Software Engineers on the Product track build and ship features across Facebook, Instagram, WhatsApp, Messenger, and Threads, used by billions of people. They work full-stack across React/React Native front ends, GraphQL APIs, and PHP/Hack or Python services, run fast data-driven A/B experiments, and iterate based on live product metrics in small, empowered teams alongside Product Managers, Designers, and Data Scientists.

Essential skills include full-stack development, experimentation and data-driven iteration, and close cross-functional collaboration with product, design, and data teams.

Infrastructure engineers design and scale distributed systems that serve billions of requests per day across storage, caching, messaging, and networking. They work on core infrastructure such as TAO, Memcache, RocksDB, Presto/Hive data pipelines, and custom AI compute clusters, optimizing for reliability, latency, and cost efficiency at global scale while partnering with SRE and capacity-engineering teams.

Essential skills include distributed-systems design, performance and reliability optimization, and collaboration on incident response and performance tuning at scale.

ML/AI engineers build and fine-tune ranking, recommendation, and generative AI models, including Meta's Llama model family. They develop ML pipelines for ads ranking, content integrity, and personalization at massive scale, and work within Meta Superintelligence Labs on applied research and production model deployment.

Essential skills include proficiency with PyTorch and Meta's internal ML tooling for training, evaluation, and serving, along with strong applied machine-learning fundamentals.

Production Engineers hold a hybrid software-engineer / site-reliability role responsible for the health of Meta's production systems. They automate operations, build tooling, and resolve large-scale distributed-systems incidents, with an interview loop that blends coding, systems/Linux fundamentals, and troubleshooting scenarios.

Essential skills include operational automation, systems and Linux fundamentals, and distributed-systems troubleshooting.

Security Engineers identify and remediate vulnerabilities across Meta's products, infrastructure, and AI systems. They build automated security tooling, threat-detection systems, and incident-response playbooks, and partner with product teams to embed security and privacy-by-design practices.

Essential skills include vulnerability identification and remediation, security tooling and threat detection, and secure product collaboration.