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Meta Fair information

What are Meta Fair jobs?

Meta Fair jobs refer to positions available at Meta (formerly Facebook) that are related to organizing, managing, or supporting career fairs and recruitment events. These roles often involve event planning, coordination with hiring managers, and engaging with potential candidates. The goal is to create a positive candidate experience and ensure that Meta attracts diverse, high-quality talent. Meta Fair jobs may also include roles in employer branding and outreach to universities or professional organizations.

What are the key skills and qualifications needed to thrive as a Meta Fair organizer, and why are they important?

To thrive as a Meta Fair organizer, you need strong event planning, project management, and organizational skills, typically backed by experience in logistics and stakeholder coordination. Familiarity with event management software, budgeting tools, and digital marketing platforms is often necessary. Excellent communication, adaptability, and problem-solving abilities help you effectively manage teams and engage participants. These competencies are crucial for delivering successful, well-coordinated events that meet organizational goals and attendee expectations.

What are some common challenges faced by professionals working in Meta's Fairness (Meta Fair) team, and how can applicants prepare for them?

Professionals on Meta's Fairness team often encounter the challenge of balancing technical innovation with ethical considerations, especially when developing algorithms that impact millions of users. The role requires navigating complex data sets, identifying and mitigating potential biases, and collaborating closely with cross-functional teams such as engineering, policy, and legal. To prepare, applicants should strengthen their understanding of machine learning fairness, develop strong communication skills to explain technical concepts to non-technical stakeholders, and stay updated on the latest research in responsible AI. A proactive approach to continuous learning and openness to interdisciplinary collaboration will be especially valuable.

What is the difference between Meta Fair vs Meta Coordinator?

AspectMeta FairMeta Coordinator
Required CredentialsHigh school diploma or equivalent; event planning experienceHigh school diploma; experience in event coordination
Work EnvironmentEvent venues, outdoor and indoor settingsOffice-based with on-site event support
Industry UsageEvent management, entertainment, community outreachEvent planning, logistics, community engagement

Meta Fair and Meta Coordinator roles both involve event planning and community engagement, but Meta Fair typically refers to large-scale public events requiring extensive logistics, while Meta Coordinator focuses on supporting and coordinating these events behind the scenes. Both roles require similar credentials and are used within the same industry, with Meta Fair being more event-focused and Meta Coordinator emphasizing coordination and logistics.

What are popular job titles related to Meta Fair jobs in California? For Meta Fair jobs in California, the most frequently searched job titles are:
What job categories do people searching Meta Fair jobs in California look for? The top searched job categories for Meta Fair jobs in California are:
What cities in California are hiring for Meta Fair jobs? Cities in California with the most Meta Fair job openings:
Meta Fair jobs near you
Infographic showing various Meta Fair job openings in California as of July 2026, with employment types broken down into 76% Full Time, 20% Part Time, 1% Temporary, and 3% Contract. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution.

Research Engineer (Technical Leadership), FAIR Data - Meta Superintelligence Labs

Meta

Menlo Park, CA

$219K/yr

Full-time

Re-posted 23 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 246 rated software companies

Job description

Meta is seeking Research Engineers to help us build the data foundation for Meta's most advanced Large Language and Media Models. We're looking for researchers with LLM expertise to join us on working with data at scale and to push beyond the data ceiling.Our team contributes to data curation across all stages of LLM development (pre-training, mid-training, post-training) and all domains/modalities (e.g., web, code, image, video, multilingual).We tackle the hardest challenges at trillion-scale, including organic data curation, synthetic data generation, agent and interaction data, and frontier paradigms that redefine what's possible.Based in Meta Superintelligence Labs (MSL) within the Fundamental AI Research Organization (FAIR), you'll directly contribute to Meta’s frontier models, while having the chance to collaborate with researchers and engineers across MSL.
Research Engineer (Technical Leadership), FAIR Data - Meta Superintelligence Labs Responsibilities:
  • Collaborate with cross-functional teams to develop Meta’s next foundational models
  • Architect efficient and scalable data curation systems and pipelines
  • Fundamentally improve our data velocity across workflows and projects by contributing to the advancement of data tooling
  • Execute on high priority projects in pre-training, mid-training, or post-training data curation
  • Apply specialized expertise in video/image perception or generation, OCR, agentic data, synthetic data, multilingual data, reasoning data, web parser, coding data, data scaling laws, or datamix optimization
  • Lead complex technical projects end-to-end

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 4+ years of industry research experience with pre/mid/post-training data curation for large language or large media models
  • 4+ years of formal technical lead experience
  • Experience leading major technical initiatives with cross-functional impact and influencing strategy across multiple teams
  • Published research in leading peer-reviewed conferences (e.g., ACL, NeurIPS, ICML, ICLR, AAAI, KDD, CVPR, ICCV) and/or demonstrated significant industry influence in the field of AI

Preferred Qualifications:
  • Hands-on experience on SQL and large-scale data handling, with familiarity of frameworks like Spark and Hive
  • Programming experience in Python and hands-on experience with frameworks like PyTorch or Spark, or related distributed computing frameworks (Ray, DataFlow)
  • Master's degree or PhD in Computer Science or a related technical field
  • First-author publications at top peer-reviewed conferences (e.g., ACL, NeurIPS, ICML, ICLR, AAAI, KDD, CVPR, ICCV)
  • Experience working on frontier-quality/state-of-the-art Large Language or Large Media Models

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.
$219,000/year to $301,000/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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