Y Combinator Software Engineer, Systems & ML Infrastructure - MSL FAIR Foundations
Summary
This role involves building scalable platforms and services to evaluate advanced AI models at Meta Superintelligence Labs. You will design distributed systems and infrastructure to manage model artifacts, datasets, and evaluation workflows to support research and model development.
Meta is seeking Software Engineers to join the Frontier Evals Research team within Meta Superintelligence Labs. Evaluations are a critical part of AI progress at Meta Superintelligence Labs, determining what capabilities get built, which features get prioritized, and how quickly our models improve. As a Systems and ML Infrastructure Engineer on this team, you will build the platforms and services that enable reliable evaluation of our most advanced AI models across text, vision, audio, and beyond. You'll work alongside researchers and engineers to turn rapidly evolving research workflows into scalable, dependable infrastructure.
This is a highly technical software engineering role focused on distributed systems, developer infrastructure, and production-grade ML platforms. You will design and own systems for scheduling and executing evaluation workloads, managing datasets and model artifacts, monitoring correctness and performance, and making results reproducible and easy to consume. The infrastructure you build will directly support research decisions and major model lines within MSL, making reliability, scalability, operational excellence, and engineering rigor paramount.
You will succeed by moving quickly in an open-ended research environment while building durable systems, reducing operational toil, and creating abstractions that help researchers iterate faster. If you are passionate about building the technical foundation for frontier AI development and thrive in fast-paced, high-impact environments, we encourage you to apply.