure the impact and customer response to your solutions through rapid experimentation
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 contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems
- 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.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
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.