Machine Learning Engineer

Amazon's Device, Digital and Alexa Support (D2AS) team is seeking a Machine Learning Engineer to develop cutting-edge AI solutions using Large Language Models (LLM), Machine Learning (ML), and Natural Language Processing (NLP). This role focuses on understanding and resolving customer issues to provide earth's best customer service.

As a Machine Learning Engineer, you'll be at the forefront of AI innovation, working with tools like Amazon SageMaker and Amazon Bedrock to build scalable production solutions. You'll collaborate with applied scientists and data scientists to create and fine-tune ML and Generative AI solutions for real business problems. The role involves direct interaction with stakeholders, analyzing large datasets, and implementing new algorithms.

The position offers competitive compensation ranging from $129,300 to $223,600 per year, depending on location and experience. Amazon provides comprehensive benefits including medical, dental, vision coverage, 401(k), and parental leave options. The team culture emphasizes innovation, data-driven decision-making, and collaboration across engineering, science, and product teams.

D2AS is responsible for Customer Service operations for all Amazon Devices and Digital products, from Kindle and Echo to Amazon Music and Prime Video. The team's mission is to make digital experiences effortless for customers by anticipating, evaluating, preventing, and eliminating customer effort. This role offers an opportunity to make a significant impact on customer experience while working with cutting-edge technology.

Join us if you're passionate about applying ML and AI to solve real-world problems, thrive in a fast-paced environment, and want to be part of a team that's revolutionizing customer service through technology.