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 Scientist - MSL FAIR Foundations Research Scientist role focused on developing and implementing novel evaluations for frontier AI systems, shaping research direction and model development. Requires strong ML research background, experience with LLM/multimodal evaluation, and publication record. | Eval GatePost-train | 9 |
| Research Engineer - MSL FAIR Foundations Research Engineer role focused on building and curating benchmarks and evaluation environments for advanced AI models (text, vision, audio). The role involves developing novel benchmarks, integrating existing ones, and creating scalable evaluation pipelines and tooling to directly impact research direction and model development. Requires strong ML engineering, Python, PyTorch, and experience with LLM/multimodal evaluation. |
| Eval Gate |
| 9 |
| Research Engineer - MSL FAIR Foundations Research Engineer role focused on building and curating benchmarks and evaluation environments for advanced AI models across text, vision, and audio. The role involves developing novel benchmarks, integrating existing ones, and creating scalable evaluation tooling to directly impact research direction and model development. Requires strong ML engineering and research skills, Python proficiency, experience with ML frameworks, and a track record of publications in relevant venues. | Eval GatePost-train | 9 |