JobsQA Engineering Lead, AI Native
Job description
Meta is looking for a QA Engineering Lead with expertise in AI product and model testing to ensure the quality of next-generation AI-powered products. The role involves leading comprehensive test strategies for AI models across text, image, and voice, while fostering a quality-driven engineering environment.
Requirements
- 5+ years of experience in quality assurance, test engineering, and test automation
- 1+ years of hands-on experience testing AI-powered products (web, iOS, and/or Android)
- 1+ years of hands-on experience testing, debugging, and evaluating LLM/multimodal model behavior
- Experience effectively utilizing AI technologies and tools to enhance QA workflows
- Experience collaborating cross-functionally and contributing to technical decisions
Responsibilities
- Build and foster a quality-driven engineering environment for rapid product releases
- Develop and implement robust evaluation processes for AI models
- Drive quality for products and features, assessing risks and ensuring high quality
- Plan, develop, and execute comprehensive test strategies across Meta products
- Lead quality assurance efforts that align with product objectives
Benefits
- Employees at Meta are often offered comprehensive benefits, including medical/dental/vision coverage, mental-health resources, family planning support (fertility, adoption, surrogacy), and caregiving programs. Financial benefits typically include a competitive retirement plan, equity awards, life insurance, and access to financial coaching and legal support. Time-off benefits commonly feature generous PTO and holidays, unlimited sick time, various paid leaves, flexible “Global Travel Days,” and a 30-day paid break every five years.
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