Postdoctoral Researcher (PhD) - FAIR - Core Learning

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Verification

Not verified checked Jun 7, 2026

Salary

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401(k) match

Reported from DOL Form 5500 industry filing (not employer-specific)

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Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Engineering From the posting source checked Jun 20, 2026

Seniority

Mid From the posting source checked Jun 20, 2026

Schedule

Shift type

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Weekend work

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Company

Company stage

Public-company From the posting source checked Jun 20, 2026

Equity

Offered Verified - SEC 10-K source checked Jun 20, 2026

Application

Cover letter

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Assessment

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Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Postdoctoral Researcher (PhD) - FAIR - Core Learning Paris, France Meta's Fundamental AI Research (FAIR) organization is seeking a postdoctoral researcher to drive advancements in generative models, with a particular focus on fundamental topics (data efficiency, continual learning) in large language models (LLMs) research. The role involves working across the full spectrum of research, engineering, and deployment for both product and frontier model efforts. Responsibilities: - Innovate, lead, and execute pioneering research to push the state-of-the-art in generative models and LLM performance - Systematically perform independent research, quickly adapting to new developments in the field - Directly contribute to the experimental process, including designing details, implementing reusable code, running evaluations, and organizing results - Contribute to publications, open-sourcing initiatives, and mentor other team members - Ensure effective cross-functional collaboration Minimum qualifications: - Currently possess or be pursuing a PhD in Computer Science, Mathematics, or a similar quantitative discipline - Demonstrated experience with training, fine-tuning, and experimentation on foundation models beyond black-box usage - Must be able to obtain and maintain work authorization in the country of employment Preferred qualifications: - Ability to communicate complex ideas with peers - Hold first-author publications at peer-reviewed AI conferences (e.g., NeurIPS, ICML, ICLR) - Familiarity with PyTorch 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

Read the full description at www.metacareers.com. FewerJobs shows a preview and links to the original posting.