Software & Machine Learning Engineer, Alexa Analytics

Amazon's Alexa Analytics team is seeking a talented Machine Learning Engineer to join their predictive CX metrics organization. This role combines software development and machine learning expertise, focusing on developing cutting-edge inference architectures and large model training capabilities.

The position offers an exciting opportunity to work with state-of-the-art Generative AI and LLMs, directly impacting millions of customers through Alexa's ecosystem. You'll be part of a cross-functional team including applied scientists, research scientists, linguists, and product managers, working on the "Gale" analytics platform that powers Alexa's development decisions.

Key responsibilities include developing and maintaining platforms for LLM deployment, processing massive datasets (20B+ parameters), and optimizing machine learning models. You'll work with cutting-edge technologies like AWS Inferentia2, contribute to design improvements, and ensure operational excellence.

The role offers the chance to:

• Lead development of advanced inference infrastructure
• Work with massive-scale AI models and datasets
• Collaborate with world-class scientists and engineers
• Impact millions of users through Alexa's ecosystem
• Drive innovation in predictive analytics and infrastructure

You'll be part of a team deeply rooted in big data, responsible data handling, and performant services, while maintaining high standards for privacy and security. The position combines technical depth with customer impact, making it ideal for engineers passionate about AI/ML who want to shape the future of voice technology and analytics.

This role offers the unique opportunity to work on large-scale ML problems while maintaining a strong software engineering foundation. You'll be at the forefront of AI innovation, working with the latest technologies and contributing to Amazon's mission of being Earth's most customer-centric company.