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 sits at the intersection of software engineering and machine learning, focusing on building and deploying ML models at scale. The position involves working with cutting-edge technologies including Large Language Models (LLMs), personalization systems, and content discovery platforms that directly impact millions of Audible listeners worldwide.

The role combines traditional software engineering with specialized ML engineering skills, requiring expertise in building scalable systems that handle tens of thousands of real-time requests per second. You'll be working on infrastructure that's fundamental to the listener experience, helping shape how Audible and Amazon build, monitor, and deploy LLMs for production use-cases.

As part of the MLE team, you'll collaborate with applied scientists to optimize model performance, improve ML productivity, and advance technical foundations. The position requires strong communication skills, attention to detail, and a collaborative mindset. You'll be working in an environment that values innovation, continuous learning, and technical excellence.

This is an excellent opportunity for engineers passionate about machine learning infrastructure who want to make a significant impact on how millions of users discover and engage with audio content. The role offers exposure to large-scale ML systems, cutting-edge technologies, and the chance to work with some of the best minds in the industry while contributing to Audible's mission of delivering transformative storytelling experiences.