Research Scientist Intern, FAIR - Multimodal Foundations (PhD)

Meta; United States; Remote; USD 39,000 - 56,000; Full time

Job summary

Meta's Fundamental AI Research (FAIR) team invites research interns to advance foundational AI across NLP, audio, vision, and multimodal domains. Interns will work on core algorithms and scale ideas to large data and systems.

Applicants should be PhD candidates or have equivalent research experience with strong ML/DL skills, Python/C++, and collaboration across teams. 12–24 week programs with varied start dates; work authorization required.

Qualifications

• Pursuing a PhD or equivalent in NLP, ML/DL, CV, or related field.
• Strong track record in AI research, publications, or open-source contributions.
• Experience with Python, C++, or related languages and large-scale data.

Responsibilities

• Contribute to fundamental AI research across NLP, audio, vision, and multimodal domains.
• Develop and evaluate core algorithms at scale and apply ideas to real-world data.
• Collaborate across teams to advance research goals and communicate results.

Skills

Natural language processing

Audio processing

Computer vision

Machine learning

Deep learning

Reinforcement learning

Python

C++

Cross-functional collaboration

Education

PhD candidate or equivalent research experience

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 learning
• Multimodal understanding, reasoning, and generation
• Generative modeling (diffusion, flow matching, etc.)
• Modeling for the physical world

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://ai.meta.com/research/. 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 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