Job Information
Amazon Software Development Engineer, Alexa Smart Home in Seattle, Washington
Description
We are looking for a Software Development Engineer that will help us evolve Alexa into the AI assistant of the future by helping build, train, and deploy modern AI models. The Smart Home team is focused on making Alexa the user interface for the home. From the simplest voice commands (turn on the kitchen light or turn down the heat) to more complicated and natural use cases that use the power of AI and LLM, such as “Turn on the new light in my office” or “Turn off all the lights, except the living room if the TV is on”. We are evolving Alexa into an even more intelligent, indispensable companion that automates routines, simplifies interaction with appliances and electronics, and alerts when something unusual is detected. You will be part of a team delivering features that are highly anticipated by media and well received by our customers. And, you will have the satisfaction of working on a product your friends and family can relate to, and want to use every day.
Key job responsibilities
Design, build and maintain services to enable AI powered Smart Home customer experiences.
Design solutions for model training, inference, and evaluation problems at Amazon scale.
Work with other team members to investigate design approaches, prototype new technology and evaluate technical feasibility
Write clean, maintainable code and perform peer code-reviews
Improve Operational Excellence including Latency and Scalability
Work in an Agile/Scrum environment to deliver high quality software against aggressive schedules
A day in the life
As a Software Engineer on the team, you’ll architect and design the ongoing evolution of our software. You will work with world class multi-disciplinary team of engineers, product managers and designers to craft delightful Smart Home experiences utilizing the latest AI technology. The work you do will affect various surfaces including Alexa App and Alexa voice features. You will build features you will be proud to share to friends and family!
About the team
As part of the Smart Home Science Engineering organization, the team is chartered with building scalable Machine learning powered services to help customers get the most out of their Smart Home. We generate recommendations that help customers setup the right routine and device setup based on their usage.
The team cherishes collaboration, maintains curiosity for learning and holds a high standard for the systems it builds.
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
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.