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Meta Ai Jobs in Reston, VA (NOW HIRING)

As hyperscale AI and compute infrastructure demands grow, this role is central to ensuring Meta's data center energy supply is reliable, cost-effective, and operationally sound across utility ...

Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) About Meta: Meta builds technologies that help ...

... 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:

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 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 ...

... AI Marketing and Corporate Communications at Meta. This role is pivotal in supporting high-impact marketing campaigns, developing innovative measurement frameworks, and collaborating with executive ...

Energy Sourcing Manager

Reston, VA · On-site +1

$132K/yr

Meta's Energy Infrastructure Strategy and Investments team is seeking an experienced energy ... Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable ...

Launch Your Data Center Career-Train with CBRE, Power the Future with Meta Meta is growing fast and they need people like you to help power their AI infrastructure. This is your chance to start a ...

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's Global Media Organization is seeking a Media Strategy and Planning lead to drive the ... Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable ...

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 ...

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 ...

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Meta Ai information

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How much do meta ai jobs pay per year?

As of Jul 5, 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 is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as senior machine learning engineer, AI research director, or executive roles like AI CTO. These roles often require advanced skills in deep learning, data science, and experience with tools like TensorFlow or PyTorch, along with leadership responsibilities and a strong track record in AI development.

How much is Meta paying AI workers?

Meta AI roles typically offer salaries ranging from $100,000 to $200,000 annually, depending on experience, location, and specific responsibilities. Compensation may also include bonuses, stock options, and benefits aligned with industry standards for tech companies and AI specialists.

Is it hard to get hired at Meta?

Getting hired at Meta for roles like Meta AI can be competitive, often requiring relevant skills such as machine learning, AI development, or data analysis, along with a strong educational background. The hiring process typically involves multiple interviews, technical assessments, and demonstrating problem-solving abilities. Candidates who showcase expertise in AI tools and a good understanding of Meta's products 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 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 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.

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:
What job categories do people searching Meta Ai jobs in Reston, VA look for? The top searched job categories for Meta Ai jobs in Reston, VA are:
What cities near Reston, VA are hiring for Meta Ai jobs? Cities near Reston, VA with the most Meta Ai job openings:
Energy Operations Manager, Data Centers

Energy Operations Manager, Data Centers

Meta

Reston, VA • On-site, Remote

$160K/yr

Full-time

Posted 5 days ago


Meta rating

7.5

Company rating: 7.5 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

130th of 202 rated software companies


Job description

Meta's Infrastructure Data Center team is seeking an experienced energy professional to lead operational energy management across its global data center portfolio. As hyperscale AI and compute infrastructure demands grow, this role is central to ensuring Meta's data center energy supply is reliable, cost-effective, and operationally sound across utility interconnections, power procurement agreements, and on-site generation assets.In this role, you will own the day-to-day operational management of energy supply arrangements supporting Meta's data center campuses—spanning utility service agreements, demand response programs, behind-the-meter generation, and grid interconnection compliance. You will serve as a key interface between Meta's energy strategy, infrastructure development, and utility partners to ensure operational continuity and commercial performance across the data center energy portfolio.
Energy Operations Manager, Data Centers Responsibilities:
  • Build foundational relationships with key partners in order to drive operational excellence, risk management, and financial rigor in the energy space
  • Track and analyze energy consumption, demand profiles, and power usage effectiveness metrics across the data center portfolio to identify operational risks and optimization opportunities
  • Coordinate with data center facilities teams, grid operators, and utility account managers to manage planned and unplanned outages, curtailment events, and demand response activations
  • Monitor market developments developments affecting data center energy operations, assess commercial and compliance implications, and develop structured recommendations for leadership
  • Collaborate with energy origination, finance, and accounting teams to reconcile utility invoices, validate energy settlement statements, and support budget-to-actual variance analysis
  • Develop and maintain operational playbooks, reporting dashboards, and data systems that provide real-time visibility into energy supply reliability and cost performance across the data center portfolio
  • Identify and drive process improvements that enhance the scalability and resilience of energy operations as Meta's data center footprint expands
  • Partner with infrastructure development partners to support energy readiness for new data center sites, including utility coordination, load forecasting, and commissioning of the electrical infrastructure

Minimum Qualifications:
  • 8+ years of experience in energy operations, utility account management, or power systems management with a large energy consumer, electric utility, grid operator, or data center operator
  • Experience managing utility service agreements, interconnection agreements, or power supply contracts including billing validation, compliance monitoring, and counterparty coordination
  • Experience analyzing energy consumption data, demand profiles, and utility tariff structures to identify operational risks and cost optimization opportunities
  • Working knowledge of electric utility regulatory frameworks, tariff structures, and grid interconnection processes sufficient to manage compliance obligations and engage with utility partners
  • Experience collaborating across facilities, finance, legal, and infrastructure teams to resolve energy supply issues and support capital project delivery

Preferred Qualifications:
  • Familiarity with demand response program participation, behind-the-meter generation dispatch, and on-site renewable energy integration in a data center or industrial context
  • 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
  • Knowledge of resource adequacy requirements, capacity obligations, and grid reliability standards applicable to large commercial and industrial electricity customers
  • Experience with energy management systems, utility billing platforms, or operational reporting tools used to monitor and optimize large-scale power consumption
  • Experience supporting energy operations for hyperscale or large-scale data center campuses, including high-voltage substation coordination and critical load management

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.
$160,000/year to $232,000/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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