Machine Learning Engineer, JP Science and Data

We are seeking a talented Machine Learning Engineer to join Amazon Japan's Science and Data team, focusing on building scalable ML solutions that drive business impact through vendor partnerships. In this role, you'll architect and implement end-to-end machine learning systems that scale across Amazon's largest vendors, combining strong software engineering principles with ML expertise.

You'll work directly with Applied Scientists to productionize ML models, collaborate with Software Development Engineers on scalable infrastructure, and partner with Data/BI Engineers on ML-ready data pipelines. The role involves working on cutting-edge areas including causal inference, representation learning, anomaly detection, forecasting, and LLMs.

As part of the JP Science and Data team, you'll be exposed to various projects and collaborate with a diverse group of professionals worldwide. The team emphasizes continuous learning and aims to be the primary science team for vendor solutions globally. You'll help build robust, production-grade ML platforms and pipelines supporting advanced analytics for Amazon's new generation of Paid Services.

This position offers an exciting opportunity to work with terabytes of data, shape technical roadmaps with product managers, and drive innovation in Amazon's vendor solutions. The ideal candidate will bring strong software engineering fundamentals, demonstrated ML system experience, and a passion for building scalable solutions that deliver tangible business results.

Join us to be part of a team that values collaboration, continuous learning, and staying at the forefront of machine learning technology while making a significant impact on Amazon's global vendor ecosystem.