Senior GenAI Ads Scientist – Off-Search & Personalization

Amazon; Seattle, Northern (WA, KY); Hybrid; USD 167,000 - 226,000; Full time

Job summary

Amazon’s SPB Off-Search team is seeking an Sr. Applied Scientist to redesign how ads contribute to personalized, context-aware shopping experiences beyond search.

You will work on GenAI, reinforcement learning, and multi-objective optimization to improve ad retrieval, allocation, and whole-page relevance across surfaces. You’ll collaborate with engineers, product managers, and other scientists to deploy production-ready ML solutions at scale, influence experimentation, and shape the future of

Qualifications

• 3+ years of building machine learning models for business application experience.
• PhD, or Master's degree and 6+ years of applied research experience.
• Experience programming in Java, C++, Python or related language.
• Experience with neural deep learning methods and machine learning.

Responsibilities

• 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.

Skills

ML model development

Programming (Java/C++/Python)

Deep learning

Education

PhD or MS + 6+ years applied research

Tools

MxNet

TensorFlow

Hadoop

Spark

Job description

Amazon’s SPB Off-Search team is seeking an Sr. Applied Scientist to redesign how ads contribute to personalized, context-aware shopping experiences beyond search.

You will work on GenAI, reinforcement learning, and multi-objective optimization to improve ad retrieval, allocation, and whole-page relevance across surfaces. You’ll collaborate with engineers, product managers, and other scientists to deploy production-ready ML solutions at scale, influence experimentation, and shape the future of