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Description

The Alexa Smart Home team is focused on making Alexa the user interface for the home. From the simplest voice commands (turn on the lights, turn down the heat) to use cases spanning home security, home entertainment, and the home environment; we are evolving Alexa into an intelligent, indispensable companion that automates daily routines, simplifies interaction with appliances and electronics, and alerts when something unusual is detected. You can be part of a team delivering features that are highly anticipated by media and well received by our customers.

As an Applied Scientist, you will work with other scientists and software developers to design and build the next generation of Smart Home experiences using the latest Large Language Models (LLMs). You will build products that your friends and family, along with millions of Alexa Smart Home customers use every day.

Key job responsibilities

• Develop new inference and training techniques to improve the performance of LLMs for Smart Home control and automation

• Develop robust techniques for synthetic data generation for training large models and maintaining model generalization

• Mentoring junior scientists to improve their skills, knowledge, and their ability to get things done

About the team

We are a team of Scientists, Machine Learning Engineers, and Software Developers that work together 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.

We are open to hiring candidates to work out of one of the following locations:

Seattle, WA, USA

Basic Qualifications

• PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience

• 1+ years of building models for business application experience

• Experience programming in Java, C++, Python or related language

• Experience with generative deep learning models applicable to the creation of synthetic humans like CNNs, GANs, VAEs and NF

Preferred Qualifications

• Experience using Unix/Linux

• Experience in professional software development

• Experience with popular deep learning frameworks such as MxNet and Tensor Flow

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 $136,000/year in our lowest geographic market up to $222,200/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.