Senior ML Infrastructure Engineer

Job Summary

A company is looking for a Senior ML Infrastructure Engineer - Embodied AI.

Key Responsibilities

• Design, implement, and deploy scalable platforms and tools for machine learning training and evaluation workflows
• Drive complex technical projects with ownership of implementation, code quality, and system reliability
• Contribute to technical design discussions and collaborate with senior engineers and technical leads

Required Qualifications

• 3+ years of experience with large-scale distributed systems or ML infrastructure
• Experience designing robust services or frameworks with durable APIs
• Solid understanding of machine learning workflows and hands-on experience in production environments
• Experience building reliable, high-performance systems on modern cloud infrastructure
• BS, MS, or PhD in Computer Science, Mathematics, or equivalent practical experience