Currently tracking 121 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 136 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 (23%), 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 (108 roles), United Kingdom (9 roles), France (7 roles), Singapore (6 roles).
Job postings at Meta most frequently mention: Machine Learning, Large Language Models (LLMs), Robotics, Agentic Systems, Generative AI.
In the past 30 days, Meta has posted 67 new AI-related roles. That is a +103% change versus the prior 30 days (33 → 67).
| Title | Stage | AI score |
|---|---|---|
| AI Research Engineer Meta is seeking a Research Engineer to work on frontier AI and real-world product impact within Facebook's ecosystem. The role involves building post-training, evaluation, and serving systems for LLMs, developing an agentic platform, optimizing systems through fine-tuning, and adapting these across Meta's products. The position offers end-to-end ownership, the opportunity to work on unsolved research questions with product consequences, and high autonomy in shaping technical direction for GenAI products used by billions. | Post-trainServe | 9 |
| Research Engineer, Computer Vision Research Engineer focused on Multi-Modal Understanding, developing algorithms that integrate computer vision with language, audio, and sensor data. Drives curation of multi-modal datasets and annotation pipelines, bringing innovative solutions to production for immersive applications. |
| Post-trainData |
| 8 |