Applied Scientist II, Sponsored Products

Key job responsibilities

• Participate in the Science hiring process as well as mentor other scientists - improving their skills, their knowledge of your solutions, and their ability to get things done.
• Identify and devise new video related solutions following a customer-obsessed scientific approach to address customer or business problems when the problem is ill-defined, needs to be framed, and new methodologies or paradigms need to be invented at the product level.
• Articulate potential scientific challenges of ongoing or future customers’ needs or business problems, and present interventions to address them.
• Independently assess alternative video related technologies, driving evaluation and adoption of those that fit best

About the team

The Sponsored Brands Video team within Sponsored Products and Brands creates relevant and engaging video experiences, connecting advertisers and shoppers. We are on a mission to make Amazon the best in class destination for shoppers to discover, engage and build affinity with brands, making shopping delightful, & personal.

Basic Qualifications

• 3+ years of building models for business application experience
• PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
• Experience programming in Java, C++, Python or related language
• Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
• Experience with vLLM, SGLang, TensorRT or similar platforms in production environments, or experience in developing and deploying LLMs in production on GPUs, Neuron, TPU or other AI acceleration hardware

Preferred Qualifications

• Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution, or experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems
• Experience developing, deploying and managing AI products at scale
• Experience with video compression
• Understanding of image processing fundamentals