Applied Science Manager , Alexa International Tech
Applied Science Manager , Alexa International Tech
Posted on :
25-07-2025
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1 Vacancy
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Job Description
Alexa International Tech (AIT) team is looking for a passionate and outcome-driven Applied Science Manager to lead the science team behind some of Alexas industry-leading technology. The team is focused on delivering exceptional digital personal assistance (Alexa ) experience for international customers using state of the art techniques in Large Language Models (LLMs) and multimodal systems.
Key job responsibilities
As an Applied Science Manager in AIT you will:
* Lead and grow a team of Applied Scientists working to develop and evolve Large Language models powering Alexa for international locales and languages
* Define and execute on science roadmap for the team working backwards from customer needs business priorities and science capabilities
* Drive the development of scalable multi-lingual NLP and LLM solutions and develop frameworks to evaluate various aspects of LLM performance
* Partner with engineering teams to implement production-ready scientific solutions
* Recruit mentor and develop top scientific talent
* Foster a culture of innovation while maintaining high scientific standards
* Review and provide guidance on experimental design methodology implementation and continuous improvement of science solutions
* Collaborate with product engineering and business teams to continuously improve customer experience
A day in the life
* Review key metrics goals and project progress from your team
* Provide direction and guidance to your team and unblock or coarse correct as need be to ensure science solutions are on track and delivered with high quality.
* Actively participate and contribute to launch readiness forums leadership reviews and technical design reviews.
* Meet with product managers to align on roadmap priorities and scientific requirements
* Provide technical mentorship to team members on their projects
* Review and give feedback on scientific documentation and methodology
* Collaborate with engineering partners on implementation approaches
* Lead team meetings focused on scientific innovation and best practices
* Contribute through industry first research to drive the innovation forward.
* Engage with the broader Amazon science community to share learnings and stay current with latest developments
- 4 years of scientists or machine learning engineers management experience
- Knowledge of ML NLP Information Retrieval and Analytics
- 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
- Experience developing and evaluating production level Large Language Models and Gen AI applications.
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.
Key job responsibilities
As an Applied Science Manager in AIT you will:
* Lead and grow a team of Applied Scientists working to develop and evolve Large Language models powering Alexa for international locales and languages
* Define and execute on science roadmap for the team working backwards from customer needs business priorities and science capabilities
* Drive the development of scalable multi-lingual NLP and LLM solutions and develop frameworks to evaluate various aspects of LLM performance
* Partner with engineering teams to implement production-ready scientific solutions
* Recruit mentor and develop top scientific talent
* Foster a culture of innovation while maintaining high scientific standards
* Review and provide guidance on experimental design methodology implementation and continuous improvement of science solutions
* Collaborate with product engineering and business teams to continuously improve customer experience
A day in the life
* Review key metrics goals and project progress from your team
* Provide direction and guidance to your team and unblock or coarse correct as need be to ensure science solutions are on track and delivered with high quality.
* Actively participate and contribute to launch readiness forums leadership reviews and technical design reviews.
* Meet with product managers to align on roadmap priorities and scientific requirements
* Provide technical mentorship to team members on their projects
* Review and give feedback on scientific documentation and methodology
* Collaborate with engineering partners on implementation approaches
* Lead team meetings focused on scientific innovation and best practices
* Contribute through industry first research to drive the innovation forward.
* Engage with the broader Amazon science community to share learnings and stay current with latest developments
- 4 years of scientists or machine learning engineers management experience
- Knowledge of ML NLP Information Retrieval and Analytics
- 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
- Experience developing and evaluating production level Large Language Models and Gen AI applications.
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.
Required Experience:
Manager
Employment Type
Full-Time
Key Skills
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