Meta AI Research Internship
The Meta AI Research Internship provides PhD students hands-on experience in advanced AI research through Meta's Fundamental AI Research (FAIR) and Superintelligence Labs teams. Interns tackle real-world challenges in generative AI, machine learning, computer vision, NLP, multimodal models, and more, developing novel algorithms, prototypes, and experiments that scale to billions of users. Programs last 12-24 weeks with flexible start dates year-round across offices like Menlo Park CA, New York NY, and Redmond WA. Interns receive mentorship, collaborate cross-functionally, contribute to top-tier publications (NeurIPS, ICML, CVPR), and open-source releases, building skills for research careers. Compensation: $7,650-$12,134/month + housing/benefits.
Unlike structured residencies, these internships emphasize practical impact on Meta products and research, with various specialized roles (e.g., World Models, Agentic AI, Perception). Requires intent to return to PhD program post-internship. Active postings confirm ongoing recruitment despite industry hiring fluctuations.
Eligibility Requirements
- Currently pursuing/obtaining PhD in Computer Vision, ML, AI, or related field
- Research/work experience in relevant domains (generative modeling, deep learning, etc.)
- Proficient in Python, C++, PyTorch/TensorFlow
- Ability to handle large-scale, high-dimensional data
- Work authorization in employment country
- Preferred: Publications at top conferences, open-source contributions, cross-functional experience
- Intent to return to degree program after internship
For thorough eligibility and selection information, visit the official website or contact the organizers directly.