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.

The key unique challenge in the Smart Home domain is that the interpretation of all utterances is dependent on the device context of the home. This is the collection of all smart home and Echo devices that a customer owns, along with the names and grouping of those devices, as configured by the customer. This means that for the same utterance ("Turn on the lights"), a different device context results in different correct actions, such as turning on a single light, all lights, or a smart plug. Solving the problem takes on complexity in these two dimensions, which we call utterance complexity and customer complexity.

Key job responsibilities
- Build, deploy, and maintain Native AWS infrastructure to enable AI model training and inference for both online customer experiences and offline evaluation.
- Create services to enable language engineers to effectively and efficiently annotate utterances for complex use cases.
- Design solutions to challenging model training, inference, and evaluation problems at Amazon scale.
- Support operational excellence initiatives.

About the team
We are a team of Machine Learning Engineers and Software Developers, who are part of the Smart Home AI group. We work with scientists and other engineers across the organization to make Alexa more insightful and proactive through ambient intelligence - with features like Alexa Hunches that automatically control Smart Home devices.

We are interdisciplinary and we act like it -- we ask each other questions and value our different perspectives. The AI technology revolution has created new opportunities to add more intelligence to our customers lives. With multi-year roadmaps planned across all Alexa domains, Smart Home is one of the pioneers of LLM adaptation. We are looking for a SDE who will help us to build algorithmic platforms and tools required to evolve Alexa into the AI assistant of the future.

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.

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.