Apply relevant AI infrastructure and hardware acceleration techniques to build & optimize our intelligent ML systems that improve Meta's products and experiences Goal setting related to project impact, AI system design, and infrastructure/developer efficiency Directly or influencing partners to deliver impact through thorough data-driven analysis Drive large efforts across multiple teams Define use cases, and develop methodology & benchmarks to evaluate different approaches Apply in-depth knowledge of how the ML infra interacts with the other systems around it Mentor other engineers / research scientists & improve the quality of engineering work in the broader teamBachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience Specialized experience in one or more of the following machine learning/deep learning domains: Hardware accelerators architecture, GPU architecture, machine learning compilers, or ML systems, AI infrastructure, high performance computing, performance optimizations, or Machine learning frameworks (e.g. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.