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Meta Ai Jobs (NOW HIRING)

Meta

Supply Chain Lead, Large Clusters

Menlo Park, CA · On-site

$179K - $249K/yr

With the continued importance of AI-enabling infrastructure, there is a corresponding shift in Meta's supply chain strategy; rather than delivering racks or other hardware in isolation, it is now ...

Meta

Area Project Controls Lead, Leased

$150K/yr

Meta is seeking an Area Project Controls Lead to oversee project controls operations across a portfolio of leased data center facilities critical to Meta's AI and infrastructure strategy. In this ...

Meta

Lifecycle Marketing Manager

Burlingame, CA

$152K/yr

The Reality Labs Marketing team drives adoration and everyday usage for Meta AI glasses and VR devices by unleashing data-driven marketing and creativity to accelerate business results. We are ...

Meta

Lifecycle Marketing Manager

New York, NY

$152K/yr

The Reality Labs Marketing team drives adoration and everyday usage for Meta AI glasses and VR devices by unleashing data-driven marketing and creativity to accelerate business results. We are ...

Meta

Network Engineer, Optical Deployment

Reston, VA

$162K/yr

Meta is looking for an Optical Network Deployment & Support Engineering Lead to join the team responsible for planning and executing network deployments to build the world's largest AI backbone ...

Meta

Software Engineer, Systems ML

Bellevue, WA

$183K/yr

Meta is seeking a Research Engineer specializing in Systems Machine Learning to help design and build the infrastructure and algorithmic foundations that power large-scale AI systems across Meta ...

Meta

Software Engineer, Systems ML

Menlo Park, CA

$183K/yr

Meta is seeking a Research Engineer specializing in Systems Machine Learning to help design and build the infrastructure and algorithmic foundations that power large-scale AI systems across Meta ...

Meta

Supply Chain Lead, Large Clusters

Menlo Park, CA

$179K/yr

With the continued importance of AI-enabling infrastructure, there is a corresponding shift in Meta's supply chain strategy; rather than delivering racks or other hardware in isolation, it is now ...

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How much do meta ai jobs pay per year?

As of Jun 29, 2026, the average yearly pay for meta ai in the United States is $68,500.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $72,500.00 per year, depending on experience, location, and employer.

Is it hard to get hired at Meta?

Getting hired at Meta for roles like Meta AI can be competitive, often requiring strong technical skills, relevant experience, and a good understanding of the company's products and culture. The hiring process typically involves multiple interviews, technical assessments, and a review of your background. Candidates with relevant degrees, certifications, and a demonstrated ability to work in collaborative environments tend to have better chances.

What are the key skills and qualifications needed to thrive in the Meta Ai position, and why are they important?

To thrive as a Meta AI Engineer, you need a solid background in computer science, machine learning, and data analysis, typically supported by a relevant degree and hands-on project experience. Familiarity with programming languages such as Python or C++, deep learning frameworks like PyTorch or TensorFlow, and industry certifications in AI or cloud platforms is highly valuable. Strong problem-solving abilities, collaboration, and a passion for continuous learning help individuals excel in fast-moving, innovative environments. These competencies are crucial for developing advanced AI models, integrating them into Meta’s products, and driving impactful technological advancements.

What is the salary of AI in Meta?

The salary for AI roles at Meta varies depending on experience, location, and specific position, but generally ranges from $100,000 to $200,000 annually. Entry-level AI engineers may start around $100,000, while senior roles can exceed $200,000, often supplemented with bonuses and stock options. Skills in machine learning, deep learning, and proficiency with tools like PyTorch or TensorFlow are typically required.

What are some common challenges faced by Meta AI Engineers, and how can candidates best prepare to address them?

Meta AI Engineers often work on complex, large-scale projects that require balancing accuracy, performance, and ethical considerations. One common challenge is keeping up with rapidly evolving AI technologies while ensuring that new models integrate seamlessly into Meta’s global ecosystem. Successful candidates prepare by actively following advancements in machine learning, gaining experience with scalable systems, and working collaboratively in multidisciplinary teams. Demonstrating adaptability and a proactive approach to learning will help you tackle these challenges effectively and contribute to Meta's innovative AI initiatives.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior research scientists, AI executives, or specialized engineers at leading tech companies. These positions often require advanced degrees, extensive experience, and expertise in machine learning, deep learning, or related fields, and may include bonuses or stock options that contribute to the total compensation.

What is a Meta AI job?

A Meta AI job typically involves working on artificial intelligence initiatives at Meta, the parent company of Facebook, Instagram, and WhatsApp. Roles in Meta AI span research, machine learning engineering, software development, and AI ethics, focusing on advancing AI technologies for Meta’s platforms. Employees may work on natural language processing, computer vision, or AI-driven user experiences. These positions require expertise in AI, data science, and software engineering.

