Our mission is to ensure that advertisements are highly relevant and adhere to stringent quality and policy standards, ultimately driving higher conversion rates for sellers and delivering an exceptional and safe experience for customers. Through our efforts, we foster a seamless and trustworthy advertising environment that benefits both advertisers and shoppers, underpinning Amazon's position as a leader in the e-commerce industry.Key job responsibilitiesAs a Principal Applied Scientist in Advertising Trust, you will spearhead the strategic research direction and drive innovation through cutting-edge machine learning techniques (specifically with a focus on generative AI and large language models). Through cross-functional collaboration, thought leadership, and active contributions to the scientific community, you will position Amazons Advertising Trust as a pioneer in the field of gen AI-powered advertising content moderation and labeling. Your key responsibilities include the following:* Lead and conduct advanced research in Large Language Models (LLMs), Generative AI, and Deep Learning, with a focus on developing novel algorithms, architectures, and methodologies for advertising content moderation and labeling. * Present research findings and proposals to senior leadership, influencing strategic decision-making and shaping the direction of AI initiatives in advertising at Amazon.Basic Qualifications- Ten plus years of directly related experience- PhD in Computer Science, Machine Learning, Computational Linguistics, or a related field, with a strong focus on Natural Language Processing, Computer Vision, Large Language Models, and Generative AI.- Extensive hands-on experience in conducting research and developing innovative solutions leveraging LLMs, Generative AI, and Deep Learning.- Comprehensive applied knowledge and experience in end-to-end ML model development and deployment life cycle from ideation to model launch and maintenance.- Expertise in programming languages such as Python, PyTorch (preferable), TensorFlow, and experience with deep learning frameworks and libraries, generative AI related frameworks like LangChain, HuggingFace etc.Preferred Qualifications- Ad Tech Experience- Human Moderation Automation- Advanced Applied Content Labeling- Advanced Applied Rules Engines- Relevant world class publications- Strong analytical and problem-solving skills, with the ability to tackle complex research challenges and develop innovative solutions.- Excellent communication and collaboration skills, with the ability to effectively communicate complex technical concepts to both technical and non-technical stakeholders.- Experience in leading and mentoring science teams, fostering a collaborative and innovative environment.- Passion for cutting-edge AI technologies and a commitment to driving innovation and pushing the boundaries of what's possible in advertising content moderation and trust.Amazon is committed to a diverse and inclusive workplace.
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