Research Scientist Intern, FAIR - Multimodal Foundations (PhD)

Meta; San Francisco (CA); On-site; USD 85,000 - 141,000; Part time

Benefits offered by this job

Benefits

Job summary

Meta seeks Research Scientist Interns, within the FAIR Multimodal Foundations team, to advance NLP, CV, audio, and multimodal AI. Internships last 12–24 weeks with flexible start dates. You will conduct rigorous research, develop prototypes, and contribute to publications or reports.

Ideal candidates hold a PhD or are in progress, with strong Python and C++ skills, and a demonstrated track record in ML/DL research. US work authorization is required.

Qualifications

• Currently pursuing or possesses a PhD in NLP, Speech Processing, CV, ML, or AI.

Responsibilities

• Perform research to learn semantics of text, audio, images, video, and other modalities.
• Brainstorm with mentors, review literature, and propose novel solutions.
• Develop prototypes, run experiments, and analyze results against benchmarks.

Skills

Python

C++

Research in ML/AI

Education

PhD in relevant field

Job description

Meta is seeking Research Interns to join our Fundamental AI Research (FAIR) FAIR Communication & Language teams. These teams are committed to advancing the field of artificial intelligence through fundamental breakthroughs in technologies that help machines interact with and understand our world. We're looking for individuals passionate about Natural Language Processing, audio and speech processing, computer vision, machine learning, deep learning, and reinforcement learning. 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 natural language processing, computer vision, audio/speech, generative modeling, and other multimodal domains, including:Frontier model training (pretraining, midtraining, SFT/RL)Cross-lingual and cross-domain transfer learningMultimodal understanding, reasoning, and generationGenerative modeling (diffusion, flow matching, etc.)Modeling for the physical worldOur 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/.

Research Scientist Intern, FAIR - Multimodal Foundations (PhD)

Responsibilities:

• Perform research that enables learning the semantics of data (specifically text, audio, images, video, and other modalities).
• 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 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 Natural Language Processing, Speech Processing, Computer Vision, Machine Learning, Artificial Intelligence, or equivalent
• Research and/or work experience in LLMs, Speech Processing, Computer Vision, Machine Learning, Deep Learning, or equivalent
• Experience in Python, C++, or other related languages
• 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 conferences in AI (NeurIPS, ICML, ICLR, CVPR, ACL, EMNLP, Interspeech, etc.)
• Experience advancing AI, including contributions to open source libraries and frameworks
• 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
• Intent to return to degree-program after the completion of the internship/co-op

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.

Meta is proud to be an Equal Employment Opportunity and Affrahorsive 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 [e-mail].

$7,650/month to $12,667/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.