Role at a glance
- Salary
- Not Disclosed
- Location
- New York, New York, United States Seattle, Washington, United States
- Work arrangement
- On-site
- Employment
- Full-time
- Education
- Master's, PhD
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Qualifications
Required
- Master's degree in Computer Science (Machine Learning, AI, Statistics, or equivalent)
- 8+ years of building large-scale machine learning and AI solutions at Internet scale experience
- Experience building large-scale machine learning and AI solutions at Internet scale
- Experience distilling informal customer requirements into problem definitions, dealing with ambiguity and competing objectives
- Experience hiring and leading experienced scientists as well as having a successful record of developing junior members from academia or industry to a successful career track
Preferred
- PhD in Computer Science (Machine Learning, AI, Statistics, or equivalent)
- 10+ years of practical work applying ML to solve complex problems for large-scale applications experience
- Experience in practical work applying ML to solve complex problems for large scale applications
- Experience working with big data, machine learning and predictive modeling
- Experience with big data technologies such as AWS, Hadoop, Spark, Pig, Hive etc.
- Experience with Java, C++, or other programming language, as well as with R, MATLAB, Python, or an equivalent scripting language
- Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $196,900/year in our lowest geographic market up to $340,300/year in our highest geographic market. Pay is...
About the role
Original posting provided by amazon
The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We bridge human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights.
SPB Global Optimization (GO) team was created recently to accelerate GMSP growth in non-US markets. We are helping drive profitability across all marketplaces by creating delightful experiences for shoppers and advertisers alike. We are working backwards from customers to re-imagine Amazon's advertising stack from the ground up, leveraging multilingual and multi-modal GenAI technologies including semantic hash designs, LLMs, and more to deliver solutions that scale worldwide from day one. This is your opportunity to be part of a small, high-impact team that prototypes, invents, and ships state-of-the-art solutions that will define the future of digital advertising. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising.
Key job responsibilities
- Lead a cross-functional team of Applied Scientists, Machine Learning Engineers, and Software Development Engineers in delivering GMSP acceleration across multiple EU markets.
- Understand the unique needs of advertisers and shoppers in diverse marketplaces to craft the vision and milestones for SPB GO program in EU to create delightful experiences that increase engagement and satisfaction for both customer groups.
- Architect next-generation systems that replace legacy monolithic infrastructure with scalable, intelligent solutions that scale worldwide on day one.
- Pioneer breakthrough applied science in multi-modal GenAI applications for advertising, combining text, image, and multi-lingual support.
- Drive end-to-end innovation from research ideation through production deployment at Amazon scale.
- Hire and develop top talent, providing technical direction and career growth guidance to scientists and engineers within and across organizations.
Your contributions will be highly visible and instrumental in hitting goals carried by Amazon's leadership team (S-Team). A diverse group of stakeholders will rely on your vision and messaging, including advertisers, agencies, and internal ad sales and operations teams.
- 8+ years of building large-scale machine learning and AI solutions at Internet scale experience
- Experience building large-scale machine learning and AI solutions at Internet scale
- Experience distilling informal customer requirements into problem definitions, dealing with ambiguity and competing objectives
- Experience hiring and leading experienced scientists as well as having a successful record of developing junior members from academia or industry to a successful career track
- 10+ years of practical work applying ML to solve complex problems for large-scale applications experience
- Experience in practical work applying ML to solve complex problems for large scale applications
- Experience working with big data, machine learning and predictive modeling
- Experience with big data technologies such as AWS, Hadoop, Spark, Pig, Hive etc.
- Experience with Java, C++, or other programming language, as well as with R, MATLAB, Python, or an equivalent scripting language
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $196,900/year in our lowest geographic market up to $340,300/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
SPB Global Optimization (GO) team was created recently to accelerate GMSP growth in non-US markets. We are helping drive profitability across all marketplaces by creating delightful experiences for shoppers and advertisers alike. We are working backwards from customers to re-imagine Amazon's advertising stack from the ground up, leveraging multilingual and multi-modal GenAI technologies including semantic hash designs, LLMs, and more to deliver solutions that scale worldwide from day one. This is your opportunity to be part of a small, high-impact team that prototypes, invents, and ships state-of-the-art solutions that will define the future of digital advertising. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising.
Key job responsibilities
- Lead a cross-functional team of Applied Scientists, Machine Learning Engineers, and Software Development Engineers in delivering GMSP acceleration across multiple EU markets.
- Understand the unique needs of advertisers and shoppers in diverse marketplaces to craft the vision and milestones for SPB GO program in EU to create delightful experiences that increase engagement and satisfaction for both customer groups.
- Architect next-generation systems that replace legacy monolithic infrastructure with scalable, intelligent solutions that scale worldwide on day one.
- Pioneer breakthrough applied science in multi-modal GenAI applications for advertising, combining text, image, and multi-lingual support.
- Drive end-to-end innovation from research ideation through production deployment at Amazon scale.
- Hire and develop top talent, providing technical direction and career growth guidance to scientists and engineers within and across organizations.
Your contributions will be highly visible and instrumental in hitting goals carried by Amazon's leadership team (S-Team). A diverse group of stakeholders will rely on your vision and messaging, including advertisers, agencies, and internal ad sales and operations teams.
Basic Qualifications
- Master's degree in Computer Science (Machine Learning, AI, Statistics, or equivalent)- 8+ years of building large-scale machine learning and AI solutions at Internet scale experience
- Experience building large-scale machine learning and AI solutions at Internet scale
- Experience distilling informal customer requirements into problem definitions, dealing with ambiguity and competing objectives
- Experience hiring and leading experienced scientists as well as having a successful record of developing junior members from academia or industry to a successful career track
Preferred Qualifications
- PhD in Computer Science (Machine Learning, AI, Statistics, or equivalent)- 10+ years of practical work applying ML to solve complex problems for large-scale applications experience
- Experience in practical work applying ML to solve complex problems for large scale applications
- Experience working with big data, machine learning and predictive modeling
- Experience with big data technologies such as AWS, Hadoop, Spark, Pig, Hive etc.
- Experience with Java, C++, or other programming language, as well as with R, MATLAB, Python, or an equivalent scripting language
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $196,900/year in our lowest geographic market up to $340,300/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
About the company
amazon
Large Enterprise
Amazon is a global leader in e-commerce and cloud computing, founded in 1994 by Jeff Bezos. Initially starting as an online bookstore, it has since expanded its offerings to include a vast range of products and services, including electronics, fashion, and digital content. With Amazon Web Services (AWS), the company also provides powerful cloud solutions to businesses around the world. Known for its innovation, customer-centric approach, and commitment to operational efficiency, Amazon continues to shape the future of retail and technology, consistently seeking new ways to enhance customer experiences.
Amazon is a global leader in e-commerce and cloud computing, founded in 1994 by Jeff Bezos. Initially starting as an online bookstore, it has since expanded its offerings to include a vast range of products and services, including electronics, fashion, and digital content. With Amazon Web Services (AWS), the company also provides powerful cloud solutions to businesses around the world. Known for its innovation, customer-centric approach, and commitment to operational efficiency, Amazon continues to shape the future of retail and technology, consistently seeking new ways to enhance customer experiences.