Staff ML Infrastructure Engineer

Job Summary

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

Key Responsibilities

• Lead the design, implementation, and deployment of scalable platforms and tools for machine learning model training and evaluation
• Own complex technical projects end-to-end, making key architectural decisions and participating in team planning and design reviews
• Mentor and onboard junior engineers and interns while driving technical prioritization and collaboration with partner teams

Required Qualifications

• 5+ years of experience in building large-scale distributed systems or advanced ML systems
• Proven track record of designing robust frameworks with high-quality APIs
• Deep understanding of machine learning algorithms with hands-on application experience
• Expertise in building reliable systems on modern cloud infrastructure
• BS, MS, or PhD in Computer Science, Mathematics, or equivalent practical experience