Meta is seeking an AI Software Engineer to join our Research & Development teams. The ideal candidate will have industry experience working on AI Infrastructure related topics.

Software Engineer, Systems ML - Training Efficiency Responsibilities

• 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 deep, 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 team

Minimum Qualifications

• 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: ML systems, AI infrastructure, high performance computing, performance optimizations, or Machine learning frameworks (e.g. PyTorch), numerics and SW/HW co-design


• Experience developing AI-System infrastructure or AI algorithms in C/C++ or Python

Preferred Qualifications

• Master/PhD degree in Computer Science, Computer Engineering


• Experience with distributed systems or on-device algorithm development


• Experience with training vision and language models


• Technical leadership experience

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