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Hourly Meta Research Jobs (NOW HIRING)

Meta

Research Engineer, MRS AI

Menlo Park, CA

$121K/yr

Meta is seeking a Research Engineer to join our Meta Recommendation Systems (MRS) AI Algorithm Team ... Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual ...

Meta

AI Research Engineer

Menlo Park, CA

$183K/yr

We're hiring Research Engineers to join teams across Meta working at the intersection of frontier ... Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual ...

Meta

Research Scientist Intern, AI Alignment

Seattle, WA

$7K - $12K/mo

Meta is committed to advancing the field of artificial intelligence by making fundamental advances ... Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual ...

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What are some common challenges faced by professionals working in hourly meta research roles, and how can they be addressed?

One common challenge in hourly meta research roles is managing the volume and diversity of data sources that must be analyzed within tight timeframes. Researchers often need to adapt quickly to changing project scopes and ensure that their findings remain accurate and relevant. Effective communication with team members and stakeholders is essential to clarify research objectives and prioritize tasks efficiently. Leveraging collaborative tools and staying organized can help mitigate these challenges, allowing researchers to deliver high-quality insights even on a tight hourly schedule.

What are Hourly Meta Research jobs?

Hourly Meta Research jobs involve conducting research and analysis on research methodologies, trends, or outcomes, typically on an hourly basis. People in these roles may review scientific literature, evaluate research quality, and synthesize findings to inform best practices or future studies. These positions are often found in academic, scientific, or data-driven organizations and may be remote or on-site. Hourly compensation allows for flexible work arrangements and is common for short-term or project-based research support.

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

To excel as a Meta Researcher, you need strong analytical skills, experience in systematic reviews, and a background in research methodology, often supported by advanced degrees in science or social sciences. Familiarity with statistical analysis software, reference management tools, and databases like PubMed or Web of Science is typically required. Attention to detail, critical thinking, and effective communication are vital soft skills for interpreting data and collaborating with research teams. These abilities ensure the quality, transparency, and impact of research syntheses, which are crucial for evidence-based decision-making.
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Hourly Meta Research jobs near you
Infographic showing various Hourly Meta Research job openings in the United States as of May 2026, with employment types broken down into 2% Locum Tenens, 6% Internship, 18% As Needed, 27% Full Time, 26% Temporary, and 21% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.
Research Engineer, MRS AI

Research Engineer, MRS AI

Meta

Menlo Park, CA

$121K/yr

Full-time

Posted 6 days ago

Meta rating

7.5

Company rating: 7.5 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

120th of 186 rated software companies

Job description

Meta is seeking a Research Engineer to join our Meta Recommendation Systems (MRS) AI Algorithm Team. Join us to build Meta’s User Intelligence Engine — a unified platform that models who the user is, what they need, and why they act by integrating state, representation, reasoning, and multi-architecture modeling to power Meta’s Recommendation System with personalized, context-aware experiences across the ecosystem.We’re bringing together two powerhouses:- Generative AI/LLMs for semantic understanding and reasoning- Meta’s world-class ads & organic ranking expertise for optimized decision-making at scaleAs part of a rapidly growing ML team, you’ll shape the next generation of User Understanding models and Meta Recommendation Systems, delivering personalization that feels intuitive, adaptive, and truly human.
Research Engineer, MRS AI Responsibilities:
  • Develop and implement large-scale model architectures, leveraging model scaling and transfer learning techniques
  • Prioritize training scalability and signal scaling to optimize model performance, efficiency, and reliability
  • Develop and apply NextGen sequence learning techniques to drive advancements in recommender systems and machine learning
  • Design and implement generative modeling solutions for data augmentation
  • Develop and deploy machine learning pipelines
  • Develop and implement innovative solutions for data-related challenges, utilizing knowledge of semi/self-supervised learning, generative techniques, sampling, debiasing, domain adaptation, continual learning, data augmentation, cold-start, content understanding, and large language models

Minimum Qualifications:
  • Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
  • Research experience in machine learning, deep learning, and/or recommender systems, natural language processing
  • Programming experience in Python and hands-on experience with frameworks such as PyTorch
  • Exposure to architectural patterns of large scale software applications

Preferred Qualifications:
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Master's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • A PhD in AI, computer science, data science, or related technical fields
  • First author publications at peer-reviewed AI conferences (e.g., NeurIPS, ICML, ICLR, RecSys, SIGIR, KDD, WSDM, TheWebConf, ICDM, ACL, EMNLP, NAACL, AAAI, ICCV, CVPR)
  • Direct experience in generative AI, LLMs, RecSys, ML research
  • Experience with developing large-scale machine learning models from inception to business impact

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.
$121,992/year to $181,000/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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