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 Alexa's 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 Senior 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 a Senior 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 (LLM's), 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
Amazon’s 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
Basic Qualifications: - 3+ years of building machine learning models for
business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning Preferred
Qualifications: - Solid Machine Learning background and familiar with SOTA
machine learning techniques
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
https://amazon.jobs/content/en/how-we-hire/accommodations
[https://amazon.jobs/content/en/how-we-hire/accommodations] for more
information. If the country/region you’re applying in isn’t listed, please
contact your Recruiting Partner.
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.
