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Applied Science Manager, Alexa International Tech

Applied Science Manager, Alexa International Tech

ADCI - Karnatakabangalore, India
9 hours ago
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 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.

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