Do you want to join an innovative team of scientists who develop Agentic AI, LLM, and deep learning based solutions to help Amazon provide the best advertising experience?
Do you want to build advanced algorithmic systems that help manage the trust and safety of millions of customer interactions with our advertising business? Are you excited by the prospect of analyzing and modeling terabytes of data and creating state-of-the-art algorithms to solve real world problems? Are you excited by the opportunity to leverage GenAI and innovate on top of the state-of-the-art large language models to improve customer and advertiser experience?
Do you like to innovate and create solutions that have cross-organizational impacts?
If yes, then you may be a great fit to join the Ads Trust team.
Key job responsibilities
In this role, you will build and develop ML models to address content understanding problems in Ads. These models will rely on a variety of multimodal, visual and textual features requiring expertise in both domains. These models need to scale to multiple modalities, languages and countries. You will collaborate with engineers and other scientists to build, train and deploy these models. As part of these activities, you will develop production level code that enables moderation of millions of ads submitted each day.
About the team
Amazon is investing heavily in building a world class advertising business and we are responsible for defining and delivering a collection of self-service performance advertising products that drive discovery and sales. We deliver billions of ad impressions and millions of clicks daily. We are highly motivated, collaborative and fun-loving with an entrepreneurial spirit and bias for action.
The ATT team, based in San Diego, is responsible for ensuring that ads are relevant and of good quality, leading to higher conversion for the sellers and providing a great experience for the customers. We deal with one of the world’s largest product catalog, handle billions of requests a day and use automated systems to validate tens of millions of offers submitted by thousands of merchants in multiple countries and languages.
