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QA Engineering Lead, AI Native

Meta
Menlo Park, CA Full-time 3/24/2026 $138,000 - $191,000 a year
Undergraduate with 5+ Years of Experience
Approval 99%Total filings 6,588New hires 3,344
👑 Elite Sponsor
FY 2025

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

  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 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
  • Experience changing priorities quickly and adapt effectively in a fast-moving product development cycle

Responsibilities

  • Build and foster a quality-driven engineering environment that enables rapid, confident product releases
  • Develop and implement robust evaluation processes for AI models
  • Drive the quality for products and features, assess risks, and ensure features ship with a high quality bar
  • Plan, develop, and execute comprehensive test strategies across core Meta products and platforms
  • Lead quality assurance efforts that align with product objectives
  • Solve cross-platform engineering challenges and contribute impactful ideas to improve quality
  • Implement and evolve QA processes to obtain effective test signals
  • Define quality metrics and implement measurements to determine test effectiveness
  • Partner with engineering and infrastructure teams to leverage automation for scalable solutions
  • Apply Responsible AI practices including safety, ethics, alignment, and explainability

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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