Research Scientist Intern, FAIR - Multimodal Foundations (PhD)

Meta; Bellevue (WA); On-site; USD 22,000 - 36,000; Full time

Job summary

Meta is seeking Research Interns to join the Fundamental AI Research (FAIR) Communication & Language teams in Bellevue, WA. Interns will work on core AI research spanning NLP, audio/speech, computer vision, and multimodal ML with a focus on scalable experiments and novel methodologies.

Ideal candidates are pursuing a PhD and have experience with Python/C++, ML/DL frameworks, and a track record of publications or open-source contributions.

Qualifications

• PhD candidate in NLP/AI/ML or related field.
• Experience with LLMs, Speech Processing, CV, ML or DL.
• Strong Python and C++ programming skills.
• Eligible to work in the United States and maintain work authorization.
• Proven record of significant research results via grants, fellowships, patents or publications.

Responsibilities

• Conduct research to learn semantics across text, audio, images, video, and other modalities.
• Collaborate with mentors, review literature and current solutions.
• Develop novel approaches, implement prototypes and run experiments with benchmarks.
• Draft and polish research reports or publications.

Skills

Python

C++

Research

Open source

Publications

Cross-functional teamwork

Communication

Education

PhD candidate in NLP/ML/AI

Tools

PyTorch

TensorFlow

Git

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/.

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.

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 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