ML Systems Infrastructure Engineer

Meta; San Francisco (CA); On-site; USD 184,000 - 257,000; Full time

Job summary

Meta is seeking an AI Software Engineer to join our Research & Development teams. The ideal candidate will apply AI infrastructure and ML system design to advance Meta's products and experiences.

We are hiring in multiple locations and value technical leadership, collaboration across teams, and building scalable AI solutions with hardware acceleration. Candidates with strong C/C++/Python experience will fit well in this role.

Qualifications

• Bachelor's degree in CS/CE or equivalent practical experience.
• Specialized experience in ML domains: hardware accelerators architecture, GPU architecture, machine learning compilers, or ML systems, AI infrastructure, high performance computing, performance optimizations, or ML frameworks.
• Experience developing AI-System infrastructure or AI algorithms in C/C++ or Python.

Responsibilities

• Apply AI infrastructure and hardware acceleration techniques to build and 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

Skills

C/C++

Python

AI infrastructure

GPU architecture

ML systems

Education

Bachelor's degree in CS/CE or equivalent

Tools

PyTorch

Job description

Meta is seeking an AI Software Engineer to join our Research & Development teams. The ideal candidate will apply AI infrastructure and ML system design to advance Meta's products and experiences.

We are hiring in multiple locations and value technical leadership, collaboration across teams, and building scalable AI solutions with hardware acceleration. Candidates with strong C/C++/Python experience will fit well in this role.