AI Systems ML Engineer - Infra & Acceleration

Meta

Washington (District of Columbia)

On-site

USD 184,000 - 257,000

Full time

9 days ago
Application generator

A complete application in a minute — tailored resume and cover letter, ready to send.

Get past ATS filters

Benefits offered by this job

Bonus
Equity
Benefits

Job summary

Meta in Washington, DC seeks an AI Software Engineer to join our Research & Development teams. The role focuses on AI infrastructure, hardware acceleration, and building scalable ML systems that power Meta’s products and experiences.

You will apply advanced techniques and collaborate across teams to deliver impactful results. Candidates should hold a Bachelor’s degree in CS or a related field and have hands-on experience with Python or C/C++, PyTorch, and performance optimizations.

Qualifications

  • Bachelor's degree in CS/CE or equivalent practical experience.
  • Experience with AI infrastructure or ML systems.
  • Experience in C/C++ or Python for AI-system development.

Responsibilities

  • Apply AI infrastructure and hardware acceleration techniques to build and optimize ML systems.
  • Set goals related to project impact and infrastructure efficiency.
  • Collaborate with partners to deliver impact through data-driven analysis.
  • Drive large efforts across multiple teams.
  • Define use cases and develop benchmarks to evaluate approaches.
  • Understand how ML infra interacts with surrounding systems.
  • Mentor engineers/researchers to improve engineering quality.

Skills

AI infrastructure
Hardware acceleration
ML systems
C/C++
Python
PyTorch

Education

Bachelor's degree in CS/CE or equivalent
Master/PhD in CS/CE

Tools

GPU architectures
PyTorch

Job description

Meta in Washington, DC seeks an AI Software Engineer to join our Research & Development teams. The role focuses on AI infrastructure, hardware acceleration, and building scalable ML systems that power Meta’s products and experiences.

You will apply advanced techniques and collaborate across teams to deliver impactful results. Candidates should hold a Bachelor’s degree in CS or a related field and have hands-on experience with Python or C/C++, PyTorch, and performance optimizations.

Get your free, confidential resume review.

or drag and drop your file here.

Similar jobs

Similar jobs worth comparing

Systems ML Engineer — AI Infra & Acceleration
Systems ML Engineer — AI Infra & Acceleration

Meta • Olympia (WA)

On-site
USD 184,000 - 257,000
AI Systems Engineer: ML Infra & Hardware Acceleration
AI Systems Engineer: ML Infra & Hardware Acceleration

Meta • Denver (CO)

On-site
USD 184,000 - 257,000
Systems ML Engineer - AI Infra & Hardware
Systems ML Engineer - AI Infra & Hardware

Meta • Trenton (NJ)

On-site
USD 184,000 - 257,000
ML Systems Engineer — AI Infrastructure & Acceleration
ML Systems Engineer — AI Infrastructure & Acceleration

Meta • New York (NY)

On-site
USD 154,003 - 217,000
Bonus
Equity
Benefits
ML Systems Engineer: AI Infra & GPU Acceleration
ML Systems Engineer: AI Infra & GPU Acceleration

Meta • San Francisco (CA)

On-site
USD 180,000 - 240,000
Bonus
Equity
Senior Systems ML Engineer: Build High-Performance AI Infra
Senior Systems ML Engineer: Build High-Performance AI Infra

Meta • Honolulu (HI)

On-site
USD 154,000 - 217,000
Senior ML Systems Engineer — Scalable AI Infra
Senior ML Systems Engineer — Scalable AI Infra

Meta • Menlo Park (CA)

On-site
USD 347,000 - 403,000
Software Engineer, Systems ML
Software Engineer, Systems ML

Meta • Trenton (NJ)

On-site
USD 184,000 - 257,000
Software Engineer, Systems ML
Software Engineer, Systems ML

Meta • Olympia (WA)

On-site
USD 184,000 - 257,000
Software Engineer, Systems ML
Software Engineer, Systems ML

Meta • Washington

On-site
USD 184,000 - 257,000
Bonus
Equity
Benefits