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 |
|---|---|---|
| Business Support Engineer Meta is seeking a Business Support Engineer to play a pivotal role in supporting partners in bringing AI-driven solutions to their service offerings. The role involves architecting troubleshooting methodologies, leading AI-native technical strategy, building and optimizing AI architectures using LLMs, and providing 24/7 on-call support. The engineer will also influence product roadmaps, set technical communication standards, and manage cross-functional programs with a focus on continuous AI/ML learning. | AgentServe | 8 |
| Business Support Engineer This role focuses on building, launching, and optimizing AI solutions using LLMs and AI agents, integrating AI tools to improve workflows and support partners. It involves troubleshooting distributed systems, developing monitoring systems, and collaborating with cross-functional teams, with a strong emphasis on applying AI to enhance productivity and customer experiences. |
| Agent |
| 7 |
| Model Risk and Validation Lead Lead for Model Risk and Validation within Meta Business Services, focusing on risk measurement, diagnostics, and governance of automations and AI/ML systems across finance operations. Requires expertise in risk measurement, technical understanding of AI/ML, and cross-functional leadership to ensure compliance with policies and regulations. | Eval GatePost-train | 7 |
| Payroll Analyst, EMEA Meta is seeking a Payroll Analyst to support payroll operations across the EMEA region. This role involves accurate and timely processing of multi-country payroll, ensuring compliance with local statutory requirements, tax regulations, and labor laws. The analyst will partner with HR, Finance, and external vendors to deliver a seamless payroll experience and contribute to process improvements. | — | 0 |
| Network Engineer, Deployment & Support Meta is seeking a Network Deployment & Support Engineer to deploy and support its large-scale global network infrastructure, focusing on implementation, scaling, and troubleshooting. The role involves cross-functional collaboration, technical leadership, vendor management, and documentation, with a requirement for process improvement and automation. While the role is not directly building AI models, it emphasizes integrating AI tools for workflow optimization and adhering to responsible AI practices. | — | 0 |
| Network Engineer, Operations & Support Meta is seeking a Network Engineer, Operations & Support in Dublin, Ireland, to manage and support global production networks. The role involves incident response, escalation management, risk management, automation, data measurement, and operational leadership. Qualifications include extensive experience in network protocols, IT functional experience, vendor management, and basic knowledge of coding and data analysis. The role also mentions integrating AI tools for workflow optimization and adhering to ethical AI practices, but AI is not the core craft. | — | 0 |