Amazon Principal Applied Scientist Amazon Music Machine Learning Personalization 

United States, California, San Francisco 

30661376

Key job responsibilities
Key job responsibilities
• As a technical leader, you will guide teams of scientists and engineers in translating complex business and functional requirements into tangible, high-impact deliverables.
• Drive innovation by applying advanced ML techniques in recommendation systems, search algorithms, and marketing optimization.
• Provide thought leadership and guidance to push the boundaries of what’s possible with Generative AI in entertainment.
• Represent Amazon Music at both internal and external scientific conferences, collaborating closely with teams across Amazon, including Retail, Prime Video, AGI, and AWS, to advance the state of AI/ML research and its applications.
• Build and nurture partnerships with academic institutions to ensure our teams have access to the latest research and mentoring opportunities.

• PhD in Computer Science/Math or a related field
• 10+ years’ industry/academic experience in building machine learning models
• Strong familiarity with Gen AI for foundational models and Large Language Models
• Demonstrated track record of peer-reviewed scientific publications that advance state-of-the art applied science

• Computer Science fundamentals in Computer Vision and DL across modeling, data structures, algorithm design and complexity analysis
• The ability to Think Big, Dive Deep and Learn & Be Curious to provide strategic direction to various entertainment teams across Amazon
• The leadership and interpersonal skills necessary to excel in influence-based roles, with or without direct authority, while working closely with internal and external partners in leading science efforts to meet aggressive timelines with optimal solutions
• A demonstrated track record of project delivery for large, cross-functional projects with evolving requirements.
• Ability to take a project from requirements gathering and design to actual product launch.Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.