Senior 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!

We are looking for a talented Sr. Applied Scientist to join the Global Optimization science team at the forefront of advertising technology innovation. Work backwards from emerging markets to reimagine Amazon’s advertising stack from the ground up, leveraging multilingual and multimodal GenAI technologies—including semantic hashing, LLMs, and more—to deliver solutions that scale to non‑US marketplaces from day one. This is an opportunity to prototype, invent, and ship state‑of‑the‑art solutions that will define the future of digital advertising.

The ideal candidate combines entrepreneurial drive with deep technical expertise, thriving in ambiguous, fast‑moving environments where you define the path forward with minimal structure. Our team regularly goes from ideas on the whiteboard to production‑grade experiments. Your customer obsession fuels your passion for translating science into real‑world value for millions of advertisers and customers worldwide.

• Architect next‑generation systems that replace legacy monolithic infrastructure with scalable, intelligent solutions that scale worldwide on day one.
• Pioneer breakthrough applied science in multimodal GenAI applications for advertising, combining text, image, and multilingual support.
• Drive end‑to‑end innovation from research ideation through production deployment at Amazon scale.
• Lead cross‑functional collaboration with product, engineering, and business teams to translate science into customer impact.

You will join a newly‑founded team with a broad mandate to experiment and innovate, focusing on driving growth of sponsored products ad experiences across non‑US marketplaces. This broad charter gives us the flexibility to explore and apply scientific techniques to novel product problems. You will have the satisfaction of seeing your work improve the experience of millions of Amazon shoppers worldwide while driving quantifiable revenue impact.

More importantly, you will broaden your technical skills and be a science leader in an environment that thrives on creativity, experimentation, and product innovation.

• 3+ years of building machine learning models for business application experience.
• PhD, or Master’s degree and 5+ years of applied research experience.
• Experience programming in Java, C++, Python or related language.
• Experience with neural deep learning methods and machine learning.

• Experience with modeling tools such as R, scikit‑learn, Spark MLLib, MxNet, Tensor Flow, Num Py, Sci Py, etc.
• Experience with large‑scale distributed systems such as Hadoop, Spark, etc.
• Experience delivering production‑grade solutions in recommendation systems, advertising, information and retrieval, or search domains.

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.

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