Principal Applied Scientist, Products and Brands

Description

The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through industry‑leading generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across  and beyond. We are at the forefront of reinventing 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 Sponsored Brands team at Amazon is building the next generation of brand advertising products and platforms for advertisers using Gen AI. This role presents an opportunity to join us at the ground floor of this transformation, a core part of Amazon’s overall business strategy.

You will be the Gen AI applied science leader who determines what products and ads appear in the most critical ad placements across Amazon. You will have opportunities to deliver at the highest technical level, working with science, product, engineering, and UX teams, all directly connected to a marketplace of supply and demand. In this highly visible role you will collaborate across multiple stakeholders within Ads and Retail.

We are seeking a Gen AI applied science inventor who has strong product sense with a proven track record of hands‑on science vision and execution while building high‑impact products from the ground up. You will apply your deep subject‑matter expertise in ML, LLM, and GenAI models, inventing new product experiences that enable novel advertiser and shopper interactions. This role will work on bringing state‑of‑the‑art GenAI models to production, defining the long‑term science vision for our advertising business driven by customer needs, and translating it into actionable plans for our team of applied scientists and engineers.

We are on a mission to make Amazon the best‑in‑class destination for shoppers to discover, engage, and purchase relevant products from brands that matter to them. In this role you will design and implement Gen AI solutions that help millions of advertisers create more effective ad campaigns with intelligent recommendations while improving the overall experience at Amazon’s global scale.

Our team invents, defines, and delivers advertising products that drive brand discovery and sales. Our solutions generate billions in revenue and drive long‑term growth for Amazon Store businesses. We deliver billions of ad impressions, millions of clicks daily, and break fresh ground to create world‑class products. We are a highly motivated, fast‑paced, and collaborative team with an entrepreneurial spirit.

• Manage projects at all stages—initiation, design, development, deployment, and improvement—ensuring customer and business goals are met.
• Tackle challenging problems and coordinate high‑profile projects across multiple teams to streamline execution.
• Interface across product, science, and engineering teams within the advertising and retail organizations.
• Drive mechanisms that allow the team to move quickly and deliver strong results, operating with a high degree of autonomy and efficiency.
• Prioritize, plan projects and features, manage partners, and track external commitments.
• Recommend alternative technical approaches and partner with product, science, and engineering teams to meet timelines.
• Actively role‑model the use of GenAI to make the team more efficient.

• PhD in Electrical Engineering, Computer Science, Mathematics, or a related technical field.
• 7+ years of experience with Data & AI technologies, including AI/ML, GenAI, analytics, database, and/or storage.
• Experience designing or architecting new and existing systems, focusing on design patterns, reliability, and scaling.
• 7+…