Job Description

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.
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