Senior Applied Scientist: GenAI & Ads ML Systems

Amazon Inc.; Arlington (VA); Presencial; USD 167.000 - 226.000; Tempo integral

Benefícios oferecidos por esta vaga

RSUs

Health insurance

401(k) matching

Paid time off

Parental leave

Resumo da vaga

Amazon.com Services LLC is seeking an experienced Applied Scientist with a machine learning engineering background to join the SPB Ad Response Prediction team. You will collaborate with engineers and scientists to build advanced ML models and infrastructure, from training to inference, including emerging LLM-based systems.

You will help deliver highly relevant ads to shoppers across Amazon platforms. The role requires a strong ML background, experience with large-scale systems, and a passion for

Qualificações

• 3+ years of building machine learning models for business applications.
• PhD, or Master’s degree with 6+ years of applied research experience.
• Experience programming in Java, C++, Python or related language.

Responsabilidades

• Develop scalable and effective machine learning models and optimization strategies to solve business problems.
• Conduct research on new ML modeling to optimize all aspects of Sponsored Products business.
• 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 Amazon Ads scale.

Conhecimentos

Java

C++

Python

ML modeling

Formação

PhD

Master's degree

Ferramentas

Hadoop

Spark

TensorFlow

scikit-learn

Descrição da vaga

Amazon.com Services LLC is seeking an experienced Applied Scientist with a machine learning engineering background to join the SPB Ad Response Prediction team. You will collaborate with engineers and scientists to build advanced ML models and infrastructure, from training to inference, including emerging LLM-based systems.

You will help deliver highly relevant ads to shoppers across Amazon platforms. The role requires a strong ML background, experience with large-scale systems, and a passion for