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Meta Testing Jobs in California (NOW HIRING)

Meta

QA Engineering Lead

Menlo Park, CA

$113K/yr

Plan, develop, and execute test strategy across core Meta products and platforms * Lead quality ... Implement and evolve QA processes to get effective test signal and scale testing efforts across ...

Meta

QA Engineering Lead

Menlo Park, CA · On-site

$113K - $162K/yr

Degree must be completed prior to joining Meta • Bachelor's degree in Computer Science, Computer ... testing and debugging web or mobile applications • Organizational, coordination, and multi ...

Meta

Mechanical Engineer, Infrastructure

Menlo Park, CA · On-site

$118K/yr

Meta supports this effort through the Open Compute Project (OCP). This is a unique opportunity to ... Specifications, design, prototyping, and testing of devices and products for AI/ML, server, storage ...

Meta

Audio Systems Engineer

Sunnyvale, CA · On-site

$144K/yr

... testing efficient microphone-array processing and real-time audio capture algorithms About Meta: Meta builds technologies that help people connect, find communities, and grow businesses. When ...

Meta

Hardware Reliability Engineer

Fremont, CA

$144K/yr

In this role, you will drive reliability engineering efforts across server, storage, and networking hardware deployed in Meta's data centers, applying failure analysis, accelerated life testing, and ...

Meta

Hardware Reliability Engineer

Menlo Park, CA

$144K/yr

In this role, you will drive reliability engineering efforts across server, storage, and networking hardware deployed in Meta's data centers, applying failure analysis, accelerated life testing, and ...

eJam

Senior Media Buyer (Meta)

Santa Ana, CA · On-site

While Meta is the primary focus of this role, familiarity with other paid channels (Google, TikTok ... A/B Testing: Run structured tests on creative, copy, audiences, and placements, and turn results ...

Ejam Inc

Senior Media Buyer (Meta)

Santa Ana, CA · On-site

$110 - $120/hr

While Meta is the primary focus of this role, familiarity with other paid channels (Google, TikTok ... A/B Testing: Run structured tests on creative, copy, audiences, and placements, and turn results ...

eJam

Senior Media Buyer (Meta)

Santa Ana, CA · On-site

While Meta is the primary focus of this role, familiarity with other paid channels (Google, TikTok ... A/B Testing: Run structured tests on creative, copy, audiences, and placements, and turn results ...

eJam

Senior Media Buyer (Meta)

Santa Ana, CA · On-site

While Meta is the primary focus of this role, familiarity with other paid channels (Google, TikTok ... A/B Testing: Run structured tests on creative, copy, audiences, and placements, and turn results ...

Meta

Manager, SOX Compliance

Menlo Park, CA · On-site

$137K - $197K/yr

Meta is seeking an experienced manager to fill the position of Manager, SOX (Sarbanes-Oxley Act ... testing, remediation, and reporting • Collaborate with internal stakeholders and the external ...

Meta

NPI Program Manager

Fremont, CA · On-site

$168K - $234K/yr

As Meta's datacenter infrastructure grows rapidly in scope and scale the increased technical ... testing and product lifecycle management tools and processes • Knowledge of supply chain-specific ...

Meta

Thermal Design Engineer

Sunnyvale, CA · On-site

$118K/yr

At Meta, we aim to bring together cross-disciplinary minds in one place to deliver on our mission ... Experience in empirical testing and model correlation * Experience in programming with a scripting ...

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Meta Testing information

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 the most commonly searched types of Meta Testing jobs in California?

The most popular types of Meta Testing jobs in California are:

What are popular job titles related to Meta Testing jobs in California?

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

What job categories do people searching Meta Testing jobs in California look for?

The top searched job categories for Meta Testing jobs in California are:

What cities in California are hiring for Meta Testing jobs?

Cities in California with the most Meta Testing job openings:

Meta Testing jobs near you
Infographic showing various Meta Testing job openings in California as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, 2% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Content Engineer, Meta Superintelligence Labs

Meta

Menlo Park, CA • On-site

$162K/yr

Full-time

Re-posted 29 days ago

Key responsibilities

  • Design and implement evaluation and measurement pipelines to assess AI product capabilities and quality.

  • Define quality standards, create guidelines, and develop evaluation frameworks to ensure model outputs meet the set quality bar.

