Research Scientist Intern, FAIR - Video Generation (PhD)

Summary:

Meta is seeking Research Interns to join the Fundamental AI Research (FAIR) Communication & Language team within Meta Superintelligence Labs (MSL). Our mission is to advance the science of intelligence and develop technologies that push the boundaries of AI. We are looking for interns with interest in video generation and post-training of large-scale models to help build the perceptual and generative foundations for next-generation AI systems. This internship offers the opportunity to collaborate with a highly interdisciplinary team of scientists, engineers, and cross-functional partners, leveraging cutting-edge technology, resources, and research facilities. Our interns have the opportunity to make core algorithmic advances and apply their ideas at an unprecedented scale.We're especially interested in candidates with expertise across video generation, computer vision, and multimodal AI, including:Generative modeling for video (diffusion, flow matching, video synthesis)Post-training of large-scale video and multimodal models (SFT/RL, optimization, data curation)Video-language models and architectures for video generationMultimodal understanding, reasoning, and generationFrontier model development (e.g., Llama, LMMs)Perceptual foundations for real-time embodied agents and conversational AIOur 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://ai.meta.com/research/.

Required Skills:

Research Scientist Intern, FAIR - Video Generation (PhD) Responsibilities:

1. Conduct fundamental and applied research in video generation, including generative models, video synthesis, and multimodal learning.

2. Develop and optimize post-training paradigms for large-scale video and multimodal models, improving their performance, robustness, and generalization.

3. Collaborate with teams across Meta to build perceptual foundations for real-time embodied agents and conversational AI.

4. Contribute to the development of frontier models (e.g., Llama, LMMs) and push the boundaries of video and media generation.

5. Brainstorm with research mentors, review literature and existing solutions of a challenging real-world research problem.

6. Develop novel solutions, implement prototypes, and perform extensive experiments to test the proposed solutions in meaningful benchmarks and metrics, analyze the results and verify the conclusions.

7. Draft and polish research reports and/or publications.

8. Present research outcomes to internal and/or external audiences.

9. Contribute research that can be applied to Meta product development.

Minimum Qualifications:

Minimum Qualifications:

1. Currently has or is in the process of obtaining a PhD degree in Computer Science, Electrical Engineering, Computer Vision, Machine Learning, Artificial Intelligence, relevant technical field, or equivalent

2. Research and/or work experience in video generation, computer vision, or multimodal AI

3. Experience with large-scale model training, post-training optimization techniques, and/or data curation

4. Experience in Python, C++, or other related languages, and deep learning frameworks (e.g., PyTorch, TensorFlow)

5. Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment

Preferred Qualifications:

Preferred Qualifications:

1. Demonstrated research and software engineering experience via internships, industry or academic work experience, coding competitions, or widely used contributions in open source repositories (e.g., GitHub)

2. Experience with video generation, video synthesis, or multimodal fusion techniques

3. Experience with video-language models and architectures relevant to video generation and post training

4. Proven track record of achieving significant results, as demonstrated by grants, fellowships, patents, or publications at leading workshops, journals, or conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV)

5. Experience manipulating and analyzing complex, large scale, high-dimensionality data from varying sources

6. Experience solving complex problems and evaluating alternative solutions, tradeoffs, and perspectives to determine a path forward

7. Experience working and communicating cross-functionally in a collaborative, interdisciplinary team environment

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

Public Compensation:

$7,650/month to $12,667/month + benefits

Industry: Internet

Equal Opportunity:

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 [email protected].