Applied Scientist, Alexa Smart Properties

Amazon

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profile Job Location:

Seattle, OR - USA

profile Monthly Salary: Not Disclosed
Posted on: Yesterday
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 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 electronic devices.

AE team is looking for a 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 designing experiments and statistical analysis of results experience
- Experience programming in Java C Python or related language
- Knowledge of standard speech and machine learning techniques

- Experience in designing experiments and statistical analysis of results
- Have publications on top-tier conferences such as CVPR ICCV ECCV or NeurIPS
- Experience applying theoretical models in an applied environment

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 range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience qualifications and location. Amazon also offers comprehensive benefits including health insurance (medical dental vision prescription Basic Life & AD&D insurance and option for Supplemental life plans EAP Mental Health Support Medical Advice Line Flexible Spending Accounts Adoption and Surrogacy Reimbursement coverage) 401(k) matching paid time off and parental leave. Learn more about our benefits at WA Seattle - 142800.00 - 193200.00 USD annually


Required Experience:

IC

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...
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Key Skills

  • Laboratory Experience
  • Immunoassays
  • Machine Learning
  • Biochemistry
  • Assays
  • Research Experience
  • Spectroscopy
  • Research & Development
  • cGMP
  • Cell Culture
  • Molecular Biology
  • Data Analysis Skills

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