Amazon
Sr. Applied Scientist, GenAI, CreativeX, Amazon Advertising
Amazon, Sunnyvale, California, United States, 94087
Sr. Applied Scientist, GenAI, CreativeX, Amazon Advertising Job ID: 2791845 | Amazon.com Services LLC
Is this your next job Read the full description below to find out, and do not hesitate to make an application.Amazon Advertising is one of Amazon's fastest growing and most profitable businesses. Amazon's advertising portfolio helps merchants, retail vendors, and brand owners succeed via native advertising, which grows incremental sales of their products sold through Amazon. The primary goals are to help shoppers discover new products they love, be the most efficient way for advertisers to meet their business objectives, and build a sustainable business that continuously innovates on behalf of customers. Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive long-term growth.The Creative X team within Amazon Advertising aims to democratize access to high-quality creatives (image, video, copy) by building AI-driven solutions for advertisers. To accomplish this, we are investing in latent-diffusion models, large language models (LLM), computer vision (CV), and related ML methods. You will be part of a close-knit team of applied scientists and machine learning engineers, who are highly collaborative and at the top of their respective fields.We are looking for an Applied Scientist who is adept at a variety of skills, especially with latent diffusion models, large language models, or related foundational models that will accelerate our plans to generate high-quality creatives on behalf of advertisers. Every member of the team is expected to build customer (advertiser) facing features, contribute to the collaborative and innovative spirit within the team, and bring cutting-edge applied research to raise the bar within the team.Key Responsibilities
Drive end-to-end GenAI projects that have a high degree of ambiguity, scale, and complexity.Build Machine Learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production; work closely with software engineers to assist in productionizing your ML models.Perform hands-on analysis and modeling of enormous data sets to develop insights that increase traffic monetization and merchandise sales, without compromising the shopper experience.Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation, and serving.Identify and action data collection and labeling in conjunction with team members.Research new and innovative machine learning approaches.Present results and explain methods to senior leadership.BASIC QUALIFICATIONS
6+ years of building machine learning models for business application experiencePhD, or Master's degree and 6+ years of applied research experienceExperience programming in Java, C++, Python or related languageExperience with GenAI model training and tuningPREFERRED QUALIFICATIONS
Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.Published relevant research work in leading ML conferences or journals.Experience in building and deploying large-scale machine-learning models for computer vision, natural language processing, ranking, or personalization, etc.Experience working with large real-world data sets and building scalable models from big data.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.Posted:
September 23, 2024
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Is this your next job Read the full description below to find out, and do not hesitate to make an application.Amazon Advertising is one of Amazon's fastest growing and most profitable businesses. Amazon's advertising portfolio helps merchants, retail vendors, and brand owners succeed via native advertising, which grows incremental sales of their products sold through Amazon. The primary goals are to help shoppers discover new products they love, be the most efficient way for advertisers to meet their business objectives, and build a sustainable business that continuously innovates on behalf of customers. Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive long-term growth.The Creative X team within Amazon Advertising aims to democratize access to high-quality creatives (image, video, copy) by building AI-driven solutions for advertisers. To accomplish this, we are investing in latent-diffusion models, large language models (LLM), computer vision (CV), and related ML methods. You will be part of a close-knit team of applied scientists and machine learning engineers, who are highly collaborative and at the top of their respective fields.We are looking for an Applied Scientist who is adept at a variety of skills, especially with latent diffusion models, large language models, or related foundational models that will accelerate our plans to generate high-quality creatives on behalf of advertisers. Every member of the team is expected to build customer (advertiser) facing features, contribute to the collaborative and innovative spirit within the team, and bring cutting-edge applied research to raise the bar within the team.Key Responsibilities
Drive end-to-end GenAI projects that have a high degree of ambiguity, scale, and complexity.Build Machine Learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production; work closely with software engineers to assist in productionizing your ML models.Perform hands-on analysis and modeling of enormous data sets to develop insights that increase traffic monetization and merchandise sales, without compromising the shopper experience.Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation, and serving.Identify and action data collection and labeling in conjunction with team members.Research new and innovative machine learning approaches.Present results and explain methods to senior leadership.BASIC QUALIFICATIONS
6+ years of building machine learning models for business application experiencePhD, or Master's degree and 6+ years of applied research experienceExperience programming in Java, C++, Python or related languageExperience with GenAI model training and tuningPREFERRED QUALIFICATIONS
Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.Published relevant research work in leading ML conferences or journals.Experience in building and deploying large-scale machine-learning models for computer vision, natural language processing, ranking, or personalization, etc.Experience working with large real-world data sets and building scalable models from big data.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.Posted:
September 23, 2024
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