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Meta Testing Jobs in Seattle, WA (NOW HIRING)

Meta

Product Design Engineer

Redmond, WA

$118K/yr

Meta's Hardware engineers are at the forefront of innovation, driving the design and development of ... Experience with testing and analysis techniques (e.g., FEA, Simulation, Design of Experiments ...

Meta

Softgoods Developer

Seattle, WA

$144K/yr

Meta is building the next generation of wearable devices and consumer hardware products, and we are ... Familiarity with human factors principles and ergonomic testing methodologies as applied to ...

Meta

Softgoods Developer

Seattle, WA · On-site

$144K - $204K/yr

Meta is building the next generation of wearable devices and consumer hardware products, and we are ... testing methodologies as applied to wearable product comfort • Demonstrated ongoing AI skill ...

Meta

Software Engineer, Databases

Bellevue, WA

$183K/yr

Meta is seeking a Software Engineer specializing in systems software to drive technical direction ... Develop and operationalize testing frameworks, fault injection strategies, and verification ...

Meta

Product Manager, Leadership

Bellevue, WA

$249K/yr

At Meta, we're shaping innovative experiences in service of giving people the power to build ... Drive decision-making through user insights, quantitative analysis and AB testing. * Design ...

Meta

Product Manager, Central Products

Bellevue, WA

$205K/yr

Meta Product Managers work with cross-functional teams of engineers, designers, data scientists ... Drive decision-making through user insights, quantitative analysis, and AB testing * Design ...

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Meta Testing information

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How much do meta testing jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for meta testing in Seattle, WA is $23.18, according to ZipRecruiter salary data. Most workers in this role earn between $19.71 and $24.90 per hour, depending on experience, location, and employer.

What is meta testing?

Meta Testing refers to the process of evaluating the effectiveness and reliability of testing methods or testing frameworks themselves, rather than the product or software being tested. This can involve analyzing test strategies, tools, or methodologies to ensure they deliver accurate and meaningful results. Meta Testing helps organizations optimize their quality assurance processes by identifying gaps or inefficiencies in their testing approaches. It is particularly useful in complex or large-scale software projects where testing practices need continual improvement.

What are the key skills and qualifications needed to thrive as a meta tester?

To thrive as a Meta Tester, you need a solid understanding of software testing principles, attention to detail, and experience with quality assurance methodologies, typically supported by a degree in computer science or a related field. Familiarity with test management tools, bug tracking systems like Jira, and automation frameworks such as Selenium is commonly required. Strong analytical thinking, effective communication, and problem-solving skills help Meta Testers collaborate with development teams and identify user experience issues. These skills ensure that software products meet quality standards and function reliably for end users.

What are some common challenges faced by professionals working in meta testing, and how can they be addressed?

Professionals in Meta Testing often encounter challenges such as rapidly evolving testing frameworks, ensuring compatibility across multiple platforms, and maintaining clear communication with cross-functional teams. Staying current with the latest testing tools and methodologies is crucial, as is developing strong documentation skills to track test cases and results. Regular collaboration with developers and product managers helps to clarify requirements and quickly resolve issues, fostering a more efficient and supportive work environment.

What is the difference between Meta Testing vs QA Tester?

AspectMeta TestingQA Tester
Primary FocusEvaluating the testing process, tools, and strategies used in software developmentExecuting test cases to identify bugs and ensure software quality
Required SkillsTesting methodologies, process improvement, understanding of testing toolsTest execution, defect reporting, attention to detail
Work EnvironmentOften involved in test planning, process audits, and team coordinationHands-on testing in development or QA teams
CertificationsISTQB, CSTE often preferredISTQB, CSQA beneficial but not mandatory

Meta Testing focuses on improving and evaluating testing processes, while QA Testers are responsible for executing tests and finding bugs. Both roles require similar certifications and work in the software quality industry, but their core responsibilities differ significantly.

What are popular job titles related to Meta Testing jobs in Seattle, WA?

For Meta Testing jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Meta Testing jobs in Seattle, WA look for?

