Senior GenAI Scientist, Ads Personalization

Amazon Inc.; Seattle (WA); Presencial; USD 150.000 - 230.000; Jornada completa

Descripción de la vacante

Amazon Ads is seeking an Applied Scientist on the SPB Off-Search team to drive GenAI and LLM-based innovations that transform ad retrieval, allocation and personalization across product surfaces. You will work with scientists, engineers, and product managers to deliver scalable, production-ready AI solutions that impact millions of customers and advertisers.

You will stay current with GenAI trends, experiment with new models, and mentor junior teammates while collaborating across teams to raise

Responsabilidades

• Contribute to the design and development of GenAI, deep learning, multi-objective optimization and/or reinforcement learning empowered solutions to transform ad retrieval, auctions, whole-page relevance, and/or bespoke shopping experiences.
• Collaborate cross-functionally with other scientists, engineers, and product managers to bring scalable, production-ready science solutions to life.
• Stay abreast of industry trends in GenAI, LLMs, and related disciplines, bringing fresh and innovative concepts, ideas, and prototypes to the organization.
• Contribute to the enhancement of team’s scientific and technical rigor by identifying and implementing best-in-class algorithms, methodologies, and infrastructure that enable rapid experimentation and scaling.
• Mentor and grow junior scientists and engineers, cultivating a high-performing, collaborative, and intellectually curious team.

Descripción del empleo

Amazon Ads is seeking an Applied Scientist on the SPB Off-Search team to drive GenAI and LLM-based innovations that transform ad retrieval, allocation and personalization across product surfaces. You will work with scientists, engineers, and product managers to deliver scalable, production-ready AI solutions that impact millions of customers and advertisers.

You will stay current with GenAI trends, experiment with new models, and mentor junior teammates while collaborating across teams to raise