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Technical Program Manager - AI-Generated Media Provenance

Technical Program Manager - AI-Generated Media Provenance

Meta

Menlo Park, CA

$199K/yr

Full-time

Posted 22 days ago

Meta rating

7.5

Company rating: 7.5 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

124th of 192 rated software companies

Job description

Media Foundation is Meta's core platform team responsible for the end-to-end media infrastructure that powers billions of photos and videos across Facebook, Instagram, Messenger, WhatsApp, and Meta's AI products. The team builds and maintains the foundational systems for media upload, transcoding, storage, delivery, and processing—ensuring reliability, quality, and efficiency at massive scale. Media Foundation operates at the critical intersection of product experiences, AI/ML innovation, and platform infrastructure.Media Foundation seeks a Technical Program Manager (TPM) to lead the AI-Generated Media (AIGM) Provenance program—a high-visibility, cross-organizational initiative spanning content watermarking, detection infrastructure, and industry standards (C2PA). In this role, you will own the end-to-end technical program for provenance signal embedding, detection, and preservation across Meta's media pipeline, driving regulatory compliance, AI-generated content detection, and authentic media certification at global scale.You will operate at the intersection of cutting-edge AI research, media infrastructure systems, product integration, and global regulation. This includes partnering with FAIR researchers, media infrastructure engineers, product and integrity teams, and policy stakeholders to deliver against hard regulatory deadlines while simultaneously representing Meta in cross-industry standards bodies (C2PA) alongside Google, Adobe, Microsoft, and TikTok. You will leverage deep technical fluency in media systems, AI/ML, and content provenance to drive alignment across 5+ organizations, influence industry-wide specifications, and ensure Meta shapes—rather than reacts to—the evolving standards landscape.
Technical Program Manager – AI-Generated Media Provenance Responsibilities:
  • Lead and drive the end-to-end AIGM Provenance program across regulatory compliance, AI-generated media detection, and authentic signal certification workstreams.
  • Drive cross-organizational alignment across Media Foundation, FAIR, Central Integrity, Product, and Policy teams—each with distinct roadmaps and incentives—ensuring shared milestones and accountability.
  • Own technical strategy and execution for provenance infrastructure: watermark embedding tools, detection APIs, signal preservation through upload pipelines, transcoding, and storage schemas.
  • Navigate regulatory compliance programs (CA SB 942, India IT Rules, South Korea) from technical requirements through production deployment within hard deadlines.
  • Represent Meta externally in C2PA industry standards meetings, influencing specification development with technical depth and driving Meta's strategic positioning.
  • Partner with researchers and senior engineers on technical design—challenging assumptions, identifying risks, and translating constraints into product and policy implications.
  • Develop and implement communication strategies to proactively share program status, risks, and dependencies with leadership and cross-functional stakeholders.
  • Drive the multi-layered AIGM detection strategy combining C2PA, IPTC, invisible watermarking (IW), and ML classifiers, including cross-industry IW API collaboration with Google, Adobe, and TikTok.
  • Establish and track key metrics, benchmarks, and deployment milestones for provenance infrastructure, driving accountability and continuous improvement.
  • Champion process improvements and automation to reduce integration burden on product teams consuming provenance signals.

Minimum Qualifications:
  • Experience defining strategic direction and identifying new opportunities for impact in ambiguous, high-stakes domains
  • Proven experience leading programs that span 5+ organizations with competing priorities, driving alignment among senior stakeholders without direct authority
  • Strong understanding of content provenance technologies, digital watermarking, or cryptographic signing (e.g., C2PA, IPTC metadata)
  • Bachelor's degree in Computer Science, Electrical Engineering, or related technical field, or equivalent experience
  • Experience representing a company externally in industry standards bodies, consortia, or cross-company technical collaborations
  • Demonstrated analytical and problem-solving skills for large-scale distributed systems
  • Exceptional written and verbal communication skills, with experience influencing executive leadership and representing technical positions to external partners
  • Demonstrated ability to drive complex, cross-organizational programs from inception to production at global scale under hard regulatory or business deadlines
  • 12+ years of experience in software engineering, systems engineering, or technical product/program management

Preferred Qualifications:
  • Previous experience with AI-generated content detection, digital watermarking, or content authenticity initiatives
  • Track record of building and maintaining external industry relationships (standards bodies, cross-company working groups)
  • Experience with C2PA standards, IPTC metadata, or similar provenance/authenticity frameworks
  • 12+ years of experience in software engineering, systems engineering, or technical product/program management, with a focus on media systems, AI/ML infrastructure, or platform-level services
  • Familiarity with media infrastructure at scale (billions of daily uploads, real-time transcoding pipelines, CDN delivery)
  • Deep technical fluency in media processing systems (upload, transcoding, codec libraries, storage) and/or AI/ML model training and inference pipelines
  • Background in regulatory compliance programs (privacy, content policy, or trust & safety)
  • 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.
$199,000/year to $272,000/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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