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Meta Ai Jobs in Virginia (NOW HIRING)

Meta

Network Engineer, Operations & Support

Henrico, VA · On-site

$135K/yr

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 ...

Meta

Leased Facility Project Manager

Ashburn, VA · On-site

$143K/yr

Meta is seeking a Leased Facility Project Manager to support the strategic management and ... Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration ...

Meta

Critical Operations Manager

Henrico, VA

$143K/yr

Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) About Meta: Meta builds technologies that help people ...

Meta

Critical Facility Engineer

Henrico, VA

$88K/yr

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 ...

Meta

Network Engineer, Foundation & Support

Reston, VA

$162K/yr

... AI/ML applications. As a member of this team, you will have a unique opportunity to be involved in all aspects of global networking at Meta. Network Engineer, Foundation & Support Responsibilities:

Meta

Critical Facility Engineer

Richmond, VA

$88K/yr

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 ...

Meta

Critical Facility Engineer

Ashburn, VA

$88K/yr

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 ...

Meta

Leased Facility Project Manager

Ashburn, VA · On-site

$143K - $198K/yr

Meta is seeking a Leased Facility Project Manager to support the strategic management and ... AI technologies • Experience using project portfolio management tools to track milestones ...

Meta

Network Engineer, Deployment & Support

Ashburn, VA · On-site

$135K/yr

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 ...

Meta

Critical Facility Engineer

Henrico, VA · On-site

$67K/yr

Meta is seeking a Critical Facility Engineer to join our Data Center Facility Operations team. Our ... Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration ...

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What is a Meta AI?

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.

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 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.

How to work in Meta AI?

To work in Meta AI, candidates typically need a strong background in computer science, machine learning, or related fields, along with experience in AI research or development. Applying involves submitting a resume through Meta's careers portal, completing technical assessments, and participating in interviews that evaluate technical skills and problem-solving abilities. Familiarity with tools like PyTorch and knowledge of AI ethics are also beneficial.

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Infographic showing various Meta Ai job openings in Virginia as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Network Engineer, Operations & Support

Meta

Henrico, VA • On-site

$135K/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

138th of 247 rated software companies

Job description

Meta's Edge & Network Services team is responsible for the deployment and operational support of production networks spanning Edge, Backbone, Optical, and Datacenter infrastructure across Meta's global footprint. In this role, you will serve as a hands-on network engineer focused on site services and deployment, ensuring the reliability, scalability, and performance of production network infrastructure that underpins Meta's ability to connect billions of people worldwide. You will partner with cross-functional teams to execute network deployments, drive operational excellence, and contribute to the evolution of global network standards.
Network Engineer, Operations & Support Responsibilities:
  • Deploy, configure, and validate production network infrastructure including switching, routing, and optical transport equipment across data center and edge sites
  • Perform day-to-day operational support of site network services, including troubleshooting routing and switching protocol issues across BGP, IS-IS, MPLS, and RSVP-TE environments
  • Plan and execute scheduled maintenance activities including hardware upgrades, software migrations, and decommissioning of production network assets
  • Maintain accurate as-built documentation, asset inventory, and configuration records for all deployed network and physical infrastructure
  • Collaborate with network design and architecture teams to implement scalable deployment standards and contribute to the development of new site service solutions
  • Support integration and field testing of new hardware and software platforms prior to production rollout
  • Partner with vendors and facilities teams to manage structured cabling, fiber-optic infrastructure, and physical layer dependencies at production sites
  • Participate in an on-call rotation to provide 24x7 support for production network infrastructure and respond to network incidents
  • Identify opportunities to leverage automation and AI-assisted tooling to streamline deployment workflows, reduce manual effort, and improve operational consistency
  • Contribute to team-level goals by sharing operational learnings, documenting best practices, and advising cross-functional partners on complex network matters

Minimum Qualifications:
  • 6+ years of experience deploying, configuring, and operating large-scale production networks
  • Experience with physical network infrastructure including structured cabling, fiber-optic cabling, and data center facility operations
  • Experience working in multi-vendor network environments with hands-on exposure to enterprise or hyperscale networking hardware
  • Experience with network protocols including TCP/UDP, DHCP, and DNS, and hands-on experience with both IPv4 and IPv6 environments
  • Experience troubleshooting and configuring routing and switching protocols including BGP, IS-IS, MPLS, RSVP-TE, and VRRP
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

Preferred Qualifications:
  • 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
  • Demonstrated use of AI tools to redesign or optimize network operations workflows, with measurable outcomes such as reduced deployment time or improved documentation accuracy
  • Experience with scripting and network automation using Python, Bash, or similar languages to improve deployment and operational workflows
  • Experience with 40G/100G Ethernet technologies and optical transport technologies including CWDM and DWDM
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience with field-based network operations in data centers, colocation facilities, internet exchanges, or central offices
  • 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.
$135,000/year to $191,000/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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