When customers search for products on the Amazon website, they often see brand advertisements displayed right below the search bar. These ads are part of the Sponsored Brands (SB) program. Our team, the SB Search and Relevance team, works on solving challenges to retrieve the most relevant ads for a customer's search query. A customer's search query is typically a short, free-form text consisting of just a few words. Our algorithm needs to understand the customer's underlying intention from this limited information. At the same time, each advertisement consists of various elements like text descriptions, images, videos, and more. Our algorithm also needs to comprehend the content of these ads and identify the most relevant one from the large pool of ad candidates.
As Amazon's advertising business is growing rapidly, we are looking for experienced applied scientists. As an Applied Scientist on this team, you will:
- Drive end-to-end Machine Learning projects that have a high degree of ambiguity, scale, complexity.
- Apply deep learning and natural language processing to improve information retrieval and relevance.
- Design and run A/B experiments. Evaluate the impact of your optimizations and communicate your results to various business stakeholders.
- Optimize deep learning inference latency by utilizing methods like knowledge distillation.
- Work with software development engineers and write code to bring models into production.
- Recruit Applied Scientists to the team and provide mentorship.
Impact and Career Growth
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You will invent new experiences and influence customer-facing shopping experiences to help suppliers grow their retail business and the auction dynamics that leverage native advertising; this is your opportunity to work within the fastest-growing businesses across all of Amazon!
- Define a long-term science vision for our advertising business, driven fundamentally from our customers' needs, translating that direction into specific plans for research and applied scientists, as well as engineering and product teams.
This role combines science leadership, organizational ability, technical strength, product focus, and business understanding.
