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Meta Research Scientist Jobs (NOW HIRING)

Meta

AI Research Scientist, Robotics

Burlingame, CA

$219K/yr

At Meta, we're building the future of human connection and the technology that enables it. This ... AI Research Scientist, Robotics Responsibilities: * Perform fundamental and applied research to ...

Meta

AI Research Scientist, Robotics

Redmond, WA

$219K/yr

At Meta, we're building the future of human connection and the technology that enables it. This ... AI Research Scientist, Robotics Responsibilities: * Perform fundamental and applied research to ...

Meta

AI Research Scientist, SysML - FAIR

New York, NY

$184K/yr

Meta is seeking Research Engineers to join Fundamental AI Research (FAIR). We are committed to ... AI Research Scientist, SysML - FAIR Responsibilities: * Carry out cutting-edge research to advance ...

Meta

AI Research Scientist, Robotics

Menlo Park, CA · On-site

$184K - $257K/yr

Meta is seeking a Research Scientist to join Meta Superintelligence Labs. Individuals in this role are expected to be recognized experts in identified research areas such as artificial intelligence ...

Meta

AI Research Scientist, SysML - FAIR

Boston, MA

$184K/yr

Meta is seeking Research Engineers to join Fundamental AI Research (FAIR). We are committed to ... AI Research Scientist, SysML - FAIR Responsibilities: * Carry out cutting-edge research to advance ...

Meta

AI Research Scientist, Robotics

Redmond, WA · On-site

$219K - $301K/yr

At Meta, we're building the future of human connection and the technology that enables it. This ... We're seeking a Research Scientist ready to use their skills in system design and modeling and with ...

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Meta Research Scientist information

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$50.5K

$130.1K

$174K

How much do meta research scientist jobs pay per year?

As of Jun 10, 2026, the average yearly pay for meta research scientist in the United States is $130,117.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,500.00 and $173,000.00 per year, depending on experience, location, and employer.

What is the difference between Meta Research Scientist vs Data Scientist?

AspectMeta Research ScientistData Scientist
Required CredentialsAdvanced degrees in CS, AI, or related fields; research experienceBachelor's or Master's in CS, Statistics, or related fields; some research experience
Work EnvironmentResearch labs, innovation teams, collaboration with engineers and product teamsData analysis, modeling, reporting; often in business or product teams
Employer & Industry UsagePrimarily in tech companies like Meta, focusing on AI and ML researchAcross industries including tech, finance, healthcare, focusing on data-driven decision making

Meta Research Scientists focus on advancing AI and ML research through experimentation and publication, often working in research labs. Data Scientists analyze and interpret data to inform business decisions, typically working within product or business teams. While both roles require strong analytical skills, Meta Research Scientists emphasize research and innovation, whereas Data Scientists focus on applying data analysis to solve practical problems.

AI Research Scientist, CoreML - Monetization

AI Research Scientist, CoreML - Monetization

Meta

Bellevue, WA

$184K/yr

Full-time

Posted 27 days ago

Meta rating

7.5

Company rating: 7.5 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

122nd of 188 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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