Are you ready to be at the forefront of Agentic AI innovation and redefine the
future of communication? Join our dynamic Alexa Connections team as a Sr.
Applied Scientist, and lead futuristic initiatives that will shape the next
generation of intelligent, conversational experiences. In this role, you'll work
at the intersection of disruptive AI technologies and real-world impact, making
a difference for millions of customers. You'll collaborate with a team of
passionate professionals who are as excited about innovation as you are, and
together, you'll push the boundaries of what's possible with Alexa+.
As a Sr. Applied Scientist, you'll drive the development of novel algorithms and
modeling techniques to advance the state of the art with LLMs and real-time
Agentic AI solutions that power our next-generation communication features.
You'll work closely with cross-functional teams, including product management,
engineering, design, and data, to design and deliver innovative solutions that
leverage these AI technologies to enable seamless, intelligent communication
experiences. You'll also lead the integration of these advanced AI systems into
Alexa's core capabilities, ensuring a seamless and intuitive user experience.
Key job responsibilities
- Develop new inference and training techniques to improve the performance of
Large Language Models for Smart Home control and Automation
- Develop robust techniques for synthetic data generation for training large
models and maintaining model generalization
- Research, experiment and build Proof Of Concepts advancing the state of the
art in AI & ML for GenAI.
- Collaborate with cross-functional teams to architect and execute technically
rigorous AI projects.
- Thrive in dynamic environment, adapting quickly to evolving technical
requirements and deadlines.
- Engage in effective technical communication (written & spoken) with
coordination across teams.
- Conduct thorough documentation of algorithms, methodologies, and findings for
transparency and reproducibility.
- Publish research papers in internal and external venues of repute
- Support on-call activities for critical issues
- Mentoring junior scientists to improve their skills, knowledge, and their
ability to get things done
About the team
Alexa Connections aspires to make Alexa+ the world’s most trusted connection
assistant for getting things done and creating moments of joy. Our vision
emphasizes a) Trust as our foundation for becoming a daily habit, knowing our
customers have plentiful choices, b) Completion of end-to-end customer journeys,
beyond shipping features, and c) Joy through personalized, proactive
experiences, that create a memory.
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: - Experience with modeling tools such as R, scikit-learn, Spark
MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Experience with large scale distributed systems such as Hadoop, Spark etc.
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.
