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Meta Qa Jobs (NOW HIRING)

Meta

QA Engineering Lead, AI Native

Menlo Park, CA · On-site

$138K/yr

Meta is seeking a QA Engineering Lead with expertise in AI product and model testing to drive the quality vision for our next-generation AI-powered products. In this role, you will lead the design ...

Meta

Regional Quality Manager - Megasite

Miami, FL

$150K/yr

Meta is seeking a Regional Quality Manager to join our Data Center Design, Engineering ... Experience leading QA/QC and Cx programs * Experience in mission critical power and cooling ...

FasterOutcomes

Software QA Analyst - Engg

Boston, MA · Remote

We are emerging out of stealth mode with a strong team from Uber, PayPal, and Meta, alongside a ... Job Overview:We're seeking a detail-oriented QA Automation Engineer to ensure the quality and ...

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How much do meta qa jobs pay per hour?

As of Jun 4, 2026, the average hourly pay for meta qa in the United States is $40.13, according to ZipRecruiter salary data. Most workers in this role earn between $28.12 and $49.28 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a QA (Quality Assurance) Analyst at Meta, and why are they important?

To thrive as a QA Analyst at Meta, you need a solid understanding of software testing methodologies, attention to detail, and a relevant degree such as computer science or information technology. Familiarity with test automation tools (like Selenium or Appium), bug tracking systems (such as JIRA), and scripting languages is typically required. Strong problem-solving skills, effective communication, and the ability to collaborate across teams set top performers apart in this role. These skills ensure the delivery of high-quality products by identifying issues early, streamlining development, and enhancing user experience.

What are some common challenges faced by a QA Engineer at Meta, and how can applicants prepare for them?

QA Engineers at Meta often work in fast-paced, cross-functional teams where rapid changes and new feature rollouts are frequent. One of the main challenges is keeping up with evolving technologies and ensuring test coverage for complex, large-scale systems. To prepare, applicants should be comfortable with automation tools, adaptable to shifting priorities, and proactive in communicating with developers and product managers. Emphasizing experience in automated testing and collaborative problem-solving will help applicants stand out.

What are Meta QA professionals?

Meta QA professionals are quality assurance specialists who focus on ensuring the accuracy, reliability, and effectiveness of metadata in digital systems or products. Their responsibilities include validating metadata structures, verifying data consistency, and testing metadata integration with various applications. Meta QA roles are essential in environments where metadata plays a key role, such as content management systems, digital libraries, and large-scale databases. They collaborate with developers, data architects, and content managers to ensure that metadata standards and protocols are properly implemented.
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QA Engineering Lead, AI Native

QA Engineering Lead, AI Native

Meta

Menlo Park, CA • On-site

$138K/yr

Full-time

Posted 18 days ago

Meta rating

7.5

Company rating: 7.5 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

119th of 185 rated software companies

Job description

Meta is seeking a QA Engineering Lead with expertise in AI product and model testing to drive the quality vision for our next-generation AI-powered products. In this role, you will lead the design and execution of comprehensive test strategies for AI models spanning text, image, and voice, ensuring our solutions are robust, reliable, and ethically sound. You will work on products built with cutting-edge technology, serving billions of users worldwide, and play a pivotal role in shaping the future of AI quality at Meta.
QA Engineering Lead, AI Native Responsibilities:
  • Build and foster a quality-driven engineering environment that enables rapid, confident product releases, ensuring that quality is embedded throughout the development lifecycle
  • Develop and implement robust evaluation processes for AI models, including prompt engineering, scenario-based, and adversarial testing for text, image, and voice AI systems
  • Drive the quality for products and features, assess risks, and ensure features ship with a high quality bar, balancing speed and experience
  • Plan, develop, and execute comprehensive test strategies across core Meta products and platforms, leveraging both manual and automated approaches
  • Lead quality assurance efforts that align with product objectives, developing scalable solutions to support rapid product iteration and deployment
  • Solve cross-platform engineering challenges and contribute impactful ideas to improve quality, reliability, and user experience across diverse product surfaces
  • Implement and evolve QA processes to obtain effective test signals and scale testing efforts across multiple products, ensuring continuous improvement
  • Define quality metrics and implement measurements to determine test effectiveness, testing efficiency, and overall product quality, using data-driven insights to guide decisions
  • Partner with engineering and infrastructure teams to leverage automation for scalable solutions, preventing regressions and ensuring the reliability of products and AI models
  • Apply Responsible AI practices including safety, ethics, alignment, and explainability by building safeguards and quality controls to validate AI outputs, ensuring transparency, and compliance with ethical standards

Minimum Qualifications:
  • 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) that generate or transform text, images, and/or voice, including end-to-end feature validation and user experience quality
  • 1+ years of hands-on experience testing, debugging, and evaluating LLM/multimodal model behavior, including defining and applying quality standards for accuracy, relevance, grounding, safety/policy compliance, and cultural/locale sensitivity, and driving model-quality regressions to resolution
  • Experience effectively utilizing AI technologies and tools (e.g., large language models, agents, etc.) to enhance QA workflows
  • Experience collaborating cross-functionally and contributing to technical decisions through influence, communication, and execution
  • Experience changing priorities quickly and adapt effectively in a fast-moving product development cycle

Preferred Qualifications:
  • Experience in Python, PHP, Java, C/C++, or equivalent programming language
  • Experience leading and executing black-box and white-box testing strategies (test planning, coverage, execution, and triage)
  • Experience partnering with AI/ML research and engineering teams, and communicating effectively with technical and non-technical stakeholders at multiple levels
  • Experience building AI-assisted test automation/test agents using LLMs and agent frameworks (e.g., internal or industry tools) to generate, execute, and maintain tests
  • Experience using analytics to define, measure, and improve QA operational KPIs (e.g., defect escape rate, detection latency, automation coverage, flake rate)
  • Experience designing and building test automation frameworks that leverage generative AI for test creation, prioritization, and maintenance
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$138,000/year to $191,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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