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Meta Research Jobs (NOW HIRING)

Meta

Research Scientist Intern, AI Alignment

Boston, MA

$7.6K - $12K/mo

Meta is committed to advancing the field of artificial intelligence by making fundamental advances ... Research Scientist Intern, AI Alignment Responsibilities: * Develop novel state-of-the-art ...

Meta

Research Scientist, World Modelling

Menlo Park, CA · On-site

$154K - $217K/yr

Meta is seeking a Research Scientist to join the Fundamental AI Research (FAIR) team, one of the top industrial AI research organizations in the world. In this role, you will help build world models ...

Meta

AI Research Scientist, Physical AI

New York, NY · On-site

$184K - $257K/yr

Meta's Fundamental AI Research lab is seeking a Research Scientist to drive foundational research aimed at advancing physical AI capabilities. We seek to generate advanced engineering designs such as ...

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How much do meta research jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for meta research in the United States is $33.49, according to ZipRecruiter salary data. Most workers in this role earn between $19.95 and $43.03 per hour, depending on experience, location, and employer.

What is a meta research?

A Meta Research job involves studying the research process itself, analyzing methodologies, biases, reproducibility, and overall scientific practices to improve the quality and reliability of research. Meta researchers assess existing studies, identify patterns, and suggest improvements for greater transparency and accuracy. They often work in academia, industry, or policy-making to enhance evidence-based decision-making.

What are the key skills and qualifications needed to thrive in meta research?

To thrive in Meta Research, you need strong skills in research methodology, data analysis, and a solid academic background in fields such as epidemiology, statistics, or the social sciences. Familiarity with statistical software (such as R or SPSS), systematic review tools, and experience publishing in peer-reviewed journals are commonly expected. Critical thinking, attention to detail, and effective written and verbal communication are vital soft skills for success. These competencies enable accurate evaluation and synthesis of scientific studies, ensuring high-quality evidence to inform best practices and policy decisions.

What are the typical challenges faced by professionals working in meta research?

Professionals in Meta Research often encounter challenges such as synthesizing large volumes of complex and sometimes conflicting scientific literature, ensuring data quality across diverse studies, and maintaining objectivity throughout the review process. Additionally, staying updated with rapidly evolving research methodologies and publication standards can be demanding. Working collaboratively with multidisciplinary teams and effectively communicating nuanced findings to both technical and non-technical audiences are also key aspects of the role. These challenges make the work dynamic but also intellectually rewarding for those passionate about advancing scientific knowledge and improving research integrity.

How to become a Meta Research scientist?

To become a Meta Research scientist, candidates typically need a strong background in computer science, machine learning, or related fields, often requiring a Ph.D. or equivalent experience. Relevant skills include programming in Python or C++, experience with data analysis, and familiarity with research tools and frameworks. Building a strong research portfolio and publishing in reputable conferences can also improve chances of selection.

What does a Meta Researcher do?

A Meta Researcher conducts studies and analyzes data related to social media platforms, user behavior, and technology trends to inform product development and strategy. They often use data analysis tools, statistical methods, and research methodologies to generate insights. The role requires strong analytical skills and familiarity with research software and data privacy standards.
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Meta Research jobs near you
Infographic showing various Meta Research job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 85% Full Time, 11% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $69,656 per year, or $33.5 per hour.

AI Research Scientist, CoreML - Monetization

Meta

New York, NY

$184K/yr

Full-time

Re-posted 7 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 245 rated software companies

Job description

Meta’s Monetization pillar is at the cutting edge of delivering highly personalized ads that create maximum value for both users and advertisers. Within this pillar, the Ranking & AI (RAI) Research team drives state-of-the-art research initiatives, focusing on high-impact, high-risk projects—true moonshots—with the potential to redefine Meta’s monetization strategies. By consistently pushing the boundaries of what’s possible, we deliver breakthrough innovations that not only advance Meta’s business objectives but also result in publications at top-tier conferences.Inspired by recent breakthroughs in large language models (LLMs), the RAI Sequence Learning team is pioneering a transformative approach to recommender systems. We are reimagining recommendation as a generative sequence modeling problem, moving beyond traditional methods that treat recommendations as classification tasks on pairs. Instead, our approach models user and ad content, as well as historical interaction data, as sequences—unlocking new possibilities for personalization and relevance.As a research scientist on this team, you will play a pivotal role in shaping the future of technology and business at Meta, especially as we enter the era of artificial general intelligence (AGI). Your contributions will directly influence the trajectory of Meta’s monetization strategies and help define the next generation of recommender systems.
AI Research Scientist, CoreML - Monetization Responsibilities:
  • Extracting meaningful signals from both 1st-party and 3rd-party data sources
  • Advancing representation learning
  • Scaling solutions to efficiently process hundreds of billions of data points
  • Driving continuous algorithmic innovation
  • Seamlessly productionizing research breakthroughs all while optimizing serving costs

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • PhD in Computer Science, Machine Learning, or a relevant technical field
  • 3+ years of industry research experience in LLM/NLP, computer vision, or related AI/ML model training
  • Experience as a technical lead on a team and/or leading complex technical projects from end-to-end
  • Publications at peer-reviewed conferences (e.g. ICLR, NeurIPS, ICML, KDD, CVPR, ICCV, ACL)
  • Programming experience in Python and hands-on experience with frameworks such as PyTorch
  • Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment

Preferred Qualifications:
  • A track record of impactful research in the ranking/retrieval/recommendation space, as demonstrated by publications, open-source contributions, or real-world deployments
  • First-authored publications at peer-reviewed conferences (e.g. ICLR, NeurIPS, ICML, KDD, CVPR, ICCV, ACL)
  • Experience in pre-training, post-training, fine-tuning models
  • Experience in causal learning, sequence learning, classification, neural networks, graph learning, items associated, in-depth content understanding (user behavior, user interaction)
  • Experience solving complex problems and comparing alternative solutions, tradeoffs, and broad points of view to determine a path forward
  • Willing to collaborate with others in a productive, interdisciplinary environment

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.
$184,000/year to $257,000/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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