Machine Learning Engineer, Workforce Solutions - Analytics and Tech

The Workforce Solutions Analytics and Tech team at Amazon is seeking a talented Machine Learning Engineer to work on cutting-edge AI and ML systems. This role focuses on solving challenging problems using Large Language Models and Artificial Intelligence to tackle staffing challenges within Amazon's warehouses. The position offers exposure to state-of-the-art innovations in AI/ML systems, including GenAI, and works with technologies like AWS Bedrock, Amazon Q, SageMaker, and Foundational Models such as Anthropic's Claude and Mistral.

As a Machine Learning Engineer, you'll work closely with science teams to bring research to production, implementing novel ML systems and product integrations. Your work will directly impact over a million Amazon associates. The role combines engineering knowledge, technical strength, and product focus, requiring expertise in developing personalized recommendation systems and end-to-end ML pipelines.

The position offers competitive compensation ranging from $129,300 to $223,600 based on location and experience, plus equity and comprehensive benefits. You'll be part of a collaborative team that values learning and innovation, with opportunities to mentor others and shape the future of AI applications in workforce solutions.

Key responsibilities include designing and implementing AI/ML models, developing workflows and pipelines, leveraging AWS AI services, and ensuring high-quality architecture and design. You'll also be involved in selecting and fine-tuning Large Language Models, prompt engineering, and other GenAI efforts while maintaining production systems and participating in on-call rotations.