Partnering with product and engineering leadership, the full-time remote Principal Machine Learning Engineer will set the technical vision and strategy for the machine learning platform, focusing on scalable data pipelines, MLOps best practices, and providing mentorship across engineering teams. Key Responsibilities Translate business and product objectives into a multi-quarter technical strategy and roadmap for the ML platform Define reference architectures and standards for scalable data and ML pipelines, ensuring alignment with engineering teams Establish practices for reliability, observability, and performance of ML systems in production, including security architecture and compliance monitoring Required Qualifications Expert level in Python and Java with strong software engineering fundamentals Deep experience designing and building ML platforms and ML Ops workflows at scale Extensive experience with cloud platforms (AWS, Azure, and/or GCP) and container orchestration (Docker, Kubernetes) Demonstrated track record of setting technical direction and driving org-wide technical initiatives Bachelor's degree or higher in Computer Science, Machine Learning, or a related field