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 https://research.facebook.com.

Research Scientist Intern, FAIR - Generative Vision (PhD) Responsibilities

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

Minimum Qualifications

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

Preferred Qualifications

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

Intent to return to degree-program after the completion of the internship/co-op

For those who live in or expect to work from California if hired for this position, please click here for additional information.

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.

$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.

Equal Employment Opportunity

Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.

Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.

Research Scientist Intern

Multiple Teams

Meta

Compensation Overview