Currently tracking 125 active AI roles, up 55% versus the prior 4 weeks. Primary focus: Ship · Research.
Meta currently has 129 active AI-related job listings. The hiring is most concentrated in the application stage, representing 22% of the roles, followed closely by agents at 20% and pre-training at 16%. Research is the dominant function, with 63 roles, followed by Engineering with 52. The majority of these positions are located in the United States. Frequent tech tags include agent_orchestration, frontier_research, and multimodal. Over the last 30 days, Meta posted 18 new AI roles, a 31% decrease compared to the previous 30-day period.
Meta currently has 140 active AI-related roles in our index. The most common open titles are: Business Support Engineer (5), AI Research Scientist, Robotics (3), Business Engineer, Business AI (3), Software Engineer, Systems ML (3), AI Research Scientist, VLM (vision language models) (2). Most positions are in Engineering and Research.
Meta's active AI hiring is concentrated in: agents (24%), application (20%), serving infrastructure (16%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Meta is hiring AI talent in: United States (112 roles), United Kingdom (9 roles), France (7 roles), Singapore (6 roles).
Job postings at Meta most frequently mention: Machine Learning, Large Language Models (LLMs), Agentic Systems, Robotics, Generative AI.
In the past 30 days, Meta has posted 66 new AI-related roles. That is a +100% change versus the prior 30 days (33 → 66).
| Title | Stage | AI score |
|---|---|---|
| AI Research Scientist, Robotics Research Scientist focused on embodied AI and robotics, developing novel data-driven paradigms and algorithms leveraging various modalities and machine learning techniques for both simulation and real-world robots. The role involves pushing the frontiers of AI in robotics, with a strong emphasis on producing open science and publications. | AgentData | 10 |
| AI Research Scientist - FAIR Social Intelligence Research Scientist to contribute to Social Intelligence within complex multi-agent ecosystems, bridging centrally orchestrated multi-agent systems and social reasoning paradigms. Drive research focused on enabling autonomous agents to navigate the 'coordination bottleneck' through the development of Theory of Mind (ToM), intent modeling, and emergent social behaviors. Synthesize principles from reinforcement learning, game theory, and behavioral science to make agents capable of sophisticated alignment, ensuring ethical operation within human-centric environments. |
| Agent |
| 10 |
| AI Research Scientist — Agentic AI for Materials Discovery Research Scientist role focused on designing and building LLM-orchestrated multi-agent systems for autonomous materials discovery pipelines. This involves integrating agentic AI with computational tools, developing RAG systems, and collaborating with domain experts to accelerate discovery timelines. The role contributes to both production systems and published research. | Agent | 9 |
| AI Research Scientist, Robotics Research Scientist focused on embodied AI and robotics, developing novel data-driven paradigms and algorithms using machine learning and neural networks for both simulated and real-world robots. The role involves pushing the frontiers of AI in robotics, from low-level control to high-level intelligence, and requires experience with various modalities and research areas like reinforcement learning, vision, and LLMs. | AgentData | 9 |
| Research Scientist, Advanced Control Research Scientist role focused on developing advanced control strategies, particularly RL-based, for industrial data center operations to improve efficiency, reliability, and sustainability. The role involves defining roadmaps, leading cross-functional initiatives, and translating operational challenges into deployable solutions. | Agent | 7 |