Applied Science Manager, Sponsored Products and Brands -- Offsite

About the role

The Sponsored Products and Brands (SPB) 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 Amazon.com and beyond.

Key job responsibilities

• Contribute to goals carried by Amazon’s leadership team (S-Team).
• Lead Applied Scientists, Machine Learning Engineers, and Software Development Engineers.
• Surface qualitative and quantitative insights as the voice of the advertisers to shape product direction and ensure product-market fit.
• Develop science and engineering roadmaps to increase advertiser outcomes with ML and GenAI solutions, run annual planning, and foster cross-team collaboration on model development.
• 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, industry trends, and system designs.
• Work with off-Amazon publishers to launch new high-impact placements that increase advertiser outcomes.
• Develop and own mechanisms to track and improve advertiser performance.
• Distill complex ideas and complex thoughts, succinctly, adapting to the medium of communication.

Basic Qualifications

• 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

Preferred Qualifications

• Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers
• 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 in people management
• Experience with big data technologies such as AWS, Hadoop, Spark, Pig, Hive etc.