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Meta Fair Jobs (NOW HIRING)

Vals AI

Head of Research

San Francisco, CA · On-site

Prior experience at a frontier lab (Anthropic, OpenAI, Google DeepMind, Meta FAIR) or a research‑led startup. * Domain depth in one or more of our verticals (legal, finance, insurance, healt ...

Meta

Computer Vision Engineer, Reality Labs

Redmond, WA · On-site

$154K - $217K/yr

... Research (FAIR). Responsibilities Design and develop novel factory and online calibration ... Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual ...

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$33

How much do meta fair jobs pay per hour?

As of Jul 10, 2026, the average hourly pay for meta fair in the United States is $25.48, according to ZipRecruiter salary data. Most workers in this role earn between $21.39 and $30.05 per hour, depending on experience, location, and employer.

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.

More about Meta Fair jobs
What cities are hiring for Meta Fair jobs? Cities with the most Meta Fair job openings:
What states have the most Meta Fair jobs? States with the most job openings for Meta Fair jobs include:
What job categories do people searching Meta Fair jobs look for? The top searched job categories for Meta Fair jobs are:
Meta Fair jobs near you
Infographic showing various Meta Fair job openings in the United States as of July 2026, with employment types broken down into 77% Full Time, 20% Part Time, 1% Temporary, and 2% Contract. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution, with an average salary of $52,999 per year, or $25.5 per hour.
Research Engineer - MSL FAIR Foundations

Research Engineer - MSL FAIR Foundations

Meta

New York, NY

$154K/yr

Full-time

Re-posted 2 days ago

Meta rating

7.5

Company rating: 7.5 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

131st of 205 rated software companies

Job description

Meta is seeking Research Engineers to join the Evaluations team within Meta Superintelligence Labs. Evaluations are the core of AI progress at MSL, determining what capabilities get built, which features get prioritized, and how fast our models improve. As a Research Engineer on this team, you will curate and build the benchmarks for our most advanced AI models, across text, vision, audio, and beyond. You'll work alongside world-class researchers and engineers to collect, develop, and deploy novel benchmarks and reinforcement learning environments.This is a highly technical role requiring solid research engineering skills and the ability to work independently on a variety of open-ended machine learning challenges with high reliability. The evaluations you build will directly impact the research direction and major model lines within MSL, making engineering reliability, rigor, and scalability paramount. You will excel by maintaining high velocity while adapting to rapidly shifting priorities as we advance the technical research frontier. You'll need to be flexible and adaptive, tackling a wide variety of problems in the evaluations space, from implementing existing benchmarks to developing novel benchmarks and environments to implementing evaluation tooling at scale.If you are passionate about defining the capabilities that drive AI progress and thrive in fast-paced, high-impact research environments, we encourage you to apply for this exciting opportunity at the core of MSL.
Research Engineer - MSL FAIR Foundations Responsibilities:
  • Curate and integrate publicly available and internal benchmarks to direct the capabilities of frontier model development
  • Develop and implement evaluation environments, including environments for novel model capabilities and modalities
  • Collaborate with external data vendors to source and prepare high-quality evaluation datasets
  • Execute on the technical vision of research scientists designing new benchmarks and evaluations
  • Build robust, reusable evaluation pipelines that scale across multiple model lines and product areas
  • Contribute to evaluation tooling that measures the quality and reliability of evaluation suites

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 3+ years of experience in machine learning engineering, machine learning research, or a related technical role
  • Proficiency in Python and experience with ML frameworks such as PyTorch
  • Experience identifying, designing and completing medium to large technical features independently, without guidance
  • Demonstrated experience in software engineering practices including version control, testing, and code review practices
  • Ability to work independently and adapt to rapidly changing priorities

Preferred Qualifications:
  • Publications at peer-reviewed venues (NeurIPS, ICML, ICLR, ACL, EMNLP, or similar) related to language model evaluation, benchmarking, or deep learning
  • Hands-on experience with language model post-training and deep learning systems, or building reinforcement learning environments
  • Experience implementing or developing evaluation benchmarks for large language models and multimodal models (e.g., vision-language, audio, video)
  • Experience working with large-scale distributed systems and data pipelines
  • Familiarity with language model evaluation frameworks and metrics
  • Track record of open-source contributions to ML evaluation tools or benchmarks

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.
$154,003/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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