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Amazon Senior Applied Scientist, Alexa Smart Home in Vancouver, British Columbia


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 a Senior 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.

Basic Qualifications

  • PhD in math/statistics/engineering or other equivalent quantitative discipline, or Master's degree and 6+ years of industry or academic research experience

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

  • 3+ years of building machine learning models for business application experience

  • Experience in patents or publications at top-tier peer-reviewed conferences or journals

Preferred Qualifications

  • Experience with large scale distributed systems such as Hadoop, Spark etc.

  • Experience with large scale machine learning systems such as profiling and debugging and understanding of system performance and scalability

  • Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

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, disability, age, or other legally protected status. If you would like to request an accommodation, please notify your Recruiter.

The base salary for this position ranges from $195,900/year up to $327,200/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.