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 |
|---|---|---|
| Security Engineer, Wearables (RL) Security Engineer for Meta's Reality Labs devices, focusing on securing wearables, VR, and consumer electronics. The role involves building and scaling security capabilities like cryptographic provisioning, vulnerability management, and manufacturing security operations. A key responsibility is architecting an agentic AI automation layer for vulnerability management and driving system design for SBOM and vulnerability lifecycle tooling to meet regulatory requirements. The work spans on-device firmware, backend infrastructure, and AI automation, using languages like Rust, C, C++, and Python. | Agent | 6 |
| Law Enforcement Signals Intelligence Specialist Meta is seeking a Signals Intelligence Specialist to analyze and disrupt criminal scammer networks. This role involves using existing data, developing analytic notebooks with AI, and creating dashboards to identify trends and mitigate harm. The specialist will also influence cross-functional teams and develop quantitative metrics. Qualifications include extensive experience in research, data analysis, threat intelligence, and understanding of AI/ML methods and programming languages like Python and SQL. Experience with AI tools for workflow optimization and responsible AI practices is also required. |
| — |
| 5 |
| Manufacturing Technical Manager Manufacturing Technical Manager responsible for end-to-end NPI manufacturing readiness, partnering with AME teams and manufacturing partners. Accountable for manufacturing line readiness, metrics, failure analysis, and corrective actions. Drives cost savings through Capex & MVA reduction. Requires BS/higher in Business, Engineering, or Supply Chain, with proven program/project management experience. Experience with international contract manufacturers, process development, and analytical problem-solving is essential. Familiarity with AI tools for workflow optimization and ethical AI practices is a plus. | — | 5 |
| Channel Operations Account Manager This role focuses on managing channel operations and partner relationships for consumer hardware products, with an emphasis on leveraging AI tools to improve efficiency, automation, and decision-making within supply chain operations. The role involves managing account health, coordinating fulfillment, leading CPFR processes, and identifying opportunities for AI-driven improvements. | — | 5 |
| Energy Operations Manager, Data Centers This role focuses on the operational energy management of Meta's global data center portfolio, ensuring reliable, cost-effective, and operationally sound energy supply. It involves managing utility interconnections, power procurement, on-site generation, and compliance. The role requires experience in energy operations, utility account management, and power systems. While not directly building AI, the role is expected to integrate and utilize AI tools for workflow optimization and demonstrate ongoing AI skill development and adherence to ethical AI practices. | — | 5 |
| Production Systems Engineer, AI Systems This role focuses on the hardware systems engineering for AI/HPC servers, specifically in the Release to Production (RTP) team. Responsibilities include end-to-end system validation, bring-up, deployment, issue investigation, and driving automation for new hardware systems in large-scale data centers. The role requires significant experience with hardware engineering, server systems, and networking, with a focus on ensuring the reliability and performance of AI hardware. | — | 5 |
| Software Engineer, Systems Staff Systems Engineer to design and build foundational software infrastructure for large-scale distributed systems, low-level platform software, and critical infrastructure components. Focus on reliability, performance, and scalability, partnering with product engineering, infrastructure, and operations. Drive technical strategy, establish best practices, and mentor engineers. Leverage AI tools to accelerate development and improve system reliability and observability. | — | 5 |
| Systems Integration Engineer Meta is seeking an experienced Systems Integration Engineer to lead the integration of new hardware platforms and infrastructure technologies into their data centers. This role involves system design for serviceability, validating new hardware tooling and automation for large-scale deployment, and troubleshooting systematic issues. The engineer will develop test plans for operational integration of AI/ML, compute, storage, and networking products, and possess knowledge of AI/ML system architecture to triage failures. The role requires collaboration with cross-functional teams and stakeholders. | Serve | 5 |
| Portfolio Strategy Analyst, Data Center Energy This role focuses on developing and maintaining portfolio-level energy strategy models for data centers, analyzing energy markets, and synthesizing data to inform infrastructure leadership. It involves identifying strategic risks and opportunities related to energy, partnering with other teams, and building analytical tools. The role requires experience in energy strategy, financial modeling, and energy markets, with a demonstrated ability to integrate AI tools to optimize workflows and develop AI skills. | — | 5 |
| Energy Analyst, New Transactions This role focuses on energy analysis for data centers, including rate structures, load forecasting, and procurement. While it involves integrating AI tools for workflow optimization and requires AI skill development, the core function is energy analysis and financial modeling within the enterprise domain, not direct AI/ML model development. | — | 5 |
