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 |
|---|---|---|
| Solutions Architect, Scaled Operations AI Accelerator Team This role focuses on designing, developing, and deploying AI-powered automation solutions to transform operational processes within Meta's Scaled Operations organization. The Solutions Architect will analyze and redesign workflows, architect end-to-end automation solutions, manage projects, and drive change management, with a strong emphasis on integrating AI tools and adhering to ethical AI practices. Experience with agent orchestration and prompt engineering is highlighted. | Agent | 5 |
| Software Engineer (Technical Leadership) Experienced full-stack software engineer to build and improve large-scale consumer products and features for Facebook, driving technical direction, long-term vision, and cross-functional collaboration. The role requires integrating AI tools to optimize workflows and adhering to ethical AI practices. | — |
| 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 collaboration with cross-functional teams throughout the product lifecycle, from prototyping to deployment. A key aspect is the demonstrated ability to integrate AI tools to optimize workflows and adhere to ethical AI practices, alongside ongoing AI skill development. | — | 5 |
| Product Design Engineer Product Design Engineer with 6+ years of experience in mechanical design, focusing on shipping high-volume commercial products and complex electromechanical assemblies. Responsibilities include driving technical solutions from concept to mass production, providing mentorship, and influencing program direction. The role involves integrating AI tools to optimize workflows and adhering to ethical AI practices. | — | 5 |
| Industrial Designer - RL Hardware Industrial Designer role focused on RL Hardware, requiring experience in consumer electronics and wearable tech. The role involves designing and developing products, combining usability, aesthetics, and technical insight. A key aspect is the demonstrated ability to integrate AI tools to optimize workflows, adhere to ethical AI practices, and develop AI skills like prompt engineering and agent orchestration. | — | 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 full product lifecycle collaboration, schematic design, board layout, hardware bring-up, and debugging. A key aspect is the demonstrated ability to integrate AI tools to optimize workflows and drive measurable impact, along with ongoing AI skill development in areas like prompt engineering and agent orchestration, and adherence to ethical AI practices. | — | 5 |
| Software Engineer, Databases (Technical Leadership) Software Engineer specializing in database internals to drive the technical direction of MySQL infrastructure, including storage and replication layers. The role involves architecting enhancements for AI workloads, solving complex database challenges, and leveraging AI tooling to optimize performance and development workflows. This position requires deep database expertise and leadership in defining multi-year technical strategy. | — | 5 |
| Area Project Controls Lead, Hyperion This role is for an Area Project Controls Lead for an AI enabling infrastructure campus. The lead will oversee cost controls, financial reporting, and commercial management, leading a team of analysts. The role requires strong leadership, communication, and analytical skills, with experience in construction project controls and integrating AI tools to optimize workflows and adhere to ethical AI practices. | — | 5 |
| Network Engineer, Deployment & Support Network Engineer responsible for the deployment and support of production networks, including Edge, Backbone, Optical, and Datacenter networks. The role involves participating in the design, engineering, and implementation of large-scale data center networks, researching and deploying new technologies, and optimizing deployments. It also requires close collaboration with cross-functional teams and vendors, developing automation and tooling, and performing site visits. A key aspect of the role is leveraging AI tools to drive efficiencies, improve reliability, quality, and speed of deployments, and adhering to responsible AI practices. | — | 5 |
| Network Engineer, Foundation & Support Network Engineer role focused on data center infrastructure, cable design, and fiber connectivity. The role involves automation and coding experience to improve data center operations and processes. It also requires integrating AI tools to optimize workflows and adhering to ethical AI practices. | — | 5 |
| Solutions Architect Solutions Architect for Meta Reality Labs Sales Operations, focusing on designing and deploying AI-enhanced sales tools and systems. The role involves leveraging AI/ML to augment business intelligence, automate processes, and generate predictive insights to drive business growth and operational efficiency. Responsibilities include architecting scalable solutions, driving technical strategy, leading cross-functional programs, and championing AI-native approaches for sales processes and customer experiences, ensuring responsible AI adoption and integrating tools like prompt engineering and agent orchestration. | Agent | 5 |
| Mechanical Engineer: Electronics Packaging and Sensor Integration Mechanical Design Engineer focused on electronics integration and packaging for robotics, with experience in AI tool integration for workflow optimization and ethical AI practices. | — | 5 |
