Principal Applied Scientist, Amazon - Sponsored Products

Amazon•Seattle, WA

About The Position

The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through advanced generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising. The principal scientist in this position will focus on designing, developing and launching innovative ad experiences delivered to shoppers in conversational contexts. Our team utilizes leading-edge science and engineering technologies in generative AI to help shoppers discover new products and brands through intuitive, conversational interfaces. We also empower advertisers to reach shoppers, using their own voice to explain how their products meet shoppers' needs. We collaborate with various teams across multiple Amazon organizations to push the boundary of what's possible in these fields. Key job responsibilities As a Principal Applied Scientist for the team, you will drive appropriate technology choices for the customers and the business, lead the way for continuous innovation, and shape the future of e-commerce. You will have opportunity to apply your deep subject matter expertise in the area of large language models and generative AI across various modalities. You will work with multiple teams of scientists and engineers to translate business and functional requirements into concrete deliverables. You will invent new product experiences that enable our shoppers to easily navigate our vast inventory either via search queries, multi-turn conversations, or other modes of input. You will liaise with internal Amazon partners and work on bringing state-of-the-art GenAI models to production to power novel conversational experiences. You will stay abreast of the latest developments in the space of GenAI and identify opportunities to improve the efficiency and productivity of the team. You will contribute to defining a long-term science vision for our advertising business in the area of conversational shopping and beyond.

Requirements

PhD in Computer Science, Statistics or related field.
10+ years of applied ML experience in building complex, real-time systems involving AI, ML, and NLP with successful delivery to customers.
Hands-on experience with designing and prototyping AI solutions for real world applications.
Research publications or patents in generative AI technologies
Experience with natural language processing and generative model architectures

Nice To Haves

Background in advertising technology or e-commerce platforms
Demonstrated track record of innovative AI solution development
Experience with advertising systems and applications.

Responsibilities

Drive appropriate technology choices for the customers and the business
Lead the way for continuous innovation
Shape the future of e-commerce
Apply your deep subject matter expertise in the area of large language models and generative AI across various modalities
Work with multiple teams of scientists and engineers to translate business and functional requirements into concrete deliverables
Invent new product experiences that enable our shoppers to easily navigate our vast inventory either via search queries, multi-turn conversations, or other modes of input
Liaise with internal Amazon partners and work on bringing state-of-the-art GenAI models to production to power novel conversational experiences
Stay abreast of the latest developments in the space of GenAI and identify opportunities to improve the efficiency and productivity of the team
Contribute to defining a long-term science vision for our advertising business in the area of conversational shopping and beyond