Machine Learning Infrastructure Engineer

Job Summary

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