Senior Applied Scientist, Sponsored Products and Brands

Amazon Inc.; Seattle (WA); On-site; USD 140,000 - 200,000; Full time

Job summary

Amazon Ads is seeking an experienced Applied Scientist with a machine learning engineering background to join our SPB Ad Response Prediction team. You will build advanced ML models and infrastructure for training and inference, including emerging LLM-based systems, to deliver highly relevant ads to shoppers across Amazon platforms.

You will partner with engineers and scientists to push the boundaries of AI while ensuring reliability, scalability, and responsible use of AI technologies at scale.

Qualifications

• Experience building ML models and scalable ML systems.
• Experience with large-scale training and real-time inference pipelines.
• Familiarity with generative AI and LLM workloads.

Responsibilities

• Develop scalable and effective machine learning models and optimization strategies to solve business problems.
• Conduct research on new ML modeling approaches to optimize Sponsored Products performance.
• Enhance scalability, automation, and efficiency of large-scale training and real-time inference systems.
• Pioneer the development of LLM inference infrastructure to support GenAI workloads at scale.

Skills

Machine learning

LLM inference

Research

Job description

About Sponsored Products and Brands

The Sponsored Products and Brands (SPB) 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.

About our team

SPB Ad Response Prediction team is your choice, if you want to join a highly motivated, collaborative, and fun-loving team with a strong entrepreneurial spirit and bias for action. We are seeking an experienced and motivated Applied Scientist with machine learning engineering background who loves to innovate at the intersection of customer experience, deep learning, and high-scale machine learning systems.

We are looking for a talented Applied Scientist with a strong background in machine learning engineering to join our team and help us grow the business. In this role, you will partner with a team of engineers and scientists to build advanced machine learning models and infrastructure, from training to inference, including emerging LLM-based systems, that deliver highly relevant ads to shoppers across all Amazon platforms and surfaces worldwide.

Key job responsibilities

As an Applied Scientist, you will:

• Develop scalable and effective machine learning models and optimization strategies to solve business problems.
• Conduct research on new machine learning modeling to optimize all aspects of Sponsored Products business.
• Enhance the scalability, automation, and efficiency of large-scale training and real-time inference systems.
• Pioneer the development of LLM inference infrastructure to support next-generation GenAI workloads at Amazon Ads scale.