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.
Currently tracking 125 active AI roles, up 55% versus the prior 4 weeks. Primary focus: Ship · Research.
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 |
|---|---|---|
| Research Scientist, AI & Systems Co-design (PhD) Research Scientist focused on co-designing AI hardware and software systems for datacenter scale, optimizing models, runtime, and hardware for performance and efficiency in Generative AI and Recommendations. The role involves exploration, prototyping, and assisting in productionization, with a strong emphasis on research publications and influencing future AI hardware roadmaps. | ServePretrain | 9 |
| Postdoctoral Researcher, AI and Systems Co-design Team Postdoctoral Researcher focused on AI hardware, software, and algorithms, aiming to advance AI infrastructure and address scalability bottlenecks. The role involves conducting state-of-the-art research, publishing in leading venues, and contributing to Meta's research product development. |
| Serve |
| 9 |
| Research Scientist, HW/SW Co-Design (PhD) Research Scientist focused on hardware-software co-design for custom AI accelerators at datacenter scale. This role involves optimizing AI models and kernels for Meta's silicon, building performance models, and influencing the hardware roadmap. The work spans exploration to assisting productization, with a strong emphasis on research publication. | ServePretrain | 9 |
| Research Scientist Intern, Multimodal Contextual AI (PhD) Research Scientist Intern focused on on-device contextual AI for AR devices, involving computer vision, audio interaction, and LLMs. The role requires building and characterizing experimental HW+SW systems on AR devices, developing embedded firmware, and collaborating across disciplines. Candidates should be pursuing a PhD and have experience with C/C++, Python, ML frameworks, and embedded systems. | Serve | 7 |