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Meta Legal Jobs in California (NOW HIRING)

You will partner closely with Recruiting, People Partners, Legal, and business leaders to ensure our immigration infrastructure keeps pace with Meta's ambitious growth and evolving regulatory ...

You will partner closely with Recruiting, People Partners, Legal, and business leaders to ensure our immigration infrastructure keeps pace with Meta's ambitious growth and evolving regulatory ...

... legal and economic concepts into actionable policy recommendations * Engage directly with competition authorities, legislative staff, and government officials to represent Meta's interests in ...

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Meta Legal information

What are the key skills and qualifications needed to thrive as a Meta Legal professional?

To thrive as a Meta Legal professional, you need a robust understanding of technology law, intellectual property, data privacy, and compliance, typically supported by a JD or equivalent legal qualification. Familiarity with legal research tools, contract management systems, and data privacy platforms like GDPR compliance software is essential. Strong analytical thinking, negotiation skills, and the ability to communicate complex legal concepts to non-legal stakeholders make someone stand out in this position. These skills are vital for ensuring organizational compliance, protecting digital assets, and facilitating sound business decisions in a rapidly evolving tech landscape.

What is the difference between Meta Legal vs Meta Compliance Officer?

AspectMeta LegalMeta Compliance Officer
Required CredentialsLegal degree, JD or equivalent, bar admission often preferredLegal background, compliance certifications (e.g., CCEP) beneficial
Work EnvironmentLegal departments, corporate offices, legal teamsCompliance teams, legal and regulatory departments
Employer & Industry UsageUsed across tech, media, and corporate sectors for legal mattersCommon in tech and corporate sectors focusing on regulatory adherence
Search & Comparison IntentUnderstanding legal roles at MetaUnderstanding compliance roles at Meta

Meta Legal primarily handles legal matters, contracts, and legal compliance, requiring a legal degree and bar admission. Meta Compliance Officer focuses on regulatory adherence, risk management, and policy enforcement, often with compliance certifications. Both roles work closely within corporate environments but differ in their core responsibilities and required credentials.

What are some common challenges faced by legal professionals working at Meta, and how can candidates prepare for them?

Legal professionals at Meta often navigate complex, rapidly evolving regulatory environments and must balance innovation with compliance, particularly in areas like data privacy and intellectual property. Collaboration with cross-functional teams—such as product, engineering, and policy—is essential, requiring strong communication and adaptability. Candidates can prepare by staying current with global tech regulations, developing strong problem-solving skills, and gaining experience in fast-paced, technology-driven workplaces.

What is a Meta Legal professional?

Meta Legal professionals are experts who provide legal counsel and support specifically for Meta Platforms, Inc. (formerly Facebook). Their responsibilities include advising on compliance with global regulations, handling intellectual property matters, supporting product launches, managing contracts, and representing the company in legal proceedings. They work closely with internal teams to anticipate legal risks and ensure Meta’s operations align with applicable laws and ethical standards.
What are popular job titles related to Meta Legal jobs in California? For Meta Legal jobs in California, the most frequently searched job titles are:
What job categories do people searching Meta Legal jobs in California look for? The top searched job categories for Meta Legal jobs in California are:
What cities in California are hiring for Meta Legal jobs? Cities in California with the most Meta Legal job openings:
Infographic showing various Meta Legal job openings in California as of July 2026, with employment types broken down into 1% As Needed, 86% Full Time, 12% Part Time, and 1% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution.

AI Research Scientist, Post-Training - Meta Superintelligence Labs

Meta

Menlo Park, CA • On-site, Remote

$154K/yr

Full-time

Re-posted 11 days ago


Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

137th of 242 rated software companies


Job description

Meta is seeking Research Scientists to join the Post-Training team within Meta Superintelligence Labs (MSL). High-quality data is the core of AI progress at MSL, fueling the complex capabilities we build, how our models reason, and how they interact with the world. As a Research Scientist, you will provide the technical vision to design, generate, and curate the critical post-training data (SFT, RLHF) that aligns and enhances our frontier AI systems. You will conduct research to develop and optimize post-training recipes that directly improve model quality.This is a technical research role requiring sound scientific judgment, creativity, and the ability to drive ambitious research agendas with independence. The data strategies you develop will directly influence research direction and major model lines within MSL, making data quality, methodological rigor, and clear communication important. You will collaborate closely with technical leadership to ensure our data pipelines capture the most important capabilities—ranging from expert domains (STEM, GDP-valuable tasks, finance, legal, health) to advanced agentic tasks (search, Deep research, computer use, coding, UI generation, and shopping agents).We are looking for exceptional research talent—researchers who have shaped the field of machine learning and are ready to do so again at the frontier of AI. If you are passionate about defining how we teach and align AI systems and want to shape the scientific foundations of frontier AI development, we encourage you to apply for this exciting opportunity at the core of MSL.
AI Research Scientist, Post-Training - Meta Superintelligence Labs Responsibilities:
  • Design novel methodologies for post-training data collection, curation, and synthetic data generation
  • Define data quality frameworks and alignment strategies that guide capability development across MSL, particularly for complex reasoning and agentic behaviors
  • Drive the scientific vision for eliciting high-quality data in expert domains (finance, legal, health, STEM) and complex agentic trajectories (Deep research, computer use, UI generation)
  • Conduct research to develop and optimize post-training recipes that directly improve model quality
  • Partner with cross-functional research teams across product and model training to identify and prioritize gaps in model capabilities
  • Contribute to research workstreams that shape the long-term direction of data-centric AI at MSL, working independently while also contributing to team goals and organizational priorities

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • Ph.D. in Computer Science, Machine Learning, or a related technical field
  • 3+ years of experience in machine learning research, with a focus on deep learning, data alignment, NLP, or related areas
  • Demonstrated ability to lead technical research projects from conception to production
  • Effective communication skills and experience collaborating with technical leadership

Preferred Qualifications:
  • Multiple first-author publications at top-tier peer-reviewed venues (NeurIPS, ICML, ICLR, ACL, EMNLP, or similar) related to language model alignment, synthetic data generation, RLHF, or deep learning
  • Recognized expertise in data-centric AI, post-training methodologies, or complex reasoning data
  • Track record of research that has substantially influenced the field of deep learning
  • Hands-on experience with language model post-training, RLHF, DPO, or related alignment techniques

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.
$154,000/year to $217,000/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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