Applied Science Manager – Personalization

About the role

Amazon’s Personalization organization is building next‑generation shopping experiences using Large Language Models, recommendation systems and information retrieval. As an Applied Science Manager you will lead a team of scientists at the frontier of LLM‑based personalization, turning cutting‑edge research into production‑ready solutions for millions of customers.

Key responsibilities

• Set technical vision and drive the research agenda for LLM‑powered personalization.
• Hire, mentor, and develop world‑class scientists while fostering a culture of innovation and scientific rigor.
• Partner closely with engineering and product teams to translate research into customer‑facing impact.
• Ensure solutions meet Amazon’s scale and latency requirements and represent the team’s work to senior leadership.

Required profile

• PhD or equivalent research experience, or a Master’s degree.
• 3+ years of experience managing scientists or machine‑learning engineers.
• 3+ years of building machine‑learning models for business applications.
• Proven experience leading applied research in recommendation systems, information retrieval, NLP or large language models.
• Strong strategic thinking, written and verbal communication, and cross‑team collaboration skills.

Required skills

• Large Language Models (LLM training, fine‑tuning, tokenizer modification, domain adaptation).
• Recommendation Systems.
• Information Retrieval.
• Natural Language Processing (NLP).
• Machine Learning model development and deployment.