Job Description

- 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


Alexa International Tech (AIT) team is looking for a passionate and outcome-driven Applied Science Manager to lead the science team behind some of Alexa's 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

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.


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