Senior Applied Scientist, Products and Brands

The Sponsored Products and Brands team at Amazon Ads is re‑imagining the advertising landscape through novel generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across  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 ecosystem. 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.

• Develop AI solutions for Sponsored Brands advertiser and shopper experiences. Build recommendation systems that leverage generative models to develop and improve campaigns.
• Invent and design new solutions for scientifically‑complex problem areas and/or opportunities in new business initiatives.
• Drive or heavily influence the design of scientifically‑complex software solutions or systems, for which you personally write significant parts of the critical scientific novelty. Take ownership of these components, providing a system‑wide view and design guidance.
• Define a long‑term science vision and roadmap for our Sponsored Brands advertising business, driven from our customers’ needs, translating that direction into specific plans for applied scientists and engineering teams. This role combines science leadership, organizational ability, technical strength, product focus, and business understanding.
• Work closely with engineers and product managers to design, implement and launch AI solutions end‑to‑end.
• Design and conduct A/B experiments to evaluate proposed solutions based on in‑depth data analyses.
• Think big about the arc of development of Gen AI over a multi‑year horizon, and identify new opportunities to apply these technologies to solve real‑world problems.
• Effectively communicate technical and non‑technical ideas with teammates and stakeholders.
• Translate complex scientific challenges into clear and impactful solutions for business stakeholders.
• Mentor and guide junior scientists, fostering a collaborative and high‑performing team culture.
• Stay up‑to‑date with advancements and the latest modeling techniques in the field.

The Sponsored Brands Impressions‑based Offerings team is responsible for evolving the value proposition of Sponsored Brands to drive brand advertising in retail media at scale, helping brands get discovered, acquire new customers and sustainably grow customer lifetime value. We build end‑to‑end solutions that enable brands to drive discovery, visibility and share of voice. This includes building advertiser controls, shopper experiences, monetization strategies and optimization features.

We succeed when shoppers discover, engage and build affinity with brands and when brands can grow their business at scale with our advertising products.

• 3+ years of building machine learning models for business application experience
• PhD, or Master’s degree and 6+ years of applied research experience
• Experience programming in Java, C++, Python or related language
• Experience with neural deep learning methods and machine learning
• Deep curiosity and basic knowledge on Gen AI

• Experience with modeling tools such as R, scikit‑learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
• Experience with large scale distributed systems such as Hadoop, Spark etc.
• Previous work on agents or LLMs

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the…