| Strategic Supply Chain Risk and Resilience Lead This role focuses on supply chain risk and resilience for infrastructure, requiring experience in risk assessment, network optimization, and cross-functional collaboration. While the role involves leveraging AI tools for optimization and adhering to ethical AI practices, its core function is not AI/ML development but rather supply chain management. | — | 5 |
| Operations Program Manager (Core Technologies) Operations Program Manager for Core Technologies in Reality Labs, responsible for end-to-end manufacturing operations at suppliers, from early architecture through launch. This role requires close collaboration with R&D, Engineering, Advanced Manufacturing & Test, Business Development, Sourcing, and external supplier teams. The role involves driving supplier readiness, leading bring-up and integration activities, managing ramp availability, and ensuring successful product launches. The candidate will assess and communicate program risks, participate in Engineering design discussions, and act as the Operations owner for partner decisions. Experience with consumer electronics manufacturing, semiconductor processing, and AI tools for workflow optimization is required. | — | 5 |
| Area Schedule Lead, Project Hyperion This role leads schedule operations for a large-scale AI enabling infrastructure campus. It involves managing integrated master schedules, overseeing a team of schedulers, forecasting and mitigating schedule risks, and ensuring commercial accountability. The role requires expertise in project scheduling tools and practices, leadership skills, and experience with AI-enabled scheduling and ethical AI practices. | — | 5 |
| Network Engineer, Foundation & Support Network Engineer role focused on data center infrastructure, cable and fiber connectivity, and network deployment. The role involves using coding and automation to improve data center operations and processes, with a specific emphasis on integrating AI tools for workflow optimization and demonstrating ongoing AI skill development. | — | 5 |
| NPI Program Manager Program Manager for New Product Introduction (NPI) of AI, compute, storage, and network hardware in Meta's data center infrastructure. The role focuses on managing the supply chain organization to ensure on-time and on-quality delivery of hardware, involving cross-functional collaboration with engineering, manufacturing, and external partners. Responsibilities include schedule management, readiness, risk management, and communication. The role also involves integrating AI tools to optimize workflows and adhering to ethical AI practices. | — | 5 |
| Security Engineer Meta is seeking a Senior Security Engineer to lead cross-organizational technical teams in solving complex security problems. The role involves driving engineering excellence, managing security risks, and integrating AI tools to optimize workflows while adhering to ethical AI practices. This position requires extensive experience in system design, threat modeling, risk assessment, and building engineered controls. | — | 5 |
| Sensor Hardware Integration Engineer This role focuses on the electrical engineering and integration of sensor hardware for Meta's next-generation smart glasses. The engineer will be responsible for the end-to-end product development lifecycle of sensor solutions, from prototyping to mass production, collaborating with cross-functional teams and external partners. While the role mentions integrating AI tools for workflow optimization and adhering to ethical AI practices, the core function is hardware engineering, not AI/ML model development. | — | 5 |
| Hardware Research Engineer: Meta Robotics Studio Meta Robotics Studio is seeking a Research Engineer to tackle challenging mechanical/electrical design problems for robotics, balancing ergonomics, performance, reliability, and usability while maintaining safety and quality standards. The role involves concept development, analytical modeling, prototype design, construction, and testing, with potential research into Electro-mechanics, Sensor and Communication, and/or Planning and Control. The engineer will also integrate AI tools to optimize workflows and adhere to ethical AI practices. | — | 5 |
| Software Engineer (Technical Leadership) This role is for a Software Engineer (Technical Leadership) on the Software Engineering (Infrastructure) team at Meta. The team builds large distributed components for Facebook, handling data storage, cluster coordination, and runtime environments. The role involves driving technical direction, communicating complex systems, assessing new technologies, leading long-term technical visions, and mentoring engineers. While the core function is infrastructure engineering, the role requires demonstrated ability to integrate AI tools to optimize workflows, implement responsible AI practices, and develop ongoing AI skills like prompt engineering and agent orchestration. | — | 5 |
| Data Engineer, Product Analytics Data Engineer role focused on designing, building, and optimizing large-scale data solutions and datasets for Meta's family of applications. The role involves collaborating with various teams to improve user experience and business strategy through data, with a strong emphasis on data architecture, modeling, ETL, and ensuring data quality and security. While the role mentions integrating AI tools and responsible AI practices, its core function is data engineering, not direct AI/ML model development. | — | 5 |