The top searched job categories for Meta Testing jobs in Seattle, WA are:

Meta Testing jobs near you
Infographic showing various Meta Testing job openings in Seattle, WA as of August 2026, with employment types broken down into 82% Full Time, and 18% Contract. Highlights an 59% In-person, and 41% Remote job distribution, with an average salary of $48,219 per year, or $23.2 per hour.

Software Engineer, AI Specialist - Monetization (Technical Leadership)

Meta

Bellevue, WA

$219K/yr

Full-time

Re-posted 2 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

137th of 245 rated software companies

Job description

Meta is seeking a distinguished Software Engineer with deep AI specialization to drive transformative technical initiatives across Meta's AI-powered products and platforms. In this role, you will define and lead the architectural direction of large-scale AI systems — spanning foundation models, intelligent ranking and recommendation infrastructure, and applied machine learning pipelines — that serve billions of users across Meta's family of apps. You will identify and solve the hardest AI engineering challenges in the organization, set technical standards that span multiple teams, and leverage AI as a force multiplier to unlock capabilities previously considered intractable. This is a role for a technical leader who operates at the intersection of cutting-edge AI research and production-scale engineering, shaping both the systems and the culture that power Meta's AI future.
Software Engineer, AI Specialist - Monetization (Technical Leadership) Responsibilities:
  • Identify and solve the most complex AI systems engineering challenges across the organization, including architecting large-scale machine learning training and inference infrastructure that operates at Meta's global scale
  • Define extensible technical foundations and cross-organizational standards for AI model development, evaluation, and deployment pipelines that favor consistency and long-term maintainability
  • Drive the technical vision and multi-year roadmap for AI platform capabilities, influencing priorities across multiple engineering teams and cross-functional partners including research, product, and data science
  • Evaluate emerging AI architectures, model paradigms, and industry developments to identify opportunities and risks relevant to Meta's competitive position, and translate findings into actionable engineering strategy
  • Lead the design and implementation of AI systems where correctness, reliability, and performance are rigorously proven, establishing invariants and testing frameworks that prevent entire categories of model and system failures
  • Identify where AI tooling and automation can eliminate entire categories of engineering work, and drive adoption of AI-native workflows across engineering teams to exponentially increase organizational throughput
  • Collaborate with research scientists and applied researchers to translate novel AI techniques from prototype into production systems that deliver measurable improvements to key product metrics
  • Mentor engineers across the organization by providing customized technical coaching, leading engineering programs such as architecture reviews and AI craft initiatives, and establishing a culture of rigor and thoroughness
  • Partner with legal, policy, and compliance teams to ensure AI systems meet privacy, security, and integrity standards, and set the bar for responsible AI development practices across the business domain
  • Define new metrics and data-driven decision-making principles for long-term, cross-team AI initiatives, connecting technical outcomes to organization-level priorities and business impact

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 12+ years of experience in software engineering with a focus on AI, machine learning systems, or applied deep learning in production environments
  • Experience architecting and delivering large-scale AI or machine learning systems — including training infrastructure, model serving, ranking, recommendation, or foundation model pipelines — that operate at significant scale
  • Experience leading multi-team technical initiatives end-to-end, including defining strategy, driving cross-functional alignment, and delivering measurable outcomes against organization-level goals
  • Experience identifying and resolving systemic engineering issues that span multiple systems or abstraction layers, including developing frameworks that prevent recurring classes of failures
  • Experience communicating complex AI system designs and technical trade-offs in writing and presentations to both technical and non-technical audiences, including engineering leadership

Preferred Qualifications:
  • Experience applying AI and automation tooling to eliminate categories of engineering toil and measurably improve team-level or organization-level engineering efficiency
  • Contributions to peer-reviewed AI or systems research (e.g., NeurIPS, ICML, ICLR, MLSys, OSDI) or demonstrated track record of translating research advances into production AI systems
  • Experience with large-scale model training optimization, distributed training frameworks, or inference efficiency techniques such as quantization, distillation, or speculative decoding
  • Experience defining and operationalizing privacy-preserving or safety-aware AI system designs in collaboration with policy, legal, or compliance stakeholders

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.
$219,000/year to $301,000/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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