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AI Software Engineer, Systems ML - Wearables AI

Meta· Artificial Intelligence
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Hybrid (Seattle, WA)$154k - $217kFull-timePosted 2mo ago

About the role

AI Software Engineer role focused on AI infrastructure and systems challenges across Meta's platforms, with emphasis on hardware acceleration, ML infrastructure, and wearable AI applications.

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 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

Qualifications

  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience (repeated thrice in original)
  • 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. PyTorch), numerics and SW/HW co-design
  • Experience developing AI-System infrastructure or AI algorithms in C/C++ or Python

Skills

Required:AI infrastructureML systems designData-driven analysisCollaboration across teams
Nice to have:Leadership / mentorship
Last updated Oct 23, 2026. Interested? Apply on the company site.

About Meta

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