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Applied Science Manager, Personalization (LLM)

Формат работы
onsite
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
Israel
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Applied Science Manager, Personalization (LLM): Leading the development of next-generation personalization systems powered by Large Language Models for e-commerce at Amazon scale with an accent on recommendation systems, information retrieval, and applied research. Focus on setting technical vision, guiding LLM-based personalization research, deploying production-ready ML solutions, and developing a team of scientists.

Location: Haifa, Israel

Company

Amazon's Personalization organization develops machine learning, generative AI, large-scale data systems, and user experience solutions for e-commerce.

What you will do

  • Lead a team of scientists working on LLM-based personalization systems.
  • Set the technical vision and drive the applied research agenda.
  • Guide the development and deployment of production-ready ML solutions for customer-facing personalization.
  • Hire, mentor, and develop scientists while fostering scientific rigor and innovation.
  • Partner with engineering and product teams to translate research into customer impact.
  • Present the team's work and technical direction to senior leadership.

Requirements

  • PhD or equivalent research experience, or a master's degree.
  • At least 3 years of experience managing scientists or machine learning engineers.
  • At least 3 years of experience leading teams that build and deploy ML models for business applications.
  • Applied research leadership experience in recommendation systems, information retrieval, NLP, or Large Language Models.
  • Strategic thinking, effective written and verbal communication, and cross-team collaboration skills.

Nice to have

  • Experience with LLM training, fine-tuning, or adaptation, including tokenizer modification or domain adaptation.
  • Experience with sequential recommendation, user intent or mission modeling, or behavioral modeling.

Culture & Benefits

  • Access to large datasets and substantial computational resources.
  • Opportunity to work on research challenges affecting millions of e-commerce customers.
  • Inclusive culture supporting workplace accommodations during the application and hiring process.

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