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 Business Agents This role focuses on building, launching, and optimizing AI solutions, specifically using LLMs and AI agents, for business partners. It involves end-to-end ownership from prototype to production, including fine-tuning and optimization of models, and integrating AI tools to improve workflows. The role also requires supporting partners with distributed systems and API troubleshooting, and contributing to the product's strategic roadmap. | AgentPost-train | 8 |
| Software Engineer, Principal Principal Software Engineer to drive technical strategy and engineering excellence across large-scale product systems, focusing on AI-first commercial monetization, consumer app experimentation, and AI for Business. The role involves defining architectural direction, leading technical initiatives, and setting standards for AI-native engineering practices. |
| Ship |
| 5 |
| Network Engineer, Optical Deployment This role is for an Optical Deployment Engineer responsible for the deployment and support of a large-scale global optical network, with a focus on the APAC region. The engineer will be involved in implementation and scaling, adapting to technical requirements and evolving architectures. Key responsibilities include deploying, configuring, and supporting the optical network, creating design packages, generating implementation plans, collaborating with vendors, reviewing acceptance documents, providing technical expertise, planning network migrations, and working with cross-functional teams. The role also involves contributing to documentation, automation, and processes, and potentially some travel. Qualifications include a relevant Bachelor's degree or equivalent experience, hands-on experience with optical network deployment, knowledge of optical theory and transport technologies, experience with field work in various environments, and proficiency with optical test equipment. The role also requires experience integrating AI tools for workflow optimization, adhering to ethical AI practices, and ongoing AI skill development, along with coding knowledge (e.g., Python) for automation. Familiarity with network protocols and a global team environment is also expected. | — | 0 |
| Data Center Development Manager Meta is seeking an experienced Development Manager to join their Data Center Site Development team. This role involves evaluating and selecting sites for data centers, managing the development process, ensuring regulatory compliance, negotiating utility infrastructure, and coordinating with internal and external stakeholders. The ideal candidate will have strong analytical, strategic, and project management skills to navigate complex projects and drive desired outcomes. | — | 0 |
| Manufacturing Design Engineer, Optical This role is for a Manufacturing Design Engineer focused on optical and mechanical components for AR/VR products. The engineer will drive manufacturing process innovation, select suppliers, develop manufacturing processes, and collaborate with cross-functional teams. While the role mentions AI skills and tools for workflow optimization, the core responsibilities are in traditional manufacturing engineering, not AI/ML model development. | — | 0 |
| Network Engineer, Foundation and Support (Edge/Backbone Infrastructure Design) Meta is seeking a Network Engineer to design and deliver network infrastructure solutions for their global Edge/Backbone network and compute presence. This role involves supporting capacity expansion, developing infrastructure design requirements for space, power, cooling, and connectivity, and driving execution within global colocation spaces. The position is execution and delivery focused for the APAC region. | — | 0 |
| Network Engineer, Foundation & Support Meta is looking for a Network Engineer to support their Edge and Network Services (ENS) Foundation NetOps team. The role involves managing hyperscale data center structured cabling, fiber connectivity, and IP networking to support field repair services. Responsibilities include incident response, change management, operations improvement, collaboration with internal and external teams, risk management, data assurance, and automation opportunities. The ideal candidate will have extensive experience in large-scale network operations and infrastructure. | — | 0 |
| Data Center Production Operations Engineer This role is for a Data Center Production Operations Engineer responsible for maintaining server hardware and Linux systems in a large-scale data center environment. Key responsibilities include ticket resolution, root cause analysis, cross-functional collaboration, hardware repair, OS management, tooling and automation, networking, and technical project management. The role requires hands-on technical skills, problem-solving abilities, and experience with scripting and data analysis to ensure platform health and optimize efficiency. | — | 0 |