Amazon - Seattle, WA
posted about 2 months ago
As a Machine Learning Engineer II focused on Search Quality at Amazon, you will play a pivotal role in transforming the way customers interact with Amazon Search through the innovative use of Large Language Models (LLMs). Your work will involve designing and implementing online machine learning systems and automated offline training pipelines that enhance the search experience for millions of users. You will be tasked with optimizing the latency and throughput of production models, ensuring that they operate efficiently and effectively under tight service level agreements (SLAs). In this role, you will also be responsible for implementing large-scale data processing techniques for model pre-training and fine-tuning, which are crucial for improving the accuracy and relevance of search results. Collaborating closely with principal engineers and scientists, you will help build robust systems that are designed to endure and evolve over time. Additionally, you will conduct A/B tests to measure the customer impact of new models, providing valuable insights that will guide future enhancements to the search functionality. You will be part of a collaborative team of machine learning engineers and scientists dedicated to maintaining and improving Amazon's search quality on a global scale. This position offers an exciting opportunity to work at the intersection of machine learning and customer experience, making a tangible impact on how users find products and information on Amazon.