Machine Learning Engineer, MLOps/MLaaS, Engine AI Center of Excellence

Join Amazon's AICE team as a Machine Learning Engineer, where you'll be at the forefront of building data-driven automation capabilities that support critical service operations in Retail and IT with global impact. Our team's work directly improves the operations and availability of consumer services, positively impacting millions of users annually.

As an ML Engineer, you'll work on implementing and operating end-to-end machine learning and data processing pipelines that integrate with production systems. You'll collaborate closely with applied scientists, data scientists, and partners to design and scale machine learning models and evaluation experiments. The role requires expertise in practical machine learning, including data preprocessing, analysis, modeling (neural networks, regression, estimators, probabilistic models), hyper-parameter tuning, and validation methods.

Your typical day might involve implementing experimentation tooling, maintaining code bases, solving technical challenges with partners, and supporting products in production. You'll be part of a powerful team of specialists bringing practical machine learning to its full potential, directly impacting millions of Amazon customers.

The ideal candidate should have strong software development engineering skills and experience in MLOps for large-scale production environments. You'll work in an inclusive environment that values diversity and innovation, with access to cutting-edge technologies and the opportunity to solve complex problems at scale.

This role offers significant growth opportunities, working with a diverse team of specialists who are passionate about pushing the boundaries of practical machine learning. Join us in building the future of automated service operations at Amazon.