| Data Engineer, Product Analytics Data Engineer at Meta responsible for designing and building scalable data solutions across Meta's family of applications to optimize growth, strategy, and user experience. The role involves collaborating with software engineering, data science, and product management teams, managing data warehouse plans, implementing logging, designing data models and ETL processes, and ensuring data security and quality. The role also emphasizes using data to shape product development and communicate data-driven stories. While not core AI development, the role requires integrating AI tools to optimize workflows and demonstrating ongoing AI skill development. | — | 5 |
| Production Engineer 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. The role involves owning back-end services, leading engineering teams, writing and reviewing code, debugging complex systems, and participating in on-call rotations. Qualifications include extensive experience in *nix, network fundamentals, coding in standard languages, configuring infrastructure applications, and knowledge of web technologies. A demonstrated ability to integrate AI tools to optimize workflows and drive impact, along with experience in responsible AI practices and ongoing AI skill development, is also required. | — | 5 |
| Production Engineer 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. The role involves integrating AI tools to optimize workflows and adhering to responsible AI practices. | — | 5 |
| Production Engineering 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. The role involves owning back-end and front-end services, infrastructure components, core services, and large-scale database deployments. Qualifications include experience with web technologies, internet service architectures, capacity planning, infrastructure applications, coding in a standard language, and Unix/Linux fundamentals. A demonstrated ability to integrate AI tools to optimize workflows, implement ethical AI practices, and develop ongoing AI skills is also required. | — | 5 |
| Strategic Sourcing and Partnerships Manager, Silicon Meta is looking for a Strategic Sourcing and Partnerships Manager to focus on Application Processors (AP) and System-on-Chip (SoC) sourcing strategy for their consumer hardware products (wearables, AR, VR). The role involves developing sourcing strategies, managing supplier partnerships, leading cross-functional initiatives, and ensuring a resilient and cost-competitive silicon supply chain. The position requires extensive experience in strategic sourcing, supply chain management, and supplier relationship management within the consumer electronics industry. A key aspect of the role involves understanding and integrating AI tools and practices into supply chain operations, including ethical AI considerations, AI skill development, and optimizing workflows with AI. | — | 1 |
| Infrastructure Security Monitoring Engineer Meta is seeking an experienced engineer for its Infrastructure Security Monitoring team to build, implement, and support detections across its infrastructure. The role involves researching and developing new solutions to protect infrastructure and users, focusing on scalable detection, automation, and defense against various attacks. Responsibilities include iterating security posture, mitigating incidents, developing and scaling detection/response automation, evaluating security initiatives, and mentoring engineering teams. | — | 1 |
| Network Engineer, Operations & Support This role focuses on network engineering and operations for Meta's large-scale infrastructure, emphasizing efficiency, reliability, and risk management. While it involves integrating AI tools and developing AI skills to optimize workflows, the core craft is network operations and engineering, not AI/ML model development. | — | 1 |
| Music Operations Meta's Creative Audio team is seeking a Music Operations professional to manage the music pipeline, ensuring assets are processed, delivered, and available across Meta products. This role involves quality control, metadata management, contract handling, invoicing, and project tracking, with a strong emphasis on operational efficiency and collaboration across various internal teams. The role also requires familiarity with music industry operations and the ability to integrate AI tools to optimize workflows. | — | 1 |
| Data Center Lease Development Manager This role focuses on developing Meta's leased and colocation data center strategy, managing site selection, technical due diligence, commercial negotiations, and contract administration. The manager will work with internal teams and external stakeholders to find and execute lease options, including developing new business models for AI deployment in leased spaces. The role requires experience in complex negotiations, contract management, and staying informed about industry developments. While AI tools and skills are mentioned as a plus for optimizing workflows and development, the core function is data center lease development, not AI/ML model building. | — | 1 |
