Senior AI Scientist — Discovery & Personalization Systems

Amazon Web Services (AWS); Seattle (WA); On-site; USD 167,100 - 226,100; Full time

Job summary

Amazon Web Services (AWS) is seeking an Applied Scientist for AI-Powered Discovery within the AWS Marketplace team in Seattle. You will translate complex research into scalable, customer-focused solutions, focusing on personalization, search, and recommendations while mentoring others to foster innovation.

Collaborate with Product and Engineering leaders to translate scientific advances into customer value, helping shape next-generation discovery tools across cloud ecosystems and geographies.

Qualifications

• 3+ years of building machine learning models or developing algorithms for business applications
• Experience programming in Java, C++, Python or related language
• Experience working on recommender systems or personalization within search, e-commerce, shopping, advertising or other related fields

Responsibilities

• Lead the research, design, and development of advanced AI/ML systems for information retrieval and personalized recommendation systems
• Identify and evaluate emerging scientific techniques and technologies, translating research into practical, scalable solutions
• Drive evaluation and hypothesis testing to continuously improve performance and relevance of search and recommendation systems
• Collaborate with cross-functional teams, such as Product and Engineering leaders, to translate scientific innovations into customer value
• Mentor Scientists and influence scientific approach across the organization

Skills

ML models

Programming languages

Recommender systems

Education

PhD or Master with 5+ yrs exp

Job description

Amazon Web Services (AWS) is seeking an Applied Scientist for AI-Powered Discovery within the AWS Marketplace team in Seattle. You will translate complex research into scalable, customer-focused solutions, focusing on personalization, search, and recommendations while mentoring others to foster innovation.

Collaborate with Product and Engineering leaders to translate scientific advances into customer value, helping shape next-generation discovery tools across cloud ecosystems and geographies.