Machine Learning Engineer, BADS

Amazon is seeking a Machine Learning Engineer to join their Business Analytics and Decision Support (BADS) team, focusing on building next-generation software and processes for their global fulfillment centers. This role combines engineering expertise in machine learning, natural language processing, and computer vision with a strong product focus. The position involves implementing novel ML systems, integrating with various products, and ensuring optimal performance while maintaining best practices in software development and cloud infrastructure.

The role is crucial in bridging the gap between research and production, working closely with science teams to bring innovative solutions to life. You'll be responsible for developing and operationalizing production solutions, designing experimentation frameworks, and fostering best practices in MLOps. The position requires strong technical skills in AWS services, machine learning frameworks, and software development practices.

Amazon offers a comprehensive benefits package and values diverse backgrounds and experiences. The role is based in Arlington, VA, and offers the opportunity to make a significant impact on Amazon's global operations. This is an excellent opportunity for someone with both software engineering and machine learning expertise who wants to work on large-scale, impactful projects at one of the world's leading technology companies.