Systems ML Engineer - Scalable AI Infrastructure

Meta; Pierre (SD); On-site; USD 154,000 - 217,000; Full time

Job summary

Meta is seeking a Software Engineer for the Systems ML Engineering team to build and optimize ML infrastructure that powers Meta's products at massive scale.

You will design and develop high-performance ML systems from training and inference pipelines to hardware-aware optimizations, working with researchers, platform engineers, and product teams to accelerate workloads and improve AI infrastructure for billions of users.

Qualifications

• BS degree in CS, CE or related field, or equivalent practical experience.
• 6+ years in software engineering focusing on ML systems or AI infra.
• Experience building ML training/inference pipelines with PyTorch/TensorFlow.
• Strong background in distributed systems and large-scale ML workloads.
• Proficient in C++ and Python for performance-critical code.
• Skilled in profiling to identify and fix bottlenecks.

Skills

ML systems

C++

Python

Profiling

System design

Cross-functional

SLO tracking

Technical reviews

Mentoring

AI workflow

Feature flags

GPU acceleration

Education

Bachelor's degree in CS or related

Tools

CUDA

MLIR

LLVM

TensorFlow

PyTorch

XLA

ROCm

Git

Job description

Meta is seeking a Software Engineer for the Systems ML Engineering team to build and optimize ML infrastructure that powers Meta's products at massive scale.

You will design and develop high-performance ML systems from training and inference pipelines to hardware-aware optimizations, working with researchers, platform engineers, and product teams to accelerate workloads and improve AI infrastructure for billions of users.