Software Engineer - Systems and ML Infrastructure

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. Software Engineer, Systems & ML Infrastructure - MSL FAIR Foundations Responsibilities: Design, build, and operate scalable infrastructure for running evaluations across large model fleets, datasets, modalities, and compute environmentsDevelop orchestration, scheduling, data, and artifact-management systems that make the evaluation workflows reliable and reproducibleBuild APIs, abstractions, and developer tools that allow researchers to launch, debug, compare, and interpret evaluations efficientlyImprove system reliability through testing, observability, capacity planning, performance optimization, and automated failure recoveryPartner with research and engineering teams to translate new evaluation requirements into reusable platform capabilities Minimum Qualifications: 3+ years of software engineering experience in building backend, distributed, data, or machine learning infrastructureProficiency in Python, C++, or another systems programming languageExperience designing, implementing, and operating reliable services, platforms, or data-processing systemsExperience independently delivering medium- to large-scale technical projects from design through production operationDemonstrated knowledge of software engineering practices, including testing, code review, observability, incident response, and performance analysisAbility to work effectively with researchers and engineers and to adapt to rapidly changing requirements Preferred Qualifications: Experience building infrastructure for large-scale machine learning training, inference, evaluation, or data processingExperience with distributed compute systems, workflow orchestration, containers, cluster schedulers, or cloud infrastructureExperience with performance profiling, resource efficiency, reliability engineering, and production observabilityFamiliarity with language model post-training workflows, including supervised fine-tuning, reinforcement learning, evaluation, and inference, and the infrastructure needed to support them at scale About Meta: Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics. Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com. $154,003/year to $217,000/year + bonus + equity + benefits Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.