Multimodal AI Research Intern - 12-24 Weeks

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'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.