Software Engineer, PAR Regulatory Readiness

About the job

Meta is seeking a Research Engineer specializing in AI to help define and drive the technical direction of AI systems that power products used by billions of people worldwide. In this role, you will architect and deliver large-scale AI infrastructure, foundational model capabilities, and intelligent systems that span Meta's family of apps and platforms while preparing for upcoming AI regulations. You will identify the hardest unsolved problems at the intersection of AI research and production engineering, translate cutting-edge advances into reliable, high-impact systems, and set the technical standard for how AI is built and deployed across the organization.

Responsibilities

Identify and solve the most complex AI systems challenges across the organization, including problems that span model training, inference optimization, and large-scale deployment pipelines Architect extensible, reliable foundations for AI infrastructure that enable multiple teams to build and iterate on machine learning models at scale Define technical strategy and roadmap for AI platform capabilities, gaining alignment across engineering, research, and product organizations Drive cross-functional execution of multi-year AI initiatives, establishing metrics that connect technical progress to organization-level priorities Establish invariants, testing frameworks, and verification standards that prevent entire categories of model correctness and reliability issues in production AI systems Identify and resolve systemic performance bottlenecks across the AI stack, from data ingestion and feature engineering through model serving and real-time inference Partner with AI research teams to translate theoretical advances in machine learning into production systems that deliver measurable improvements to Meta's products Mentor engineers across the organization on AI systems design, debugging techniques, and engineering best practices, serving as a sought-after technical advisor Evaluate emerging AI technologies, frameworks, and industry trends to assess their applicability and risk to Meta's AI strategy and competitive position Collaborate with legal, policy, and compliance teams to ensure AI systems meet privacy, security, and integrity standards across all deployment contexts