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Meta Ai Jobs in Reston, VA (NOW HIRING)

Meta

Software Engineer, Infrastructure

Washington, DC · On-site +1

$183K/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

Public Affairs Manager, Reality Labs

Washington, DC · On-site +1

$176K/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

Design Program Manager

Washington, DC · On-site +1

$162K/yr

Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration ... Meta builds technologies that help people connect, find communities, and grow businesses. When ...

Meta

Leased Facility Project Manager

Ashburn, VA

$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

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

Energy Analyst, New Transactions

Washington, DC · On-site +1

$132K/yr

Meta designs, builds, and operates some of the most innovative and energy-intensive data centers in ... Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable ...

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How much do meta ai jobs pay per year?

As of Aug 8, 2026, the average yearly pay for meta ai in Reston, VA is $71,264.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,000.00 and $75,400.00 per year, depending on experience, location, and employer.

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 development and programming languages like Python. The hiring process involves submitting an application through Meta's careers portal, completing technical interviews, and demonstrating relevant skills. Familiarity with AI tools, frameworks, and a collaborative environment are also important for success in Meta AI roles.

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 most commonly searched types of Meta Ai jobs in Reston, VA? The most popular types of Meta Ai jobs in Reston, VA are:
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Meta Ai jobs near you
Infographic showing various Meta Ai job openings in Reston, VA as of August 2026, with employment types broken down into 71% Full Time, 25% Part Time, and 4% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $71,264 per year, or $34.3 per hour.

Water Manager, Data Center Development

Meta

Washington, DC

$132K/yr

Full-time

Re-posted yesterday

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

136th of 242 rated software companies

Job description

Meta is seeking a Water Manager to lead water stewardship and environmental compliance efforts in support of data center development and operations. In this role, you will drive strategies to minimize water consumption, manage regulatory permitting, and advance sustainable water use across Meta's data center portfolio. You will work at the intersection of environmental engineering, infrastructure development, and corporate sustainability, ensuring that Meta's data centers meet rigorous water efficiency targets and comply with applicable environmental regulations.
Water Manager, Data Center Development Responsibilities:
  • Lead water and wastewater due diligence, risk assessments, and strategy for data center site selection efforts in the U.S., including watershed analyses, utility and infrastructure assessments, water rights needs, and/or water-related permit requirements
  • Facilitate and drive communication and cross-team coordination between internal water stakeholders, including sustainability, engineering, design, and construction
  • Manage and develop water/sewer agreements during all phases of a project, including initial negotiations along with partner teams during site selection, including the renegotiation of agreements if needed
  • Lead discussions and long-term relationships with water utilities regarding technical aspects of projects, including water/sewer agreement terms and conditions, projected capacity requirements of various data center products, and off-site infrastructure improvements
  • Scope, review findings, and provide direction to consultants and internal teams on water evaluations, when necessary
  • Communicate to multiple diverse Meta teams and leadership regarding water risks and operational viability for new sites, as well as water commitments and obligations for selected sites
  • Work with internal partners on external stakeholder communication
  • Collaborate with the Meta Policy team to monitor relevant state and local policies that could affect water for specific sites
  • Provide expertise to diverse internal teams and coordinate with other teams about relevant water issues and requirements. Develop training and educational tools regarding water goals, compliance, and awareness
  • Manage the preparation of transition documents for use by the Water Program Manager during construction and operations for data centers, including coordinating input from consultants and diverse internal teams
  • Assist in facilitating the growth of the water program within Meta Data Centers as the company continues to grow and builds water excellence

Minimum Qualifications:
  • Ability to manage multiple projects and coordinate with internal staff, external consultants, and other stakeholders
  • Ability to communicate and work with highly confidential information
  • Experience independently managing task execution, tracking progress, and driving deliverables to completion with minimal oversight
  • Professional experience in working with water utilities in the United States
  • Ability to travel domestically (up to 30%)
  • Technical expertise related to water use and wastewater discharge, water efficiency techniques, as well as water policy and permitting in the United States
  • Strong communication, organizational, and program management skills
  • Ability to work in teams, and establish and maintain cross-functional and working relationships
  • Bachelor's degree and 6+ years of professional experience in the planning, design, construction, and operation of utility infrastructure projects for water supply, treatment, and conveyance and wastewater treatment, water resources management, and/or hydrology/hydrogeology

Preferred Qualifications:
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience with water and wastewater infrastructure planning for data centers
  • Professional Civil Engineer's License
  • Experience supporting water stewardship programs for data centers, hyperscale facilities, or other high water-use technology infrastructure
  • 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 ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Master's degree in related field

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.
$132,000/year to $188,000/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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