Applied Science Manager, Sponsored Products and Brands

Amazon•Seattle, WA

12d

About The Position

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 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 Amazon.com and beyond!

Requirements

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

Nice To Haves

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

Responsibilities

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.