Machine Learning Engineer - Automated Optical Inspection, Center for Quantum Computing

The AWS Center for Quantum Computing (CQC) is seeking a Machine Learning Engineer to join their Device Lifecycle software development team. This role focuses on developing optical defect detection ML models to enhance quality assurance processes and accelerate device manufacturing pipelines. The position offers a unique opportunity to work at the intersection of quantum computing and machine learning, developing ML-driven solutions for real-world applications.

The role requires strong engineering principles, problem-solving skills, and the ability to work effectively with research scientists. You'll be responsible for developing and maintaining ML platforms, implementing computer vision models, and establishing active learning pipelines. The position offers exposure to cutting-edge technologies in both quantum computing and artificial intelligence.

As part of AWS, the world's leading cloud platform, you'll work in an environment that values innovation, diversity, and continuous learning. The company offers competitive compensation ($129,300 - $223,600 based on location), comprehensive benefits, and significant career growth opportunities. The position is based in Pasadena, CA, and requires either U.S. citizenship or permanent residency due to export control requirements.

The ideal candidate will have 3+ years of software development experience, strong ML expertise, and a track record of deploying computer vision models in production environments. You'll be joining a team that's working on pioneering quantum computing technologies while maintaining high standards for software quality and reliability.

This role offers the chance to contribute to groundbreaking research while building practical solutions that advance quantum computing capabilities. You'll work in an inclusive environment that supports professional development, work-life harmony, and collaboration across diverse teams.