Software Development Engineer, Conversational AI Modeling and Learning

Join Amazon's Conversational AI Modeling and Learning (CAMEL) team in developing industry-leading Generative AI powered conversational assistant capabilities. This role offers an exciting opportunity to work at the forefront of AI technology, specifically focusing on large language models and conversational agents.

As a Software Development Engineer, you'll be instrumental in developing and maintaining key platforms for large language models, working with cutting-edge technologies including fine-tuning, ICL (In Context Learning), and various prompt optimization techniques. You'll collaborate with applied scientists to process massive data sets and scale machine learning models while optimizing for performance and cost.

The position offers competitive compensation ranging from $129,300 to $223,600 based on location and experience, plus additional benefits including equity and sign-on bonuses. You'll be working with Amazon's vast computing resources and heterogeneous data sources to push the boundaries of what's possible in conversational AI.

This role is perfect for someone with strong software development experience who is passionate about AI and machine learning. You'll have the opportunity to influence overall strategy, define data approaches, and drive system architecture. The team operates in an Agile/Scrum environment, delivering high-quality software against aggressive schedules.

Working at Amazon means joining one of the world's most innovative companies, with access to incredible resources and the chance to work on projects that impact millions of users. The CAMEL team is at the cutting edge of AI development, offering unparalleled opportunities for career growth and technical advancement in the field of conversational AI and machine learning.

If you're excited about shaping the future of AI technology and want to work with top minds in the field while solving complex technical challenges, this role offers the perfect opportunity to make your mark in the rapidly evolving field of conversational AI.