Machine Learning Engineer, Search Experimentation and ML

The Amazon Search Relevance team is at the forefront of improving customer search experiences across one of the world's largest product catalogs. As a Machine Learning Engineer on the Search MLOps team, you'll play a crucial role in accelerating ML lifecycle automation and implementing MLOps best practices across CDO. Working closely with AWS SageMaker, you'll build state-of-the-art ML automation features and establish common ML lifecycle best practices. This position offers a unique opportunity to gain expertise in highly sought-after skills at Amazon scale, while working with SageMaker technologies to create production pipelines for the entire ML model lifecycle. Your work will impact not only CDO organizations but also external AWS customers operating at Amazon scale. The role combines machine learning, software engineering, and AWS ML architecture, making it perfect for someone who is collaborative, innovative, and passionate about large-scale ML systems. You'll be responsible for designing scalable infrastructure, developing monitoring tools, and implementing ML pipelines while maintaining high standards of code quality and engineering practices.