Applied Science Manager, Personalization

Are you a scientist interested in pushing the state of the art in Information Retrieval Large Language Models and Recommendation Systems Are you interested in innovating on behalf of millions of customers helping them accomplish their every day goals Do you wish you had access to large datasets and tremendous computational resources Do you want to join a team of capable scientist and engineers building the future of e-commerce Answer yes to any of these questions and you will be a great fit for our team at Amazon.

Our team is part of Amazons Personalization organization a high-performing group that leverages Amazons expertise in machine learning generative AI large-scale data systems and user experience design to deliver the best shopping experiences for our customers. Our team is building next-generation personalization systems powered by Large Language Models. We are tackling novel research challenges to help customers discover products theyll love - at Amazon scale and latency requirements. We are a team uniquely placed within Amazon to have a direct window of opportunity to influence how customers will think about their shopping journey in the future.

As an Applied Science Manager you will lead a team of scientists working at the frontier of LLM-based personalization. You will set the technical vision drive the research agenda and ensure your team delivers production-ready solutions. You will hire mentor and develop world-class scientists while fostering a culture of innovation and scientific rigor. You will partner closely with engineering and product teams to translate ambitious research into customer-facing impact and represent your teams work to senior leadership.

Please visit for more information.

- PhD or Masters degree and 6 years of applied research experience
- 3 years of scientists or AI/machine learning engineers management experience
- 3 years of experience leading teams that build and deploy ML models for business applications
- Experience leading applied research in one or more of: Recommendation Systems Information Retrieval NLP or Large Language Models
- Demonstrated ability to think strategically communicate effectively (written and verbal) with senior leadership and drive cross-team collaboration

- Experience with LLM training fine-tuning or adaptation (e.g. tokenizer modification domain adaptation)
- Experience with sequential recommendation user intent/mission modeling or behavioral modeling

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.