Systems & ML Infra Engineer for Frontier AI Evaluations

Meta; Menlo Park, Northern (CA, KY); Hybrid; USD 180,000 - 240,000; Full time

Job summary

Meta is seeking Software Engineers to join the Frontier Evals Research team within Meta Superintelligence Labs. You will build platforms and services for evaluating advanced AI models across data modalities, enabling researchers to iterate quickly.

This highly technical role focuses on distributed systems, developer infrastructure, and production-grade ML platforms, collaborating with researchers and engineers to deliver reliable, scalable systems.

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, or equivalent.
• 3+ years building backend, distributed, data, or ML infrastructure.
• Proficiency in Python, C++, or similar systems language.
• Experience designing reliable services and data processing systems.
• Experience delivering medium to large technical projects from design to production.

Responsibilities

• Design and own systems for scheduling and executing evaluation workloads.
• Manage datasets and model artifacts for reproducible research.
• Monitor correctness, performance, and reliability of platforms.
• Build scalable infrastructure supporting frontier AI research.

Skills

Python

C++

Distributed systems

ML infrastructure

Data processing

Systems design

Observability

Production operations

Research collaboration

Cloud infrastructure

Education

Bachelor's degree in CS/CE

Tools

Containers

Kubernetes

Workflow orchestration

Job description

Meta is seeking Software Engineers to join the Frontier Evals Research team within Meta Superintelligence Labs. You will build platforms and services for evaluating advanced AI models across data modalities, enabling researchers to iterate quickly.

This highly technical role focuses on distributed systems, developer infrastructure, and production-grade ML platforms, collaborating with researchers and engineers to deliver reliable, scalable systems.