Current jobs related to Applied Science Manager, Sponsored Products and Brands - Seattle, Washington - Amazon Services LLC
-
Seattle, Washington, United States Amazon Advertising LLC Full timeDESCRIPTIONAbout Sponsored Products and BrandsThe 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 and beyond. We are at the forefront of re-inventing advertising experiences, bridging human...
-
Applied Scientist, Sponsored Products and Brands
6 hours ago
Seattle, Washington, United States Amazon Full timeAbout Sponsored Products and Brands: The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through industry leading generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across and beyond. We are at the forefront of re-inventing advertising experiences,...
-
Seattle, Washington, United States Amazon Full timeDescriptionThe Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through novel generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial...
-
Seattle, Washington, United States Amazon Full timeThe Sponsored Products and Brands (SPB) team at Amazon Ads is re-imagining the advertising landscape through state-of-the-art generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with...
-
Seattle, Washington, United States Amazon Full time $143,700 - $194,400The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through novel GenAI technologies, revolutionizing how millions of customers discover products and engage with brands across and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to...
-
Seattle, Washington, United States Amazon Full timeDESCRIPTIONRe-invent the advertising landscape by leveraging industry leading generative AI technologies that revolutionize product discovery and brand engagement. You'll be at the forefront of developing intelligent solutions that bridge human creativity with artificial intelligence, creating innovative advertising experiences that reshape how millions of...
-
Product Manager for Data Science
1 day ago
Seattle, Washington, United States impact Full timeAbout is the world's leading commerce partnership marketing platform, transforming the way businesses grow by enabling them to discover, manage, and scale partnerships across the entire customer journey. From affiliates and influencers to content publishers, brand ambassadors, and customer advocates, empowers brands to drive trusted, performance-based...
-
Seattle, Washington, United States Lensa Full timeLensa is a career site that helps job seekers find great jobs in the US. We are not a staffing firm or agency. Lensa does not hire directly for these jobs, but promotes jobs on LinkedIn on behalf of its direct clients, recruitment ad agencies, and marketing partners. Lensa partners with DirectEmployers to promote this job for Amazon. Clicking "Apply Now" or...
-
Sr. Manager, Applied Science
1 day ago
Seattle, Washington, United States Amazon Full timeDESCRIPTIONWe are seeking an exceptional Sr. Manager, Applied Science - Global Selling Partner Risk Intelligence and Prevention, to lead the development and implementation of advanced AI solutions that will transform how we prevent bad actors from operating in our store and enable Selling Partners to start and grow their business without fear of disruption,...
-
Senior Product Manager
2 weeks ago
Seattle, Washington, United States Amazon Services LLC Full timeDESCRIPTIONThe Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through novel generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial...
Applied Science Manager, Sponsored Products and Brands
2 days ago
About Sponsored Products and Brands
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 and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. 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.
Sponsored Products Search Relevance's (SPSR) team's mission is to help shoppers easily find and discover the most useful and relevant sponsored products, while improving advertisers' ability to find the right shoppers in the right context for their sponsored products. We develop capabilities to understand shoppers' queries, shopping missions, and products' attributes so that we can identify ASINs that are contextually relevant to the shopper. We make CX/UX improvements so that shoppers can easily perceive why products are relevant to them and efficiently navigate Amazon's vast product selection.
We are seeking an Applied Science Manager with a strong background in ML and Gen AI solutions. The ideal candidate shall have experience managing both scientists and engineers and will be passionate about applying these technologies to the advertising domain.
Curious about our advertising solutions? Discover more about Sponsored Products and Sponsored Brands to see how we're helping businesses grow on and beyond
Key job responsibilities
As an Applied Science Manager, you will:
- Directly manage and lead a cross-functional team of Applied Scientists, Machine Learning Engineers, and Software Development Engineers.
- Develop science and engineering roadmaps for SPB Search Relevance with ML and Gen AI solutions, run annual planning, and foster cross-team collaboration on model development and integration to advertising applications.
- Hire and develop top talent, provide technical and career development guidance to scientists and engineers within and across the organization.
- Stay informed about recent scientific publications, industrial research trends, and system designs that are pertinent to the SPB advertising business and bring those insights with the team.
About the team
Sponsored Products Search Relevance's (SPSR) team's mission is to help shoppers easily find and discover the most useful and relevant sponsored products, while improving advertisers' ability to find the right shoppers in the right context for their sponsored products. We develop capabilities to understand shoppers' queries, shopping missions, and products' attributes so that we can identify ASINs that are contextually relevant to the shopper. We make CX/UX improvements so that shoppers can easily perceive why products are relevant to them and efficiently navigate Amazon's vast product selection.
- 4+ years of applied research experience
- 3+ years of scientists or machine learning engineers management experience
- 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Knowledge of ML, NLP, Information Retrieval and Analytics
- Experience programming in Java, C++, Python or related language
- Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers
- PhD, or a Master's degree and experience with generative deep learning models applicable to the creation of synthetic humans like CNNs, GANs, VAEs and NF
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 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 $165,500/year in our lowest geographic market up to $286,000/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 This position will remain posted until filled. Applicants should apply via our internal or external career site.
