Research Scientist, AI Language Research

Meta is seeking a Research Scientist to advance the frontiers of open source large language models, contributing to foundational research and applied breakthroughs. In this role, you will lead original research in large language model post-training (SFT, RL) and related areas, translating scientific discoveries into real-world impact at scale.

You will collaborate with researchers and engineers to define the next generation of language understanding and generation systems.

Responsibilities

• Collaborate with cross-functional teams to develop Meta’s next foundational models
• Execute on high-priority projects in post-training
• Design and execute experiments to validate novel hypotheses in language AI, selecting appropriate metrics and evaluation frameworks to measure progress
• Develop and implement state-of-the-art language model architectures, training objectives, and inference techniques at scale
• Own the technical design of research systems and infrastructure, evaluating trade-offs across model quality, computational efficiency, and scalability
• Publish and present research contributions at top-tier venues in natural language processing and machine learning
• Provide technical direction and mentorship to other researchers and engineers working in language AI
• Partner with cross-functional teams including product, infrastructure, and policy to ensure responsible and impactful deployment of language technologies
• Drive roadmapping and stakeholder alignment for multi-quarter research initiatives with broad organizational impact
• Establish and evolve evaluation benchmarks, monitoring frameworks, and reliability standards for language model systems

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• A PhD in Computer Science or a related technical field
• 2+ years of industry research experience in LLM/NLP or related AI/ML models
• Experience as a formal technical lead, leading major technical initiatives with cross-functional impact, and/or influencing strategy across multiple teams
• Experience as a formal technical lead in large language model project
• Practical experience with post-training for large foundational models
• Published research in leading peer-reviewed conferences (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP) and/or demonstrated significant industry influence in the field of AI Hands-on experience in PyTorch
• Multiple first-author publications in leading peer-reviewed conferences (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP)
• Hands-on experience with RL, SFT
• Experience working on frontier-quality/state-of-the-art Large Language Models