| Industrial Designer Meta is seeking an Industrial Designer to shape the future of consumer hardware across its portfolio of devices, including AR glasses, VR headsets, and wearable technology. The role involves leading creative and strategic direction for industrial design, influencing user experience, and operating at the intersection of design vision, engineering feasibility, and human-centered research. Responsibilities include defining design vision, leading concept development, establishing design principles, and collaborating with cross-functional teams. The role also involves mentoring designers, framing design problems, exploring novel fabrication techniques, and contributing to the evolution of design processes, including the integration of AI-assisted design workflows. Qualifications include extensive experience in industrial design for consumer electronics, a strong portfolio, proficiency in CAD tools, and experience with wearable devices. Notably, the role requires demonstrated ability in AI skill development, integrating AI-assisted design tools for concept exploration and workflow optimization, and adhering to ethical AI practices. | — | 1 |
| Procurement Operations Lead This role focuses on optimizing the Procure-to-Pay (P2P) lifecycle within Meta, driving automation and continuous improvement. While the role leverages AI tools and partners with technology teams to test AI-powered solutions, its core function is in procurement operations and process optimization, not in building or shipping AI models themselves. The role requires strong analytical and problem-solving skills, experience with procurement processes and systems, and the ability to manage stakeholders and drive change. | — | 1 |
| Edge Delivery Manager Meta's Edge Production Infra & Connectivity team is seeking an Edge Delivery Manager to support connectivity for Meta's product family. This role involves managing ISP partnerships, planning network implementations, and collaborating with internal teams to ensure high-performing network delivery. The manager will also identify opportunities for automation and tooling to improve efficiency and drive roadmaps with partners. | — | 1 |
| Mechanical Subject Matter Expert, Data Center Environmental Systems This role is for a Mechanical Subject Matter Expert in Data Center Environmental Systems at Meta. The primary focus is on the design, operation, and optimization of mechanical systems like cooling, water treatment, and HVAC. While the role mentions integrating AI tools for workflow optimization and adhering to ethical AI practices, the core responsibilities and required skills are centered around mechanical engineering and data center infrastructure, not AI/ML development. Therefore, it is not considered AI-related in terms of the core craft. | — | 1 |
| Commercial Sourcing Manager, Network Systems This role is for a Commercial Sourcing Manager focused on network systems and infrastructure for Meta's global operations. The role involves developing sourcing strategies, managing supplier relationships, contract negotiation, and cost modeling. While the role mentions integrating AI tools to optimize workflows and adhering to ethical AI practices, the core function is supply chain management for hardware, not the direct development or deployment of AI models or systems. | — | 1 |
| Product Design Engineer Meta is seeking a Product Design Engineer to lead the design and development of hardware systems for consumer electronics, data centers, advanced robotics, and more. This role involves owning mechanical architecture, solving complex technical problems, influencing technical strategy, and mentoring engineers. The ideal candidate will have extensive experience in mechanical design, a track record of delivering breakthrough products, and experience with the full product development lifecycle. While the core role is hardware engineering, there's an emphasis on integrating AI tools to optimize workflows and adhering to ethical AI practices. | — | 1 |
| Network Engineer, Foundation & Support Meta is looking for a Network Engineer to manage enterprise network services for their physical sites globally. This role involves planning, deploying, and operating network infrastructure, leading incident response, and using AIOps and automation to improve reliability and efficiency. The candidate will also collaborate with vendors and internal teams, and advise on network matters. | — | 1 |
| Data Center Site Selection Manager Meta is seeking an experienced Data Center Site Selection Manager to lead data center acquisition and lease contracting negotiations. The role involves performing technical due diligence, managing supplier relationships, conducting market analysis, and contributing to organizational strategy. While the core role is not AI development, the candidate is expected to integrate AI tools to optimize workflows, adhere to ethical AI practices, and demonstrate ongoing AI skill development. | — | 1 |
| Data Engineer, Analytics (Technical Leadership) Meta is seeking a Data Engineer with technical leadership experience to build and scale data foundations and analytics platforms. This role involves conceptualizing data architecture, creating ETL frameworks, designing data models, and collaborating with cross-functional teams to deliver data solutions that drive business impact. The role also requires experience with security, privacy, and governance, and influencing product decisions with data. | — | 1 |
| Network Engineer, Deployment & Support Meta is seeking a Network Engineer to deploy, configure, and manage production networks globally. This role involves working with various network technologies, troubleshooting protocols, and supporting network infrastructure. The position requires 4+ years of experience in large-scale network design and operation, with familiarity in scripting and automation. While the role is primarily network engineering, it also mentions integrating AI tools for workflow optimization and adhering to ethical AI practices. | — | 1 |
