QA Engineering Lead (AI)

About the job

We’re looking for QA Engineering Leads to help shape the quality of our GenAI products at Meta. You enjoy solving complex quality challenges, building scalable testing and evaluation solutions, and partnering with engineering and research teams to ship products rapidly and with confidence. In this role, you will independently lead quality engineering for a product area, turn ambiguous requirements into measurable quality standards, and drive improvements across the teams that build and support it.

Responsibilities

Own the end-to-end quality strategy for a Gen AI product area, from early development and model evaluation through launch and ongoing product improvements Perform hands-on testing of consumer-facing and business-facing applications, APIs, and AI models Design, implement, and evolve AI model evaluation processes, including representative datasets, product-aligned weighted scoring frameworks, automated evaluations, human review, and regression coverage Establish product-specific quality standards for model behavior, including correctness, relevance, safety, and robustness, in partnership with engineering, product, and research teams Assess quality risks, identify coverage gaps, and drive resolution of issues across model behavior, client applications, server systems, and infrastructure Plan and execute risk-based test strategies covering functional, integration, end-to-end, performance, stress, and cross-platform testing Build and maintain reusable test automation and evaluation tooling, integrate quality checks into development workflows, and improve the reliability and speed of test feedback Define quality metrics and use data to improve test effectiveness, testing efficiency, regression prevention, and the overall user experience Lead cross-team quality projects, align stakeholders on priorities and dependencies, and provide evidence-based recommendations on release readiness Investigate complex failures, identify root causes, and partner with engineering and infrastructure teams to prevent recurring defects Mentor QA engineers in test design, automation, and AI evaluation, and contribute to a quality-driven engineering culture