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Applied Science Manager, Personalization (LLM)
Мэтч & Сопровод
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Описание вакансии
Текст:
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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