ZipRecruiter

Log In

1

Virtual Meta Ai Jobs (NOW HIRING)

Meta

Research Scientist, Advanced Control

Menlo Park, CA · On-site

$184K - $257K/yr

... that powers Meta's AI and products worldwide. The Physical Modeling team inside IDC develops ... Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual ...

Meta

Machine Learning SoC Architect

Menlo Park, CA

$212K/yr

... Meta's AI and data center workloads at scale. As an ASIC Engineer specializing in architecture ... Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual ...

Meta

Machine Learning SoC Architect

Sunnyvale, CA

$212K/yr

... Meta's AI and data center workloads at scale. As an ASIC Engineer specializing in architecture ... Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual ...

Meta

Machine Learning SoC Architect

Austin, TX

$212K/yr

... Meta's AI and data center workloads at scale. As an ASIC Engineer specializing in architecture ... Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual ...

previous page

Showing results 41-60

All Jobsremote JobsVirtual Meta Ai Jobs

Virtual Meta Ai information

See salary details

$11

$24

$33

How much do virtual meta ai jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for virtual meta ai in the United States is $24.40, according to ZipRecruiter salary data. Most workers in this role earn between $20.43 and $27.40 per hour, depending on experience, location, and employer.

What is a Virtual Meta AI?

A Virtual Meta AI refers to an artificial intelligence system that operates in virtual environments, often to manage, moderate, or enhance user experiences within digital spaces such as the metaverse. These AI can interact with users, automate tasks, facilitate virtual events, and provide support or information. They are designed to understand natural language, learn from interactions, and adapt to the needs of a virtual community or platform. Virtual Meta AI are increasingly used in gaming, virtual workplaces, and online social platforms to create more immersive and responsive digital experiences.

How does a Virtual Meta AI specialist typically collaborate with cross-functional teams to implement AI solutions?

Virtual AI Specialists often work closely with software engineers, data scientists, and project managers to design, develop, and deploy AI-driven applications. Collaboration usually involves participating in virtual meetings, sharing progress updates, and integrating feedback from different departments to refine models and algorithms. Effective communication and documentation are essential, as team members may be in various locations and time zones. This collaborative structure fosters innovation and ensures that AI solutions align with business objectives and user needs.

What are the key skills and qualifications needed to thrive as a Virtual Meta AI engineer, and why are they important?

To thrive as a Virtual AI Engineer at Meta, you need strong programming skills in languages like Python or C++, a solid understanding of machine learning algorithms, and a background in computer science or a related field. Familiarity with AI frameworks such as TensorFlow or PyTorch, experience with distributed computing, and sometimes certifications in AI or cloud platforms are valuable. Outstanding problem-solving ability, strong collaboration, and effective communication help you innovate and work well within cross-functional teams. These skills and qualities drive the development of reliable, high-impact AI solutions that are central to Meta's products and user experiences.

What is the difference between Virtual Meta Ai vs Virtual Data Analyst?

AspectVirtual Meta AiVirtual Data Analyst
Required CredentialsAI certifications, programming skillsStatistics, data analysis certifications
Work EnvironmentRemote, AI-focused projectsRemote, data interpretation tasks
Employer & Industry UsageTech companies, AI startupsBusiness, finance, marketing sectors
Common Search & ComparisonYesYes

Virtual Meta Ai primarily involves developing and managing AI models, requiring programming and AI certifications. In contrast, Virtual Data Analysts focus on interpreting data to inform business decisions, often with statistics and data analysis credentials. Both roles are remote and widely used across tech and business industries, but they serve different functions within data and AI ecosystems.

More about Virtual Meta Ai jobs

What cities are hiring for Virtual Meta Ai jobs?

Cities with the most Virtual Meta Ai job openings:

What are the most commonly searched types of Meta Ai jobs?

The most popular types of Meta Ai jobs are:

What states have the most Virtual Meta Ai jobs?

States with the most job openings for Virtual Meta Ai jobs include:

What job categories do people searching Virtual Meta Ai jobs look for?

The top searched job categories for Virtual Meta Ai jobs are:

Virtual Meta Ai jobs near you
Infographic showing various Virtual Meta Ai job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 64% Physical, 4% Hybrid, and 32% Remote job distribution, with an average salary of $50,749 per year, or $24.4 per hour.

Network Engineer, Deployment & Support

Meta

Reston, VA

$162K/yr

Full-time

Re-posted 7 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

139th of 246 rated software companies

Job description

Meta is looking for a Network Deployment & Support Engineering lead to join the team responsible for planning and executing network deployments and migrations to build the world's largest AI backbone network. In this role, you will have a unique opportunity to work on cutting-edge Optical and IP networking technologies owning the deployment planning, implementation, and scaling of Meta's AI network infrastructure.
Network Engineer, Deployment & Support Responsibilities:
  • Lead the technical strategy, architecture, and execution for your team’s projects within Edge Network Services (ENS) on network deployments, ensuring alignment with organizational vision and goals
  • Provide hands-on technical contributions (design, deployment, migration, code reviews, troubleshooting, etc.) on large scale complex programs at the experienced engineer level, demonstrating domain expertise and technical impact
  • Drive strategic planning by building and executing six-month to multi-year roadmaps that support business growth and transformation. Balance high-level strategic vision with hands-on leadership to deliver results across a broad portfolio of initiatives
  • Ensure high standards for reliability, scalability, and performance in all deliverables, driving continuous improvement in engineering processes and technical quality
  • Collaborate cross-functionally across Network Engineering, Data Center, Edge, and Planning teams to ensure successful execution of shared goals on Network Capacity and Reliability
  • Deploy, migrate and support our global production network including edge, backbone, and data center infrastructure
  • Manage key vendor relationships including contract negotiations, pricing, and evaluation of current and potential partnerships
  • Manage partner engineering team relationships to enable the team(s) to effectively meet business needs
  • Mentor and onboard new team members, raising the team’s overall technical acumen and building internal community
  • Demonstrate leadership behaviors by helping others, showing respect, connecting people, and driving collaboration within the team and organization
  • 10% to 30% of travel

Minimum Qualifications:
  • 10+ years of Network Engineering, including hands-on responsibility for planning, building, deployment or migrating production network environments
  • Hands-on experience with enterprise and carrier class routing, switching, and optical transport platforms
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • Bachelor’s degree in computer science, Computer Engineering, relevant technical field, or equivalent practical experience
  • Experience interacting with vendors and external parties to drive projects to completion
  • Knowledge of data center design and operational best practices
  • Experience leading and executing network deployment and migration projects

Preferred Qualifications:
  • 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
  • Knowledge of various scripting languages
  • Experience with process improvement and systems development, leveraging automation to streamline repetitive workflows
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Network certifications such as CCE, CCIE, or JNCIE
  • Experience in data center, edge, or large-scale network environments

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.

What Meta employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply