To support the development of automated PCB design solutions, the full-time remote Staff ML Systems Engineer will design and maintain ML infrastructure, manage data pipelines, and improve experiment tracking and CI/CD processes. Key responsibilities Design, build, and maintain ML infrastructure across training, evaluation, serving, and monitoring Own data pipelines including generation, cleaning, validation, and versioning Implement and maintain CI/CD pipelines and A/B testing infrastructure Required qualifications 7+ years of industry experience building and operating ML systems in production Proven track record as a key player in the success of a production-grade ML system end-to-end Deep familiarity with training pipelines, serving infrastructure, and experiment management Strong software engineering fundamentals and systems design sensibility Experience driving design reviews and improving engineering processes within a team