Machine Learning Infrastructure Engineer

Leading the technical vision for ML platform initiatives, the full-time Staff Machine Learning Infrastructure Engineer will architect scalable infrastructure that supports ML capabilities, focusing on data processing, feature management, and model serving in a hybrid work environment. Key Responsibilities: Architect end-to-end ML infrastructure and design next-generation ML platforms Drive technical excellence through standardization, automation, and best practices for ML observability Lead cross-functional initiatives and mentor platform engineers to enhance ML development and deployment Required Qualifications: 10+ years of software engineering experience, with 5+ years focusing on ML infrastructure Deep expertise in distributed systems and data processing at scale Strong background in ML platform development and MLOps practices Proven experience building production ML infrastructure for critical business applications Expert-level knowledge in large-scale data processing systems and ML serving platforms