Principal Applied Scientist, Advertising Trust

Minimum Qualifications:Ten plus years of directly related experiencePhD 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.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. Our products are strategically important to our business driving long-term growth. We deliver billions of ad impressions and millions of clicks daily and are breaking fresh ground to create world-class products. We are highly motivated, collaborative and fun-loving with an entrepreneurial spirit and bias for action.Key job responsibilities: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.Collaborate with cross-functional teams, including research scientists, engineers, and product managers, to translate research findings into practical applications for Advertising Trust use cases.Contribute to the development of state-of-the-art natural language processing (NLP) and computer vision systems to automatically identify, filter and/or label advertising content.Develop innovative techniques for labeling and categorizing advertising content, ensuring accurate and transparent targeting and compliance with Amazon’s advertising policies and regulations.Publish research papers in top-tier conferences and journals, advancing the field of AI in advertising content moderation and trust, and establishing Amazon as a thought leader in this space.Mentor and guide junior researchers, fostering a culture of innovation and knowledge sharing within the team.Stay up-to-date with the latest advancements in AI, LLMs, and Generative AI, and identify opportunities for Amazon to leverage cutting-edge technologies in advertising content moderation and trust.Present research findings and proposals to senior leadership, influencing strategic decision-making and shaping the direction of AI initiatives in advertising at Amazon.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

#J-18808-Ljbffr