Applied Scientist, Alexa Enterprise
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Job Location:
Yearly Salary:
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
Are you looking for an opportunity to build an LLM-based enterprise-grade highly available large scale solution Does it excite you to find patterns and build generic composable solutions to solve complex problems Are you looking for inventing newer and simpler ways of building solutions If so we are looking for you to fill a challenging position in Alexa Enterprise (AE) team. AE brings the power of Alexa voice assistant to enterprise partners in industries such as hospitality and senior living. We tackle pressing challenges like workforce shortage. We are inventing Large Language Models (LLM)-driven interactions to create memorable moments for users while simultaneously boosting partner revenues and reinforcing brand identity. Beyond managed properties AE extends Alexas reach to premium third-party devices seamlessly integrating with household names like Samsung LG and Sonos thus amplifying its impact across diverse ecosystems.
AE team is looking for a passionate highly skilled and inventive Applied Scientist with a strong machine learning background to lead the development and implementation of state-of-the-art ML systems for Alexa Enterprise use cases.
As an Applied Scientist in the team you will play a critical role in driving the development of conversational assistants in particular those based on Large Language Models (LLMs) that meet enterprise standards. You will handle Amazon-scale use cases with significant impact on our customers experiences.
Key job responsibilities
- You will analyze understand and improve user experiences by leveraging Amazons heterogeneous data sources and large-scale computing resources to accelerate advances in artificial intelligence
- You will work on core LLM technologies including developing best-in-class modeling prompt optimization algorithms to enable Conversation AI use cases
- Build and measure novel online & offline metrics for personal digital assistants and customer scenarios on diverse devices and endpoints
- Create innovate and deliver deep learning policy-based learning and/or machine learning-based algorithms to deliver customer-impacting results
- Perform model/data analysis and monitor metrics through online A/B testing
- 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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136000/year in our lowest geographic market up to $223400/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 This position will remain posted until filled. Applicants should apply via our internal or external career site.
AE team is looking for a passionate highly skilled and inventive Applied Scientist with a strong machine learning background to lead the development and implementation of state-of-the-art ML systems for Alexa Enterprise use cases.
As an Applied Scientist in the team you will play a critical role in driving the development of conversational assistants in particular those based on Large Language Models (LLMs) that meet enterprise standards. You will handle Amazon-scale use cases with significant impact on our customers experiences.
Key job responsibilities
- You will analyze understand and improve user experiences by leveraging Amazons heterogeneous data sources and large-scale computing resources to accelerate advances in artificial intelligence
- You will work on core LLM technologies including developing best-in-class modeling prompt optimization algorithms to enable Conversation AI use cases
- Build and measure novel online & offline metrics for personal digital assistants and customer scenarios on diverse devices and endpoints
- Create innovate and deliver deep learning policy-based learning and/or machine learning-based algorithms to deliver customer-impacting results
- Perform model/data analysis and monitor metrics through online A/B testing
- 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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136000/year in our lowest geographic market up to $223400/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 This position will remain posted until filled. Applicants should apply via our internal or external career site.
Key Skills
- Laboratory Experience
- Immunoassays
- Machine Learning
- Biochemistry
- Assays
- Research Experience
- Spectroscopy
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Data Analysis Skills
About Company
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