drjobs Applied Scientist, Alexa Smart Home

Applied Scientist, Alexa Smart Home

Employer Active

1 Vacancy
drjobs

Job Alert

You will be updated with latest job alerts via email
Valid email field required
Send jobs
Send me jobs like this
drjobs

Job Alert

You will be updated with latest job alerts via email

Valid email field required
Send jobs
Job Location drjobs

Vancouver - Canada

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job 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 voice control using the latest Large Language Models (LLMs). 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
- 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.

- 3 years of building models for business application experience
- PhD or Masters degree and 4 years of CS CE ML or related field experience
- Experience programming in Java C Python or related language
- Experience in any of the following areas: algorithms and data structures parsing numerical optimization data mining parallel and distributed computing high-performance computing

- Experience using Unix/Linux
- Experience in professional software development

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability 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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

The base salary for this position ranges from $149300/year up to $249300/year. Salary is based on a number of factors 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. Applicants should apply via our internal or external career site.

Employment Type

Full-Time

About Company

Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.