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. 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.

Key job responsibilities

• 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 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.

Pay

Base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location.

• USA, CA, Palo Alto - 211,400.00 - 286,000.00 USD annually
• USA, NY, New York - 202,200.00 - 273,600.00 USD annually
• USA, WA, SEATTLE - 183,800.00 - 248,700.00 USD annually