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Meta Ai Jobs in Reston, VA (NOW HIRING)

Meta

Lead Counsel, Product (Facebook)

Washington, DC · On-site +1

$202K/yr

Meta's Product Counsel organization provides strategic legal advice and risk mitigation to product ... Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration ...

Meta

Regional Logistics Operations Specialist

Reston, VA · On-site

$115K - $163K/yr

... AI skills, including prompt engineering and agent orchestration, applied to supply chain or logistics operations contexts About Meta Meta builds technologies that help people connect, find ...

Meta

Data Engineer, Product Analytics

Washington, DC · On-site +1

$147K/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

Competitive Intelligence Research

Washington, DC

$177K/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 ...

Facebook App

Product Manager

Washington, DC

$205K/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 ...

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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.

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Meta Ai jobs near you
Lead Counsel, Product (Facebook)

Lead Counsel, Product (Facebook)

Meta

Washington, DC • On-site, Remote

$202K/yr

Full-time

Posted 4 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 Product Counsel organization provides strategic legal advice and risk mitigation to product, engineering, and business teams across Meta’s family of products and services. The organization partners cross-functionally to address complex, novel legal issues in a fast-paced, innovative environment, and influences product and business decisions at scale.This role sits within the Meta's Product Counsel team focused on Verticals and Monetization, including integrity and regulatory-related legal matters —advising the integrity side of Meta's business on novel and evolving regulatory frameworks, building scalable legal solutions, and partnering with cross-functional teams to ensure regulatory readiness. The attorney in this role will serve as a strategic partner to Verticals and Monetization product and engineering teams, helping them navigate emerging obligations around fraud and scams, consumer protection, product safety, and related areas, while also providing broader product counseling support across Meta.
Lead Counsel, Product (Facebook) Responsibilities:
  • Provide broader product counseling to Facebook product, engineering, and business teams on a range of legal subject areas, including data protection, privacy, competition, intellectual property, and advertising law
  • Serve as a primary legal partner to product and engineering teams, providing practical, strategic legal advice on complex and novel legal questions related to, among other things, fraud and scams, consumer protection, product and content safety, and emerging integrity-related regulatory frameworks
  • Build and scale legal solutions that enable product teams to meet regulatory obligations while maintaining product velocity and innovation
  • Analyze new products, features, and business models to identify and mitigate legal risks across multiple jurisdictions
  • Advise on a broad range of legal subject areas, including consumer protection, data protection, privacy, competition, intellectual property, and emerging legal frameworks
  • Drive high-profile, high-impact projects involving legal analysis and compliance with cross-functional stakeholders (business, policy, legal, communications, security, etc.)
  • Influence product and business decisions, ensuring alignment with legal and regulatory requirements
  • Proactively identify and address potential legal roadblocks, developing plans to mitigate risks with clear, actionable recommendations

Minimum Qualifications:
  • Juris Doctor (JD) or equivalent law degree from an accredited institution
  • Active and in good standing bar license in at least one U.S. state or equivalent foreign bar license. Where the jurisdiction of licensure differs from the location in which the role is based, the ability to promptly obtain permission to practice law for Meta in that location
  • 5+ years of legal experience as a practicing attorney, including at a law firm, in-house, or in government
  • Demonstrated experience providing legal advice on technology, internet, or media products and services
  • Experience with advertising, privacy, data protection, consumer protection, competition, and/or intellectual property laws and regulations
  • Effective communication, legal writing, and interpersonal skills
  • Demonstrated business judgment, client counseling, and strategic thinking skills
  • Proven track record of delivering results with large-scale, cross-functional projects in a fast-paced environment
  • Experience making decisions in the face of ambiguity and evolving priorities

Preferred Qualifications:
  • Experience building scalable legal processes or compliance solutions for product teams
  • Experience advising on regulatory compliance and/or responding to regulator inquiries or enforcement actions
  • 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
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Familiarity with global regulatory developments related to online fraud, scams, consumer protection, and product safety
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Track record of partnering effectively with regulators or government agencies
  • Experience counseling integrity, trust & safety, or platform enforcement teams and/or general product counseling experience at a technology or media company

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.
$202,000/year to $274,000/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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