Summary
Meta is inviting applications for the AI Research Assistant (PhD) positions within its Fundamental AI Research (FAIR) Lab located in Paris, France. This prestigious 3-year fixed-term contract program is designed for exceptional candidates holding a Master’s degree who plan to enroll in a PhD program with an academic institution partnering with Meta. Successful applicants will engage in open-science and open-source artificial intelligence research, co-supervised by world-class FAIR research scientists and partner university faculty.
Position Overview
| Designation | AI Research Assistant (PhD) |
| Host Organization | Meta – Fundamental AI Research (FAIR) |
| Location | Paris, France |
| Contract Duration | 3 Years (Fixed-Term Contract / PhD Track) |
| Eligibility | Master’s degree in Computer Science, Applied Math, or related field |
| Application Status | Open (Rolling Basis) |
Designation
AI Research Assistant (PhD Candidate) – Fundamental AI Research (FAIR) Lab.
Research Area
Candidates will pursue doctoral research in cutting-edge domains of artificial intelligence and machine learning, including but not limited to:
- Foundational Models and Large Language Models (LLMs)
- Deep Learning and Reinforcement Learning
- Computer Vision
- Audio and Speech Processing
- Natural Language Processing (NLP)
- Computational Statistics and Applied Mathematics
- Computational Cognitive (Neuro)science
Location
Paris, France (with joint affiliation at an academic partner institution).
Scholarship & Position Description
The FAIR PhD program offers early-career researchers a unique collaborative environment bridging corporate fundamental research and academia. Key details and responsibilities include:
- Joint Mentorship: Dual supervision by academic faculty at a partner institution and leading research scientists at Meta FAIR.
- Open Science Focus: Research and code produced during the doctorate are intended for open publication and open-source release.
- Advanced Research: Conduct research that expands intelligent systems, improves computational representations of data, and models human behavior.
- Community Impact: Publish findings in premier international peer-reviewed AI and machine learning conferences.
Eligibility / Qualifications
Minimum Qualifications:
- Master’s degree in a technical field such as Computer Science, Applied Mathematics, Data Science, or equivalent practical experience.
- Strong foundational knowledge in Machine Learning.
- Proficiency in programming with languages such as Python or C++.
- Ability to obtain and maintain valid work authorization in France at the time of hire.
- Intent to enroll in a PhD program at a partner academic university.
Preferred Qualifications:
- Hands-on experience with modern deep learning frameworks (e.g., PyTorch, JAX).
- Familiarity with large-scale distributed training or inference systems.
- Prior research and software engineering experience proven through publications, open-source contributions, internships, or competitive programming.
- Practical track record in building systems based on machine learning, deep learning, or generative AI.
Last Date to Apply
Applications are reviewed on a rolling basis. Candidates are strongly encouraged to apply as early as possible during their PhD program search.
How to Apply
Interested candidates should prepare an up-to-date CV, academic transcripts, and details of their research interests. Complete the online application directly through the official Meta Careers portal.
Apply Link: Apply Online at Meta Careers
