Senior GenAI Scientist — Multi-Agent Seller AI

Amazon Inc.; Bellevue (WA); On-site; USD 167,000 - 226,000; Full time

Benefits offered by this job

Sign-on bonus

RSUs

Health insurance

Job summary

Amazon.com Services LLC in Bellevue, WA is seeking a Senior Applied Scientist to advance GenAI in FBA AI Science & Analytics. You’ll own end-to-end GenAI architectures, work on high-impact ML for seller operations, and influence product and engineering decisions at scale.

You will collaborate across teams to deploy models, shape a long-term science vision, and translate customer needs into concrete plans for scientists and engineers.

Qualifications

• PhD, or Master's degree and 5+ years of applied research experience
• 5+ years of building machine learning models for business application experience
• Experience programming in Java, C++, Python or related language
• Knowledge of programming languages such as C/C++, Python, Java or Perl
• Expertise in deep learning, machine learning, and GenAI

Responsibilities

• Design, build and deploy FBA’s GenAI architectures end to end.
• Apply state-of-the-art ML and GenAI solve diverse business problems across seller supply chain systems.
• Define the team’s long-term science vision and roadmap, driven fundamentally from our customers' needs, translating those directions into specific plans for scientists, engineers, and product partners.
• Partner closely with scientists and software engineers to drive real-time model implementations and deliver high-impact features.
• Establish scalable, efficient, automated processes for large scale data analyses, model benchmarking, model evaluation and model implementation.
• Advocate the right ML solutions to business stakeholders, engineering teams, as well as executive level decision makers

Skills

GenAI

Deep learning

Java

Python

C++

ML for business

Education

PhD or Master's degree

Tools

Perl

Job description

Amazon.com Services LLC in Bellevue, WA is seeking a Senior Applied Scientist to advance GenAI in FBA AI Science & Analytics. You’ll own end-to-end GenAI architectures, work on high-impact ML for seller operations, and influence product and engineering decisions at scale.

You will collaborate across teams to deploy models, shape a long-term science vision, and translate customer needs into concrete plans for scientists and engineers.