| Product Cost Engineer, Meta Reality Labs Product Operations This role is for a Product Cost Engineer in Meta Reality Labs, focusing on managing the financial health of hardware products throughout their lifecycle. The role involves cross-functional collaboration to drive product budgets, supply chain continuity, and cost targets. A key aspect is influencing product architecture through trade-off analysis and cost reduction opportunities. The role requires experience in product cost management, operations, and supply chain, with a demonstrated ability to integrate AI tools to optimize workflows and drive measurable impact, including adherence to ethical AI practices. | — | 5 |
| NPI Operations Program Manager The NPI Operations Program Manager on the AI Devices team drives consumer electronics from development to mass production, bridging core product engineering teams with various functional organizations and external partners. The role focuses on program execution, ensuring engineering trade-offs, manufacturing constraints, and system dependencies are understood and resolved. While the role involves integrating AI tools and adhering to AI practices, its core function is operations program management for AI-powered consumer electronics, not direct AI/ML model development. | — | 5 |
| Display and Optics Supplier Quality Engineer This role focuses on ensuring the quality of display and optical components for Meta's consumer hardware products (VR, AR, MR). While the role leverages AI tools and requires AI skill development, its core function is supplier quality engineering within the hardware domain, not the direct development or research of AI models or systems. | — | 5 |
| Performance & Capacity Engineer - Planning Optimization Meta is looking for a Performance & Capacity Engineer to optimize site-wide performance and capacity across all Meta products and physical infrastructure. This role involves building and optimizing capacity planning processes and tools, working cross-functionally with engineering and business teams, and informing strategic decisions at the executive level. The engineer will design and build software-driven solutions, connect business strategy with technical execution, and partner with various teams including Finance and Production Engineering. Experience with AI tools for workflow optimization and responsible AI practices is required. | — | 5 |
| Reality Labs Digital Accounting Manager This role is for a Digital Accounting Manager within Meta's Reality Labs division, focusing on financial accounting for digital products like VR games and immersive content. The role involves ensuring accurate financial reporting according to US GAAP, managing month-end close processes, and partnering with various teams. A key aspect is identifying and piloting AI-driven solutions to automate and improve accounting processes, requiring the candidate to have experience integrating AI tools, developing accounting policies for new products, and understanding complex accounting scenarios. The role also emphasizes skills in prompt engineering, agent orchestration, and ethical AI practices. | — | 5 |
| Hardware Systems Engineer Meta is seeking a Hardware Systems Engineer to work on the end-to-end system validation strategy for AI/HPC hardware systems in datacenter applications. This role involves leading the bring-up, validation, and deployment of cutting-edge hardware systems, troubleshooting complex failures, and driving automation efforts. The ideal candidate will have 8+ years of experience in hardware/software engineering related to AI Silicon, GPUs, TPUs, or AI servers, with expertise in areas like ASIC development, system validation, and debugging. | — | 5 |
| Accounting Manager, Intercompany Accounting Manager role focused on intercompany operations, leveraging AI and automation tools to improve efficiency, accuracy, and compliance. Requires expertise in intercompany accounting, US GAAP, and multi-entity consolidation, with a strong emphasis on integrating AI for workflow optimization and responsible AI practices. | — | 5 |
| Technical Program Manager, Trust Security This role is for a Technical Program Manager on Meta's Trust & Security team, focusing on defining, planning, and executing security programs to protect Meta's platforms and users. The role involves guiding cross-functional teams through complex security initiatives, managing schedules, identifying risks, and driving programs from concept to delivery. While the role is not directly building AI models, it requires experience integrating AI tools to optimize workflows and drive measurable impact, as well as staying current with emerging AI technologies like prompt engineering and agent orchestration. The role also emphasizes adherence to responsible AI practices. | — | 5 |
| Network Engineer, Foundation & Support Network Engineer role focused on automating and optimizing network deployment processes for AI/ML applications, leveraging AI-assisted tools for software development and workflow enhancement. | — | 5 |
| Network Engineer, Foundation Services Automation This role focuses on automating network operations for Meta's large-scale network infrastructure, which supports AI/ML applications. The engineer will integrate detection, triaging, and repair into network pipelines, improve efficiency through automation, and develop automated methods for network events. While the role leverages AI-assisted tools for development and workflow optimization, its core craft is network engineering and automation, not building AI models themselves. | — | 5 |
