Frontier ML Evaluation Systems Engineer

Meta

Menlo Park (CA)

On-site

USD 150,000 - 190,000

Full time

14 days+
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Job summary

Meta seeks Software Engineers to join the Frontier Evals Research team within Meta Superintelligence Labs. The role focuses on building scalable, production-grade ML infrastructure for evaluating advanced AI models across multiple modalities.

You will design and operate systems for scheduling, data and artifact management, and observability to support research decisions. Collaborate with researchers and engineers in a fast-paced environment to move quickly while delivering reliable platforms and

Qualifications

  • Bachelor's degree in Computer Science, Computer Engineering, or equivalent practical experience.
  • 3+ years of software engineering experience in backend, distributed, data, or ML infrastructure.
  • Proficiency in Python, C++, or another systems programming language.
  • Experience designing, implementing, and operating reliable services, platforms, or data-processing systems.
  • Experience delivering medium- to large-scale technical projects from design through production operation.
  • Knowledge of software engineering practices including testing, observability, incident response, and performance analysis.

Responsibilities

  • Design, build, and operate scalable infrastructure for running evaluations across large model fleets, datasets, modalities, and compute environments.
  • Develop orchestration, scheduling, data, and artifact-management systems that make evaluation workflows reliable and reproducible.
  • Build APIs, abstractions, and developer tools that allow researchers to launch, debug, compare, and interpret evaluations efficiently.
  • Improve system reliability through testing, observability, capacity planning, performance optimization, and automated failure recovery.
  • Partner with research and engineering teams to translate new evaluation requirements into reusable platform capabilities.

Skills

Python
C++
Distributed systems
Backend infrastructure
Observability

Education

Bachelor's degree in CS/Engineering

Tools

Kubernetes
Cloud infrastructure
Containers

Job description

Meta seeks Software Engineers to join the Frontier Evals Research team within Meta Superintelligence Labs. The role focuses on building scalable, production-grade ML infrastructure for evaluating advanced AI models across multiple modalities.

You will design and operate systems for scheduling, data and artifact management, and observability to support research decisions. Collaborate with researchers and engineers in a fast-paced environment to move quickly while delivering reliable platforms and

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