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 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 Basic Qualifications - 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 Preferred Qualifications - 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 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.