Lead Systems ML Engineer — Scalable AI Infrastructure

Meta; Frankfort (KY); On-site; USD 154,000 - 217,000; Full time

Job summary

Meta is seeking a Software Engineer for the Systems ML Engineering team to design and optimize ML infrastructure at massive scale. You will build high-performance training and inference pipelines, optimize hardware-aware workloads, and collaborate with researchers and product teams to accelerate AI platforms serving billions of users.

You will mentor engineers, drive system-level metrics and SLOs, and participate in design reviews to improve reliability and efficiency across the ML stack.

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, or equivalent practical experience.
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Skills

Large-scale ML systems design

C++ & Python performance

Profiling & performance analysis

Distributed computing architectures

ML infrastructure benchmarking

System metrics & SLOs

Technical design reviews

Mentoring engineers

AI-assisted development workflows

Feature flagging & experimentation

Education

Bachelor's degree in CS/CE or equivalent

Tools

CUDA

ROCm

MLIR

LLVM

TVM

XLA

IREE

Job description

Meta is seeking a Software Engineer for the Systems ML Engineering team to design and optimize ML infrastructure at massive scale. You will build high-performance training and inference pipelines, optimize hardware-aware workloads, and collaborate with researchers and product teams to accelerate AI platforms serving billions of users.

You will mentor engineers, drive system-level metrics and SLOs, and participate in design reviews to improve reliability and efficiency across the ML stack.