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DESCRIPTION

Amazon Advertising is one of Amazon's fastest growing and most profitable businesses, responsible for defining and delivering a collection of advertising products that drive discovery and sales. As a core product offering within our advertising portfolio, Sponsored Products (SP) helps merchants, retail vendors, and brand owners succeed via native advertising, which grows incremental sales of their products sold through Amazon. The SP organization's primary goals are to help shoppers discover new products they love, be the most efficient way for advertisers to meet their business objectives, and build a sustainable business that continuously innovates on behalf of customers. Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive long-term growth. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day!

Our team, SP Off-Search Supply Expansion and Creative (SPEC) team is responsible for Sponsored Products experiences expansion for store display placements, 1P surfaces such as Home Page, Checkout pages like HUC, TYP, Cart and shared placements on AAX owner slots. The team also owns UX for all Off Search placements. Spec owns SP Firebird Core Infra team working on SP creative optimization and personalized ASIN faceout

We are looking for a passionate Senior Applied Scientist who has technical expertise in information retrieval, Natural Language Processing (NLP), and Large Language Models (LLM). In addition to having hands-on experience in building ML-based solutions, an ideal candidate should be able to create and articulate a customer-centric science vision, show willingness to continuously learn about new scientific approaches, and enjoy operating in startup-like environment.

Key job responsibilities
• Lead business, science and engineering strategy and roadmap for Sponsored Products Off-Search Supply Expansion and Creative optimization.
• Drive alignment across organizations for science, engineering, and product strategy to achieve business goals.
• Lead/guide scientists and engineers across teams to develop, test, launch and improve of science models designed to optimize the shopper experience and deliver long term value for Amazon and advertisers
• Develop state of the art experimental approaches and ML models.