| People Compliance Program Manager This role is for a People Compliance Program Manager at Meta, focusing on immigration compliance and broader people risk. The role involves driving strategy and execution for compliance projects, working with complex data, and collaborating across teams. While the role uses AI tools to streamline workflows and requires understanding of ethical AI practices, its core function is not building AI models but managing compliance programs within an enterprise context. | — | 5 |
| Investigations Analyst, Child Safety This role focuses on investigating and mitigating child safety threats on Meta platforms, leveraging subject matter expertise and analytical skills. While the role requires staying current with AI technologies and integrating AI tools to optimize workflows, its core function is not the direct development or deployment of AI models but rather the application of investigative and analytical expertise to ensure user safety, particularly for minors and vulnerable populations. The role involves analyzing data, identifying threats, and collaborating with various teams to improve detection and mitigation strategies, with a strong emphasis on ethical AI practices. | — | 5 |
| Data Scientist Meta is seeking a Data Scientist to join their Infrastructure Data Centers team. The role involves partnering with stakeholders to translate data into value, developing analytics programs for operational efficiency, conducting strategic analysis, measuring ML models, and working with software developers on analytical solutions. The ideal candidate will have experience driving outcomes in evolving environments and a proven track record of delivering analytics programs with measurable business impact. Responsibilities include defining problems, analyzing impacts, developing solutions, designing statistical models, and utilizing expertise in statistics, ML, optimization, and automation. The role also requires educating stakeholders, recommending process improvements, and mentoring team members. | Ship | 5 |
| Contracts Manager, GWS — Enterprise Contracts & Supplier Management This role is for a Contracts Manager who will support the Global Workplace Services (GWS) category. The primary focus is on drafting, negotiating, and managing contracts. A key aspect of the role is leveraging AI tools and technologies to improve contract workflows, analysis, and decision-making, including building and optimizing AI-enabled workflows and demonstrating ongoing AI skill development. | — | 5 |
| System Specialist - Meta Robotics Studio Meta is seeking a System Specialist for their Robotics Studio to own end-to-end hardware test development, integration, and execution on complex robotic systems. This role involves architecting robotic systems, defining requirements, leading proof-of-concept projects, and driving cross-functional collaboration. The position requires extensive experience in systems engineering, robotics platforms (ROS/ROS2), Python/C++, and integrating AI tools for workflow optimization, with a focus on device validation and reliability testing. | — | 5 |
| Technical Program Manager, MTIA Software This role is for a Technical Program Manager (TPM) focused on managing software and hardware programs related to AI Accelerators and large-scale AI clusters. The TPM will work with cross-functional teams to enable AI applications and use cases, focusing on requirements, middleware, software design, and deployment of AI training and inference workloads. The role involves identifying problems, developing solutions, troubleshooting, creating roadmaps, defining milestones, driving execution, and communicating with stakeholders, particularly with Software Development teams in Infrastructure (e.g., PyTorch) and hardware-specific software teams. | Serve | 5 |
| Performance & Capacity Engineering - Capacity Planning Optimization Meta is seeking a Performance & Capacity Engineer to optimize site-wide performance and capacity planning for Meta's products and infrastructure. This role involves building software and mathematical optimization models to manage capacity, power, and cost, with a focus on strategic-level impact and cross-functional collaboration. The role requires experience with optimization algorithms, LP solvers, distributed systems, and integrating AI tools for workflow optimization. | — | 5 |
| Systems Integration Engineer Meta is seeking a Systems Integration Engineer to lead the integration of new hardware platforms and infrastructure technologies into their data centers. This role involves developing test plans for AI/ML hardware, compute, storage, and networking products, and ensuring operational readiness at scale. The engineer will collaborate with cross-functional teams to validate tooling, influence hardware architecture, and manage the lifecycle of new hardware. | — | 5 |
| Systems Integration Engineer Meta is seeking a Systems Integration Engineer to lead the integration of new hardware platforms and infrastructure technologies into their data centers. This role involves system design for serviceability, validating hardware tooling and automation for large-scale deployment, and troubleshooting systematic issues. The candidate will develop test plans for operational integration of AI/ML, compute, storage, and networking products, and possess knowledge of AI/ML system architecture to triage failures. The role requires collaboration with cross-functional teams and influencing stakeholders on infrastructure tooling support for Meta-designed hardware. | Serve | 5 |
