AI Research Scientist: Memory, Reasoning & Alignment

Meta; Menlo Park (CA); On-site; USD 184,000 - 257,000; Full time

Benefits offered by this job

Equity

Bonus

Benefits

Job summary

Meta is seeking an AI Research Scientist to join the MSL FAIR Alignment team, a part of the FAIR pillar. The role focuses on defining and driving research in reasoning, memory, alignment, and agentic learning, with broad responsibilities from design to publishing results.

Office location in Menlo Park, CA, with industry-scale resources for exploring long-horizon reinforcement learning, self-supervised objectives, and tool-using agents.

Qualifications

• 2+ years of industry research experience in Generative AI and LLM.
• Published research in leading peer-reviewed conferences (ACL, EMNLP, NeurIPS, ICML, ICLR) and/or significant industry influence in AI.

Responsibilities

• Define and drive research agendas in reasoning, memory, alignment, and agentic learning.
• Design and run large-scale experiments to test novel algorithmic ideas, including long-horizon RL and self-supervised objectives.
• Develop scalable alignment methods—self-alignment, self-improvement, and co-improvement loops.
• Invent and evaluate memory architectures for models that reason over long contexts and horizons.

Skills

Python

PyTorch

Generative AI

LLMs

Job description

Meta is seeking an AI Research Scientist to join the MSL FAIR Alignment team, a part of the FAIR pillar. The role focuses on defining and driving research in reasoning, memory, alignment, and agentic learning, with broad responsibilities from design to publishing results.

Office location in Menlo Park, CA, with industry-scale resources for exploring long-horizon reinforcement learning, self-supervised objectives, and tool-using agents.