Senior Applied Scientist: GenAI for Ads at Scale

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

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.