Staff ML Infrastructure Engineer
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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