| Production Engineer (University Grad) Production Engineers (PEs) at Meta are specialized software engineers who develop the underlying infrastructure for all of Meta's products and services, forming the backbone of every major engineering effort that keeps our platforms running smoothly and scaling efficiently. PEs work across Meta’s product and infrastructure teams to ensure our services are reliable, performant, and capable of supporting billions of users. This means writing high‑quality code, solving complex problems in live production, and tackling challenges that impact over 2 billion people worldwide. | — | 5 |
| Performance & Capacity Engineer - Capacity Planning Optimization (Leadership) Meta is seeking a leader for their Capacity Planning Optimization Engineering team to design and execute infrastructure capacity planning processes and tools across all of Meta. This hands-on leadership role involves interfacing with executive leadership, designing and contributing to planning software systems, and optimizing capacity plans at a strategic company level. The role requires connecting business strategy with software-driven modeling of infrastructure considerations, partnering across technical and business organizations, and leading engineers to build effective technical and process solutions. While not a pure software engineering role, it involves designing and contributing to planning software systems. The role also emphasizes integrating AI tools for workflow optimization and responsible AI practices. | Serve | 5 |
| Security Analyst Investigator - Youth Safety Security Analyst Investigator focused on Youth Safety, investigating threat actors, advancing investigative methods, and automating processes using tooling and innovative approaches. The role involves analyzing data, identifying trends, and mitigating harm on Meta's platforms, with a specific focus on child sexual abuse and exploitation. Experience with AI tools and ethical AI practices is mentioned, but the core function is security investigation and threat mitigation, not direct AI/ML model development. | — | 5 |
| DFX Engineer This role focuses on Design for Manufacturing (DFM) and New Product Introduction (NPI) for Meta's hardware devices, ensuring manufacturability, quality, and cost-efficiency. While the role involves integrating and optimizing workflows using AI tools and developing AI skills, its core function is not building AI models or systems, but rather applying AI as a tool to improve manufacturing processes for consumer hardware. | — | 5 |
| Security Engineer, Investigations - i3E Security Engineer role focused on investigating and mitigating threats across Meta's applications. The role involves proactive threat hunting, analyzing large datasets, automating investigative processes with tooling, and implementing AI-driven solutions for detection, enforcement, and investigation. Requires experience in cybersecurity, data analysis, scripting languages, and demonstrated AI skill development, including prompt engineering and agent orchestration, with a focus on ethical AI practices. | Agent | 5 |
| Industrial Designer Meta's Industrial Design team is seeking an experienced Industrial Designer to design and develop category-defining consumer electronics or wearable tech products. The role involves combining usability, aesthetics, and technical insight to solve complex problems, navigating cross-functional teams, and contributing concepts across multiple projects. The designer will own end-to-end design direction from concept through mass production, leading cross-functional tradeoffs and mentoring junior designers. A key aspect of this role is the demonstrated ability to integrate AI tools to optimize workflows and drive measurable impact, while adhering to responsible and ethical AI practices and developing ongoing AI skills. | — | 5 |
| Security Engineer Investigator, Integrity Investigations, Intelligence, and Events Security Engineer Investigator role focused on protecting users from various threats by investigating sophisticated actors, advancing investigative methods, and automating processes using AI tools. The role involves analyzing large datasets, identifying threats, and implementing enforcement strategies. Requires strong cybersecurity and data analysis experience, with a demonstrated ability to integrate and apply AI technologies for workflow optimization and impact. | Agent | 5 |
| Hardware Electrical Engineer - Research Hardware Electrical Engineer role focused on designing, developing, and integrating electrical systems for consumer hardware and infrastructure. The role involves schematic design, board layout, hardware bring-up, debugging, and collaboration with cross-functional teams. While not directly building AI models, the engineer is expected to integrate AI tools into workflows, demonstrate ongoing AI skill development, and adhere to ethical AI practices, indicating an AI-adjacent function within a mature AI company. | — | 5 |
| Supply Chain Lead, Large Clusters This role focuses on the supply chain and engineering of large AI infrastructure clusters, ensuring timely and sufficient delivery of hardware. It involves coordinating cross-functional teams, developing delivery strategies, managing risks, and integrating AI tools to optimize workflows. While the role supports AI infrastructure and uses AI tools, its core function is supply chain management, not direct AI/ML model development. | — | 5 |
