Machine Learning Engineer II, Shopping Conversation Foundation

Join Amazon's Shopping Conversation Foundation team to build cutting-edge generative AI solutions for customer-facing shopping experiences. As a Machine Learning Engineer II, you'll work on developing and optimizing large language models like Rufus, creating tools and infrastructure to enhance model performance. The role involves building internet-scale data solutions and working with state-of-the-art deep learning technologies.

You'll be part of a passionate team developing industry-leading technology in Large Language Models and Natural Language Processing. The position offers the opportunity to impact millions of customers worldwide while tackling unprecedented technical challenges. The team values collaboration, diversity, and maintains a growth mindset in pushing the boundaries of machine learning and AI.

Key responsibilities include designing distributed training pipelines, customizing LLMs through techniques like RLHF, optimizing models for AWS silicon, and collaborating with scientists to develop tailored generative AI solutions. You'll lead technical strategies, define evaluation criteria, and work in an agile environment to deliver high-quality software.

The role offers competitive compensation ranging from $129,300 to $223,600 based on location and experience, plus additional benefits including equity and sign-on bonuses. This position combines technical expertise in machine learning with practical software engineering, making it ideal for those passionate about advancing conversational AI in e-commerce.

Amazon provides a comprehensive benefits package and promotes an inclusive culture where diverse perspectives are valued. The role offers significant growth opportunities in the rapidly evolving field of generative AI while contributing to products that directly impact customer experiences worldwide.