Senior ML Infrastructure Engineer

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