ML Systems Engineer: AI Infra & GPU Acceleration

Meta; San Francisco (CA); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Bonus

Equity

Job summary

Meta is seeking an engineer to build and optimize intelligent ML systems leveraging AI infrastructure and hardware acceleration. The role leads large-scale efforts across teams, defines benchmarks, and mentors other engineers and research scientists.

The candidate should have a strong background in ML/DL domains such as GPU architecture or ML frameworks, with proficiency in C++ or Python and experience with AI-system infrastructure.

Qualifications

• Bachelor’s degree in a technical field is required.

Skills

AI Infrastructure

Hardware Acceleration

GPU Architecture

ML Frameworks

High Performance Computing

PyTorch

C++

Python

Distributed Systems

On-device Algorithms

Recommendation Models

Ranking Models

Prompt Engineering

Agent Orchestration

Technical Leadership

Performance Optimization

Education

Bachelor’s degree in a technical field

Tools

GPU architectures

ML frameworks

Job description

Meta is seeking an engineer to build and optimize intelligent ML systems leveraging AI infrastructure and hardware acceleration. The role leads large-scale efforts across teams, defines benchmarks, and mentors other engineers and research scientists.

The candidate should have a strong background in ML/DL domains such as GPU architecture or ML frameworks, with proficiency in C++ or Python and experience with AI-system infrastructure.