Research Scientist Intern, FAIR

Meta is seeking Research Interns to join Fundamental AI Research (FAIR) Multimodal Foundations teams. These teams are committed to advancing the field of Artificial Intelligence by making fundamental advances in technologies to help interact with and understand our world. We are seeking individuals passionate in areas such as Natural Language Processing, Audio and Speech processing, Computer Vision, Machine Learning, Deep Learning, and Reinforcement Learning. Our interns have an opportunity to make core algorithmic advances and apply their ideas at an unprecedented scale.Our teams are looking for candidates to push the scientific and technical boundaries of multimodal generative AI. We are seeking individuals with expertise in generative modeling and computer vision, focusing on advanced topics like generative diffusion and transformer architectures, spatio-temporal modeling, multimodal dialogue and multimodal integration.Our team at Meta AI offers twelve (12) to twenty-four (24) weeks long internships and we have various start dates throughout the year. To learn more about our research, visit

• Conduct research on advanced topics in video and image generation
• Brainstorm with research mentors, review literature and existing solutions of a challenging real-world research problem
• Develop novel solutions, implement prototypes, and perform extensive experiments for large-scale generative systems to test the proposed solutions in meaningful benchmarks and metrics, analyze the results and verify the conclusions
• Draft and polish research reports and/or publications
• Present research outcomes to internal and/or external audiences
• Contribute research that can be applied to Meta product development

• Currently has or is in the process of obtaining a PhD degree in the field of Computer Vision, Machine Learning, Artificial Intelligence, or equivalent
• Strong research background evidenced by publications at top conferences such as CVPR, NeurIPS, ICLR, ICCV, ICML or SIGGRAPH
• Solid understanding of generative models (diffusion models, GANs, VAEs, autoregressive transformers, etc.)
• Proficiency in deep learning 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

• Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops or conferences in Speech & Language (ACL, EMNLP, NAACL, TACL, ICASSP, Interspeech, SLT, ASRU, TASLP)
• Experience advancing AI techniques in Natural Language Processing, including contributions to open source libraries and frameworks in Speech & Language
• Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops or conferences in Computer Vision (CVPR, ECCV, ICCV) or Machine Learning (NeurIPS, ICML, ICLR)
• Experience advancing AI techniques in Computer Vision and/or Machine Learning
• Experience manipulating and analyzing complex, large scale, high-dimensionality data from varying sources
• Experience in utilizing theoretical and empirical research to solve problems
• Experience working and communicating cross functionally in a team environment
• Experience working with large-scale datasets and compute infrastructure
• A strong track record of contributions to open-source projects, benchmarks, or shared research artifacts

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-

$7,650/month to $12,134/month + 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.