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Meta Ai Jobs in Virginia (NOW HIRING)

Meta

Network Engineer, Deployment & Support

Reston, VA

$162K/yr

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 ...

Meta

Network Engineer, Optical Deployment

Reston, VA

$135K/yr

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 ...

2020 Companies

Seasonal Meta Sales Specialist

Glen Allen, VA · On-site

$21 - $28.25/hr

Add high-impact experience in consumer AI, spatial computing, and premium brand representation to your background * Sales Contests: Additional incentives provided that may include Meta products ...

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2020 Companies

Seasonal Meta Sales Specialist

Glen Allen, VA · On-site

$21 - $28.25/hr

Add high-impact experience in consumer AI, spatial computing, and premium brand representation to your background * Sales Contests: Additional incentives provided that may include Meta products ...

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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.

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

The most popular types of Meta Ai jobs in Virginia are:

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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, Deployment & Support

Meta

Reston, VA

$162K/yr

Full-time

Re-posted 20 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 247 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.

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