Senior Applied Scientist, AI for Seller Growth

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

Job summary

Amazon is seeking a Senior Applied Scientist to lead data-driven improvements in Selling Partner recruitment and success. You will craft ML/GenAI solutions, translate opportunities into scientific problems, and collaborate with engineering, research, and business teams to productionize AI-infused experiences for sellers.

You will guide a team of scientists, ensure technical rigor in ML Ops, and publish findings while advancing Amazon's research agenda across internal and external communities.

Qualifications

• 4+ years of applied research experience.
• 3+ years of building ML models for business applications.
• 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

• Identify opportunities to improve SP growth and translate into science problems via principled statistical solutions (ML, RL, GenAI and Agentics).
• Mentor and guide the applied scientists with high technical rigor and excellence in MLOps.
• Design and lead roadmaps for complex science projects to improve selling experience and long-term value for shoppers.
• Collaborate with engineering partners to meet latency and system constraints.
• Identify high-risk technical directions and simulate new research directions to drive to completion.
• Communicate science innovations to internal and external scientific communities.

Skills

Applied research

Machine learning

Programming (Java/C++)

Communication of insights

Education

PhD or MS with experience

Tools

Java

C++

Python

Neural networks

Job description

Amazon is seeking a Senior Applied Scientist to lead data-driven improvements in Selling Partner recruitment and success. You will craft ML/GenAI solutions, translate opportunities into scientific problems, and collaborate with engineering, research, and business teams to productionize AI-infused experiences for sellers.

You will guide a team of scientists, ensure technical rigor in ML Ops, and publish findings while advancing Amazon's research agenda across internal and external communities.