Software Development Engineer, Machine Learning, Audible

Audible, an Amazon company, is seeking a Software Development Engineer for their Machine Learning Engineering (MLE) team. This role focuses on driving initiatives in Machine Learning, Large Language Models (LLMs), personalization, and content discovery. The MLE team works alongside applied science teams to train, productionize, monitor and deploy machine learning models at a global scale.

The position involves working on infrastructure that is core to the listener experience, helping shape how Audible and Amazon build, monitor and deploy LLMs for production use-cases. Engineers in this role use both software engineering and machine learning skills to build massively scalable, high-availability systems that enable internal partners and customers to experiment quickly, retrain recommender models, and respond to changing user behavior patterns.

The ideal candidate should be a skilled communicator who can effectively collaborate with various stakeholders, possess a detail-oriented approach to problem-solving, and demonstrate curiosity and willingness to learn. The role offers the opportunity to work on systems that handle tens of thousands of real-time, low-latency data requests per second and develop internal tools leveraging LLMs for process automation and productivity.

At Audible, you'll be part of a company that believes in the power of storytelling and works with leading creators to share audio content with millions of global listeners. The company maintains an entrepreneurial spirit and focuses on creating inclusive communities while delivering innovative solutions that enhance the customer experience.