Senior GenAI Scientist: Multi-Agent Systems for Sellers

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

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

RSUs

Job summary

Amazon in Bellevue, WA is seeking a Senior Applied Scientist to advance GenAI in seller-facing systems across Fulfillment by Amazon. You will own end-to-end GenAI architectures and work with a cross-functional team of scientists, engineers, and product managers.

The role focuses on large-scale, production-grade agentic capabilities, with responsibilities across supervised and unsupervised learning, reinforcement learning, and real-time model implementations that impact inventory, inbound

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

Java

C++

Python

GenAI

Deep learning

Education

PhD

Master's degree

Job description

Amazon in Bellevue, WA is seeking a Senior Applied Scientist to advance GenAI in seller-facing systems across Fulfillment by Amazon. You will own end-to-end GenAI architectures and work with a cross-functional team of scientists, engineers, and product managers.

The role focuses on large-scale, production-grade agentic capabilities, with responsibilities across supervised and unsupervised learning, reinforcement learning, and real-time model implementations that impact inventory, inbound