Systems ML Engineer — AI Infrastructure

Meta; Seattle (WA); On-site; USD 184,000 - 257,000; Full time

Job summary

Meta is seeking an AI Software Engineer to join our AI Infrastructure and R&D teams in Seattle. The role focuses on building and optimizing intelligent ML systems, applying hardware acceleration, and driving data-driven improvements across multiple groups.

The candidate should have a strong foundation in AI infrastructure, C/C++ or Python, and experience with ML frameworks like PyTorch. Leadership and collaboration skills are valued as you mentor others and define impactful use cases.

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, or related technical field (or equivalent practical experience)
• Specialized experience in AI infrastructure/ML systems: hardware accelerators, AI frameworks, high-performance computing, or performance optimizations (e.g. PyTorch)
• 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 intelligent ML systems
• Set goals for project impact, AI system design, and developer efficiency
• Collaborate with partners to deliver impact through data-driven analysis
• Drive large efforts across multiple teams
• Define use cases and benchmarks to evaluate approaches
• Deeply understand how ML infrastructure interacts with surrounding systems
• Mentor engineers and researchers to improve overall technical quality

Skills

AI infrastructure

Python

C/C++

Data-driven analysis

Mentoring

Education

Bachelor's degree in Computer Science/Computer Engineering or related field

Tools

PyTorch

CUDA

Job description

Meta is seeking an AI Software Engineer to join our AI Infrastructure and R&D teams in Seattle. The role focuses on building and optimizing intelligent ML systems, applying hardware acceleration, and driving data-driven improvements across multiple groups.

The candidate should have a strong foundation in AI infrastructure, C/C++ or Python, and experience with ML frameworks like PyTorch. Leadership and collaboration skills are valued as you mentor others and define impactful use cases.