| System Safety Engineer, Humanoid Robotics System Safety Engineer for humanoid robotics, focusing on ensuring safety throughout the lifecycle, defining safety concepts, managing requirements, and ensuring compliance with safety standards, including those related to AI and machine learning in robotic systems. | Ship | 5 |
| Product Visualization Specialist- Robotics This role focuses on creating photorealistic visual representations of consumer hardware products using advanced rendering and 3D skills, with an emphasis on integrating and optimizing workflows with AI tools. The specialist will partner with design and marketing teams to produce high-quality imagery and animations, highlighting product features and brand identity. Experience with AI tools like Figma Weave, Leonardo, and ongoing AI skill development in areas like prompt engineering and agent orchestration is required, alongside a strong understanding of ethical AI practices. | — | 5 |
| 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, Deployment & Support This role is for a Network Engineer focused on deploying and supporting the network infrastructure for AI workloads. While the role leverages AI tools and requires understanding of AI practices, its core function is network engineering, not building AI models or systems. The primary focus is on scaling and optimizing the network that supports AI, placing it in the 'Serve' stage for the network infrastructure itself. | — | 5 |
| Strategic Sourcing and Procurement Operation Manager Meta is seeking an experienced Sourcing and Procurement Operation Manager to manage procurement for its robotics program. This role involves orchestrating end-to-end procurement operations, supplier onboarding, contract management, and vendor engagement to support rapid robotics innovation while ensuring compliance and cost optimization. The role will leverage AI tools to automate processes and optimize workflows, requiring demonstrated AI skill development and experience with ethical AI practices. | — | 5 |
| Electrical Engineer - Wearables Electrical Engineer for Wearables at Meta, focusing on designing, developing, and integrating electrical systems for consumer hardware. Responsibilities include schematic design, board layout, hardware bring-up, debugging, and collaborating with cross-functional teams. The role requires experience with high-volume product delivery, complex electrical systems, and integrating AI tools to optimize workflows. Familiarity with specific architectures (Qualcomm SoC), high-speed signaling, and ultra-low-power wearable design is expected. Experience with ethical AI practices and ongoing AI skill development is also mentioned. | — | 5 |
| Infrastructure Engineer, Automation and Tooling, Fullstack (Robotics) Infrastructure Engineer focused on building fullstack tools for Robotics automation in data centers, with an emphasis on integrating AI tools to optimize workflows and drive efficiency. | Agent | 5 |
| Hardware Electrical Engineer Hardware Electrical Engineer role focused on designing, developing, and integrating electrical systems for consumer hardware and large-scale infrastructure. The role involves schematic design, board layout, hardware bring-up, debugging, and collaboration with cross-functional teams. A key aspect is the demonstrated ability to integrate AI tools to optimize workflows and drive impact, along with adherence to ethical AI practices and ongoing AI skill development. | — | 5 |
| Critical Operations Manager This role is for a Critical Operations Manager in a data center environment. While the role involves integrating and developing skills in AI tools for workflow optimization, prompt engineering, and agent orchestration, the core responsibilities are focused on the safe and effective operations, maintenance, and modernization of the data center infrastructure. The role requires experience in managing teams and ensuring operational rigor, with a secondary emphasis on responsible AI practices. | — | 5 |
| Business Engineer Meta Business Engineer role focused on identifying new features, products, and business opportunities, enabling partner businesses to realize their potential. The role involves producing scalable code, architecting solutions, and collaborating with clients to understand challenges and meet business goals using Meta's platforms. It requires a strong understanding of Meta's products and technologies, with an emphasis on shipping production-level code, conducting code reviews, and building stakeholder relationships. The role also involves integrating AI tools to optimize workflows and adhering to ethical AI practices. | — | 5 |
| Industrial Designer Industrial Designer for Meta Reality Labs focusing on consumer electronics and wearable tech. Responsibilities include designing and developing products, combining usability, aesthetics, and technical insight. Qualifications include a Bachelor's degree, 5+ years of experience, strong communication and problem-solving skills, proficiency in 3D modeling software, and experience with mass production. The role requires demonstrated ability to integrate AI tools to optimize workflows, adhere to ethical AI practices, and develop ongoing AI skills. | — | 5 |
| Network Engineer, Optical Deployment This role focuses on engineering and deploying the network infrastructure that supports AI, rather than directly building AI models or systems. The candidate will lead technical strategy, architecture, and execution for network deployments, manage vendor relationships, and mentor team members. While the role involves integrating AI tools for workflow optimization and adhering to ethical AI practices, its core function is in network engineering for AI backbones. | — | 5 |