Manager Applied Science Conversational Assistant Services Conversation Assistant Services - Alexa AI

The AI Domains org within the Alexa Conversational Assistants Services (CAS) org is looking for an Applied Science Manager with a background in Natural Language Processing Machine/Deep Learning and Large Language Models (LLMs). You will be working with a team of Applied and Research Scientists to enhance existing features and explore new possibilities with LLM empowerment. You will own high visibility programs with broad visibility and global impact. You will interact with a crossfunctional team of Science Product and Engineering leaders.

We are looking for an Applied Science Manager who will play a key role in the next generation of AI powered Conversational Assistants.


Key job responsibilities
* Lead and manage a team of Applied and Research/Data scientists responsible for building conversational assistants.
* Collaborate with crossfunctional teams to build methods to align Amazons LLMs with human preferences.
* Identify and prioritize research opportunities that have the potential to significantly impact our AI systems.
* Mentor and guide team members to achieve their career goals and objectives.
* Communicate research findings and progress to senior leadership and stakeholders.
* Rapidly experiment and drive productisation to deliver customer impact.
* Drive academic partnership with top tier Indian university as part of the orgs AI/ML Center initiative.
* Participate in and drive science publications in peerreviewed venues of repute.

About the team
The AI Domains teams vision is to build worldclass AIbased services to improve conversational CX across endpoints modalities and locales. Our leading solutions empower Domains and Horizontal CX owners to rapidly scale and optimize their experiences. We are part of the Conversational Assistant (CAS) org the Sciences org that builds and maintains products such as Alexa and Alexa. We are pioneering Gen AI revolution rapidly iterating to deliver high quality Gen AI enabled customer experience. Come join us to invent the future for our customers!

Masters degree in engineering technology computer science machine learning robotics operations research statistics mathematics or equivalent quantitative field
5 years of scientists or machine learning engineers management experience
Knowledge of ML NLP Information Retrieval and Analytics
Experience building complex highlyscalable systems that involve predictive models or applications of machine learning
Familiarity with largescale data processing and storage systems.
Excellent communication and interpersonal skills.
Ability to work in a fastpaced collaborative environment

Experience building machine learning models or developing algorithms for business application
Experience building complex software systems especially involving deep learning machine learning and computer vision that have been successfully delivered to customers
PHD and Experience with building applications using Large language models
Experience in patents or publications at toptier peerreviewed conferences or journals
Experience with popular deep learning frameworks
Experience with learning multimodal LLMs and Gen AI

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.