Software Development Engineer
Vacancy expired!
DESCRIPTION The Marketing Tech and Science team helps customers discover and engage with new, popular and relevant products across Amazon worldwide. We do this by combining technology, science, and innovation to build new customer-facing features and experiences alongside cutting edge tools for marketers. You will be responsible for creating and building critical services that automatically generate, target, and optimize Amazon's cross-category marketing and merchandising. Through the enablement of intelligent marketing campaigns that leverage machine-learning models, you will help to deliver the best possible shopping experience for Amazon's customers all over the globe.As a software engineer on the team, you will have the opportunity to design features for and experiment on hundreds of millions of customers all across the globe. Our experimentation centers on Machine Learning enhancements to product advertisement and marketing. The team focuses on feature development that helps vend the most relevant products to customers at any point in their shopping journey. We believe in regular feature develop and frequent experimentation, allowing us to continuously improve the customer experience. You will have the opportunity to explore the many channels Amazon provides for customer outreach and engagement, both onsite and offsite. As a new team, we carry little tech debt. We prioritize writing high quality and maintainable code, and build systems that leverage existing tools to provide extensive test coverage across our services. Amazon's retail business is well established within the company, the Fabric team is unique in its nascency within the organization. The team provides a great opportunity to make an outsized impact in a burgeoning space on fresh or even yet to be built services. If you are passionate about large-scale systems and the cutting-edge in customer engagement and marketing, our team is the right place for you. As a member of our software engineering team you can expect to:
- Solve problems which require novel solutions in low-latency systems
- Solve problems that center around scale, across all realms, over hundreds of millions of customers
- Write high quality, maintainable code
- Perform peer code-reviews and contribute to technical designs
- Integrate and collaborate with applied science experts specialized in machine learning recommendation models
- Think outside the box when it comes to innovating for the customer. Our team is looking for fresh ideas to engage with customers across both internal and external mediums
- Learn and grow from a talented group of individuals within our team and within our sister teams
- Mentor new members as we continue to add to our footprint and scope
Vacancy expired!