AI Research Scientist, Language - Generative AI
Spotted 1h ago
Job details
- Level
- Entry level
- Experience
- 2+ years
- Education
- Bachelor's degree
- Posted
- Oct 30, 2026
- Last confirmed open
- Oct 30, 2026
Job description
About this role
Meta is seeking a Research Scientist to join our Llama Large Language Model (LLM) Research team. We are looking for recognized experts in NLP or reinforcement learning; with experience in areas like LLM alignment; multilingual modeling; code generation; responsible AI; and model controllability.
The ideal candidate will have an interest in producing and applying new science to help us develop and responsibly release large language models.
Responsibilities
- Lead, collaborate, and execute on research that pushes forward the state of the art in large language model research
- Directly contribute to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results
- Work with a large and globally distributed team
- Contribute to publications and open-sourcing efforts
- Help identify long-term ambitious research goals as well as intermediate milestones
- Prioritize research that can be applied to Meta's product development
- Mentor other team members. Play a significant role in healthy cross-functional collaboration
Qualifications
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- A PhD in AI, computer science, or related technical fields
- Experience holding an industry, faculty, or government researcher position
- Publications in machine learning
- Experience writing software and executing complex experiments involving large AI models and datasets
- Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment Direct experience in generative AI and LLM research.
- Experience developing and debugging in Python.
- First author publications experience at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL).
- 2+ year(s) of work experience in a university, industry, or government lab, in a role with primary emphasis on AI research.
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