Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowFirst seen 4 hours ago

QA Engineering Lead (AI)

Meta1,337 open roles

Pay
$138,000 – $191,000 a year
Where
Menlo Park, CA
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowQA Engineering Lead (AI)Meta · Menlo Park, CA

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Meta's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

13.5% of postings close within 7 days. Measured by our own scanner across the market. Meta postings stay open a median of 35 days.

Share of postings closed within
  1. 2.3%1 day
  2. 4.6%3 days
  3. 13.5%7 days
  4. 21.8%14 days
  5. 36.6%30 days
  6. 58.9%60 days
This job: first seen 4 hours ago

Meta median: 35 days open

The posting

We’re looking for QA Engineering Leads to help shape the quality of our GenAI products at Meta. You enjoy solving complex quality challenges, building scalable testing and evaluation solutions, and partnering with engineering and research teams to ship products rapidly and with confidence. In this role, you will independently lead quality engineering for a product area, turn ambiguous requirements into measurable quality standards, and drive improvements across the teams that build and support it.

Responsibilities

  • Own the end-to-end quality strategy for a Gen AI product area, from early development and model evaluation through launch and ongoing product improvements
  • Perform hands-on testing of consumer-facing and business-facing applications, APIs, and AI models
  • Design, implement, and evolve AI model evaluation processes, including representative datasets, product-aligned weighted scoring frameworks, automated evaluations, human review, and regression coverage
  • Establish product-specific quality standards for model behavior, including correctness, relevance, safety, and robustness, in partnership with engineering, product, and research teams
  • Assess quality risks, identify coverage gaps, and drive resolution of issues across model behavior, client applications, server systems, and infrastructure
  • Plan and execute risk-based test strategies covering functional, integration, end-to-end, performance, stress, and cross-platform testing
  • Build and maintain reusable test automation and evaluation tooling, integrate quality checks into development workflows, and improve the reliability and speed of test feedback
  • Define quality metrics and use data to improve test effectiveness, testing efficiency, regression prevention, and the overall user experience
  • Lead cross-team quality projects, align stakeholders on priorities and dependencies, and provide evidence-based recommendations on release readiness
  • Investigate complex failures, identify root causes, and partner with engineering and infrastructure teams to prevent recurring defects
  • Mentor QA engineers in test design, automation, and AI evaluation, and contribute to a quality-driven engineering culture

Minimum Qualifications

  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • Currently has, or is in the process of obtaining, a Bachelor’s degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience. A degree must be completed prior to joining Meta
  • 7+ years of experience in quality assurance and test engineering for software products or services
  • 2+ years of experience in AI model testing or evaluation, including developing evaluation methods and defining model quality standards
  • Experience independently leading quality engineering for a complex product or system, and delivering measurable quality improvements
  • Experience developing test automation or evaluation tooling in Python, PHP, Java, C/C++, or an equivalent programming language
  • Hands-on experience testing and debugging consumer-facing and business-facing web or mobile applications, APIs, and backend services, and evaluating AI models
  • Hands-on experience with test planning, test design and execution, performance and stress testing, and maintaining client and server test automation
  • Experience using metrics and failure analysis to prioritize quality improvements and inform release decisions
  • Experience coordinating work across engineering and cross-functional partners, resolving dependencies, and adapting priorities in a fast-moving development environment
  • Experience in communicating technical risks and trade-offs to stakeholders and mentoring other engineers

Preferred Qualifications

  • Demonstrated improvements in product coverage, test signal quality, automation reliability, or testing efficiency within medium to large engineering teams
  • Experience in leveraging data and quality metrics to identify trends, prioritize coverage gaps, and drive product quality improvements
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Experience in building reusable testing or evaluation frameworks adopted by multiple engineering teams
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience combining human evaluation with automated model-based evaluation and validating the reliability of the evaluation results
  • Familiarity with frontier AI model evaluation practices, including weighted scoring frameworks for assessing model quality and performance
  • Experience evaluating generative text, image, voice, or multimodal models, including nondeterministic behavior and model regressions
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Experience partnering with AI research teams to translate model capabilities and limitations into product evaluation criteria

US: $138,000/year to $191,000/year + bonus + equity

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against Meta's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on Meta's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    Meta's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.