Staff ML Platform Engineer - Self-Serve Pipelines
Summary
The Staff ML Platform Engineer will design and build the company's ML platform architecture, focusing on creating self-service workflows, deployment pipelines, and observability tools to support global data science operations.
Scientific Games is seeking a Staff Machine Learning Engineer to define and build the ML platform architecture. You will establish architectural foundations, reusable tooling, and a platform roadmap to accelerate Data Scientists’ velocity with reliable self-service workflows.
The role focuses on designing end-to-end platform primitives for batch/inference, deployment, and observability, while mentoring engineers and partnering with DS leadership to scale the platform globally.
