Software Engineer, Systems & ML Infrastructure - MSL FAIR Foundations

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 environments
  Develop orchestration, scheduling, data, and artifact-management systems that make the 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

Minimum Qualifications:

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
3+ years of software engineering experience in building backend, distributed, data, or machine learning infrastructure
Proficiency in Python, C++, or another systems programming language
Experience designing, implementing, and operating reliable services, platforms, or data-processing systems
Experience independently delivering medium- to large-scale technical projects from design through production operation
Demonstrated knowledge of software engineering practices, including testing, code review, observability, incident response, and performance analysis
Ability 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 processing
Experience with distributed compute systems, workflow orchestration, containers, cluster schedulers, or cloud infrastructure
Experience with performance profiling, resource efficiency, reliability engineering, and production observability
Familiarity with language model post-training workflows, including supervised fine-tuning, reinforcement learning, evaluation, and inference, and the infrastructure needed to support them at scale
Experience building internal platforms or developer tools used by multiple teams in fast-moving technical environments

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 Whats App 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.
For those who live in or expect to work from California if hired for this position, please click here for additional information.
United States of America: $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.

Equal Employment Opportunity:

Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.
Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.
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