| ASIC Engineer, Design Verification Seeking an ASIC Design Verification Engineer for Meta's Infrastructure organization in Bangalore, India. The role involves verifying IP and SoC for data center applications, including AI/ML designs. Responsibilities include defining verification plans, developing testbenches using UVM, driving verification closure through simulation, formal methods, and emulation, and collaborating with cross-functional teams. Requires 8+ years of experience in SystemVerilog/UVM, with experience in AI/ML design verification and high-speed interfaces being a plus. | — | 0 |
| Security Delivery Manager Meta is seeking a Security Delivery Manager to oversee the execution of security programs across its product and infrastructure. This role involves translating security requirements into delivery plans, managing cross-functional workstreams (vulnerability remediation, security reviews, compliance controls, incident response), and ensuring timely, scaled delivery of security outcomes. The manager will partner with engineering, trust and safety, legal, and product teams, define roadmaps, resolve blockers, and report on key metrics. Experience with AI tools for workflow optimization, ethical AI practices, and AI skill development is also highlighted. | — | 0 |
| ASIC Engineer, Physical Design Meta is seeking an ASIC Engineer for Physical Design to lead the physical implementation of complex ASIC blocks, from floorplanning through signoff, for custom silicon powering infrastructure and consumer hardware. The role involves driving physical design strategy, defining methodologies, and collaborating with cross-functional teams to meet power, performance, and area targets at advanced process nodes. | — | 0 |
| ASIC Engineer, Physical Design Meta's silicon engineering team is building custom infrastructure silicon for AI, data center, and next-generation hardware platforms. This role focuses on ASIC Physical Design, driving implementation from floorplanning to tapeout, collaborating with RTL, verification, and package engineering teams to deliver high-performance, power-efficient silicon. | — | 0 |
| Product Quality Engineer This role is for a Product Quality Engineer on Meta's Hardware Engineering team, focusing on the manufacturing readiness and quality of next-generation AI/ML hardware, including compute and GPU platforms, from concept to mass production. The role involves driving manufacturing metrics, developing and validating test requirements, debugging hardware issues, and ensuring quality and reliability at hyperscale volumes. | — | 0 |
| Energy Analyst, Portfolio This role focuses on energy procurement, utility interconnection, and energy strategy for Meta's data centers. Responsibilities include analyzing energy markets, evaluating utility rates, developing financial models for energy costs and expenditures, supporting contract negotiations, tracking energy consumption and costs, and monitoring regulatory developments. The role also involves evaluating clean energy procurement opportunities and coordinating with utilities and internal finance partners. While the role mentions AI tooling and skill development, its core function is in energy analysis and procurement, not AI/ML model development. | — | 0 |
| Regional Logistics Operations Specialist This role is for a Regional Logistics Operations Specialist at Meta, focusing on managing logistics for data center and infrastructure facilities. The responsibilities include overseeing third-party providers, standardizing processes, ensuring inventory accuracy, and maintaining Sarbanes-Oxley compliance. The role involves partnering with cross-functional teams to optimize logistics workflows and manage hardware asset lifecycle. While the role mentions integrating AI tools and developing AI skills, its core function is logistics operations, not AI/ML development. | — | 0 |
| ASIC Implementation Engineer - Static Verification Meta is seeking an ASIC Implementation Engineer specializing in Static Verification for their Infrastructure organization. The role involves front-end implementation from RTL to netlist, including RTL Lint, CDC analysis, timing constraints, and synthesis for data center SoCs and IPs. Responsibilities include performing clock and reset domain crossing analysis, RTL Lint, DFT analysis, logic/physical synthesis, developing automation scripts, and collaborating with design, DV, and physical design teams. Qualifications include a relevant Bachelor's degree, experience with static verification tools, Lint, CDC/RDC, SOC integration, front-end ASIC flows, RTL design (SystemVerilog), and scripting languages (Perl/Python, TCL). | — | 0 |
| Battery Systems Engineer This role focuses on the electrical design, integration, and manufacturing support of battery packs for Meta's state-of-the-art devices. The engineer will collaborate with product teams to define requirements, work with vendors on development, and ensure smooth New Product Introduction processes. Responsibilities include developing electrical and interconnect architectures for Battery Management Systems, creating specifications, validation plans, and test fixtures. The role also involves failure analysis, root cause analysis, and supporting software integration. Experience with Li-ion battery pack design, Battery Management Systems, consumer electronics, PCB design, and programming languages like Python or C is required. The posting also mentions integrating AI tools to optimize workflows and ongoing AI skill development, but these are not the core craft of the role. | — | 0 |