Senior Applied Scientist, GenAI for Personalized Ads

Amazon; Seattle (WA); On-site; USD 167,000 - 226,000; Full time

Job summary

Amazon announces a Sr. Applied Scientist role in Seattle focused on Sponsored Products Off-Search Sourcing. You will drive GenAI and deep learning models to improve ad retrieval, relevance, and personalized experiences across surfaces beyond search.

You will collaborate with cross-functional teams, mentor junior researchers, and stay ahead on LLMs and AI advances, delivering production-ready science that scales with Amazon’s massive data and customer base.

Qualifications

• 3+ years of ML model development for business applications.
• PhD or Master’s with 6+ years of applied research.
• Proficient in Java, C++, Python.
• Experience with neural deep learning methods.

Responsibilities

• Design and develop GenAI and ML solutions for ad retrieval and auctions.
• Collaborate with scientists, engineers, and PMs to deploy scalable research.
• Stay current with GenAI, LLMs; bring innovative concepts.
• Enhance scientific rigor by selecting best algorithms and infrastructure.
• Mentor junior scientists and engineers.

Skills

3+ years ML modeling

PhD or MS + 6+ yrs exp

Java, C++, Python

Neural deep learning

Education

PhD or Master's degree

Tools

MxNet

TensorFlow

Job description

Amazon announces a Sr. Applied Scientist role in Seattle focused on Sponsored Products Off-Search Sourcing. You will drive GenAI and deep learning models to improve ad retrieval, relevance, and personalized experiences across surfaces beyond search.

You will collaborate with cross-functional teams, mentor junior researchers, and stay ahead on LLMs and AI advances, delivering production-ready science that scales with Amazon’s massive data and customer base.