- Amazon (Seattle, WA)
- …Intelligence team is seeking a Principal Applied Scientist to lead the development and implementation of generative AI solutions for ad allocation and ranking ... what's possible with generative AI in digital advertising. Basic Qualifications - PhD in Computer Science, Applied Mathematics, Statistics or a closely related field… more
- Amazon (Seattle, WA)
- …in LLM models to design, develop, and implement scalable machine learning solutions that address complex language translation-related challenges in the eCommerce ... years of building models for business application experience - PhD , or Master's degree and 4+ years of CS,...- Experience using Unix/Linux - Experience in professional software development Amazon is an equal opportunity employer and does… more
- Amazon (Seattle, WA)
- …while they make history. You will leverage your knowledge in machine learning , advanced analytics, metrics, reporting, and analytic tooling/languages to analyze and ... years of building models for business application experience - PhD , or Master's degree and 4+ years of CS,...- Experience using Unix/Linux - Experience in professional software development Amazon is an equal opportunity employer and does… more
- Amazon (Seattle, WA)
- …and Amazon culture. Key job responsibilities Design a scalable global content development and validation strategy to drive more effective decisions and improve the ... scientific principles and concepts to business problems and products experience - PhD , or Master's degree and 5+ years of quantitative field research experience… more
- Amazon (Seattle, WA)
- …reaching 40,000 employees in over 190 chapters globally. We are constantly learning through programs that are local, regional, and global. Amazon's culture of ... selling new products to customers - Business management and product development experience, including experience working directly with engineers and technical teams… more
- Amazon (Seattle, WA)
- …is looking for a senior economist experienced in causal inference, machine learning , empirical industrial organization, and scaled systems to work on business ... deep understanding of customer preferences. Our team's outputs inform product development decisions, investments in future product categories, and product pricing… more
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