  • Lead structured testing and iteration processes, including designing test plans, triaging results, and providing actionable feedback to product and engineering teams.

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

139th of 247 rated software companies

Job description

Content Engineering is a horizontal function in the Muse Product Post Training org within Meta Superintelligence Labs (MSL) that shapes AI product experiences by aligning models to be helpful in new product experience through productizing prompt engineering, frontier evaluations, and quality frameworks. Sitting at the intersection of user experience and large-language model behavior, content engineers partner closely with research science, engineering, product and design teams to build and ship AI experiences from lab to production, across modalities and surfaces.Great Content Engineers have the aesthetic taste to notice what makes a model output great, the technical prompting expertise to align models to consistently provide great responses, experience at building auto-gradeable frontier evals for new capabilities, and the experience delivering high scale datasets via human annotators and synthetic data. This role goes beyond shaping how the model communicates — it owns the quality bar. This person defines what "great" looks like across product capabilities, builds the evaluation infrastructure (human and automated) to measure it, and runs the feedback loops that turn qualitative insight into model improvement. They operate as a cross-functional bridge between research science, engineering, product, and policy, translating user-facing quality problems into structured priorities and actionable fixes. They serve as a point of contact for internal stakeholders across AI on priority product and model initiatives, and aim to build experiences that entertain, inform, and delight.
Content Engineer, Meta Superintelligence Labs Responsibilities:
  • Quality Definition & Frameworks: Define what "great" looks like for AI product capabilities — build guidelines, golden response sets, and frontier evals that set the quality bar across features and surfaces. Develop failure mode taxonomies that give engineering teams a structured, prioritized view of what's breaking and why.
  • Evaluation & Measurement: Own the full human evaluation pipeline — design rubrics, guide contractor annotator teams, build calibration processes, and deliver data analysis on results. Partner with Research Science to build and validate auto-judges aligned with human raters
  • define the methodology for measuring alignment drift. Construct and run large-scale evals to track quality metrics across product capabilities over time.
  • Testing & Iteration: Lead structured dogfooding and testing programs — design test plans targeting specific failure modes, run testing rounds, triage and categorize results, and deliver prioritized summaries to product and engineering. Operate at speed to unblock fast iteration — turn around quality assessments quickly enough to inform the current dev cycle, not the next one. Identify emerging quality issues before they reach external users. Craft and tune system prompts and agentic behavior to support product vision and model outcomes.
  • Cross-Functional Leadership: Serve as a key member of the cross-functional team across the product capabilities you work on— aligning engineering, research science, product, policy, and design on quality standards and priorities. Lead through influence and collaboration across teams
  • make quality legible and actionable for technical partners.
  • Agentic workflows: Leverage AI-native tools to replace manual workflows with scalable, repeatable processes across evaluation design, data analysis, visual development and cross-functional comms. Continuously evaluate and adopt emerging tools that allow the team to operate at speed. This is a role where experimentation is key, and a willingness to experiment, learn new tools, and build solutions hands-on is valued.

Minimum Qualifications:
  • Bachelor's degree or equivalent experience with 5+ years of experience in digital content strategy, user experience, technical writing, journalism, production, or related fields
  • Experience designing and running human evaluation pipelines at scale — including annotator management, rubric design, golden set construction, and calibration
  • Experience translating ambiguous "it doesn't feel right" feedback into structured, objective, fixable categories
  • Experience defining and operationalizing subjective quality dimensions into measurable benchmarks
  • Experience running structured software testing/qa programs — designing test plans, triaging results, and delivering actionable analysis to engineering teams fast enough to matter in the current dev cycle
  • Experience making editorial and content quality decisions in a fast-paced environment, communicating complex technical concepts to cross-functional partners, and leading through influence across teams without direct reporting lines

Preferred Qualifications:
  • Experience with AI-native tooling (LLM-based development tools, annotation platforms, prototyping environments) and a bias toward using them to move faster
  • Experience with LLM-as-judge development — building automated quality signals aligned with human judgment, and validating that alignment over time
  • Experience working with product teams or programs (or other equivalent fields) from roadmapping through delivery
  • Experience working in prompt engineering and agentic workflows

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.
$162,000/year to $227,000/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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