Research Scientist Intern - Content Seal - FAIR

Meta; Paris; On-site; EUR 21,000 - 34,000; Part time

Job summary

Meta is looking for Research Interns to join our Fundamental AI Research (FAIR) organization in Paris, within Meta Superintelligence Labs. The role focuses on exploring safe AI, mitigating deepfakes and harmful content, and contributing to state-of-the-art multimodal models.

This 2026 internship starts May–September. You’ll work on research that can be applied to Meta products, with mentors guiding experiments and publishing results in conferences.

Responsibilities

• Perform research to advance intelligent systems.
• Develop novel, accurate and efficient multimodal generative models for text, image, and other media.
• Contribute research that can be applied to Meta products.
• Analyze and improve efficiency, scalability, and stability of various deployed systems.

Skills

PyTorch

Python

C/C++

Job description

Meta is looking for Research Interns to join our Fundamental AI Research (FAIR) organization, within Meta Superintelligence Labs. The role of FAIR is to drive long-term research for Meta. We publish groundbreaking papers and release frameworks/libraries that are widely used in the open-source community. We closely collaborate with other organizations at Meta to bring the latest research findings to production.The team where this role sits is exploring new approaches to making AI safer, fighting deepfakes and preventing harmful content. Past work in that space includes watermarking models such as TextSeal, AudioSeal, or VideoSeal, and downstream extensions such as data traceability and benchmark leakage detection. The mission is to develop state-of-the-art algorithms that can protect our users across our platforms, with a focus on open research and scientific novelty.This is a 2026 internship opportunity with start dates from May to September. To learn more about our research, visit https://research.facebook.com.

Research Scientist Intern - Content Seal - FAIR Responsibilities:

• Perform research to advance the science and technology of intelligent systems.
• Develop novel, accurate and efficient multimodal generative models for text, image, and other media.
• Contribute research that can be applied to Meta products.
• Analyze and improve efficiency, scalability, and stability of various deployed systems.

Minimum Qualifications:

• Experience in PyTorch, Python or C/C++
• Experience training generative models for text, audio, image or video
• Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment

Preferred Qualifications:

• Comfortable manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources
• Proven track record of achieving results as demonstrated by grants, fellowships, patents, as well as first-authored publications at workshops or conferences such as ACL, EMNLP, NAACL, AAAI, ICML, NeurIPS, ICLR, Interspeech, ICASSP, ICCV, CVPR
• Ability to communicate complex research in a clear, precise, and actionable manner
• A strong interest in theoretical and empirical research and for answering hard questions with research
• Interpersonal experience: cross-group and cross-culture collaboration

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.

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.