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 121 active AI roles, up 55% versus the prior 4 weeks. Primary focus: Ship · Research.
Meta currently has 136 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 (23%), 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 (108 roles), United Kingdom (9 roles), France (7 roles), Singapore (6 roles).
Job postings at Meta most frequently mention: Machine Learning, Large Language Models (LLMs), Robotics, Agentic Systems, Generative AI.
In the past 30 days, Meta has posted 67 new AI-related roles. That is a +103% change versus the prior 30 days (33 → 67).
| Title | Stage | AI score |
|---|---|---|
| UX Researcher, Qualitative UX Researcher focused on understanding user behavior and interactions with products, utilizing a variety of qualitative and quantitative research methods. The role involves collaborating with cross-functional teams to generate insights, evaluate designs, and contribute to product development. While not directly building AI, the role requires integrating AI tools into workflows, adhering to ethical AI practices, and developing AI skills. | — | 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. | — |
| Data Scientist, Product Analytics Data Scientist role focused on shaping people-facing and business-facing products across Meta's applications by leveraging rich data sets, analytical skills, and product intuition. The role involves collaborating with cross-functional teams, using data to identify and solve product development challenges, influencing product strategy, and driving impact through data-driven storytelling and recommendations. The role requires a strong foundation in analytics, statistical approaches, and experience with data querying and scripting languages, with an emphasis on integrating AI tools for workflow optimization and adhering to ethical AI practices. | — | 5 |
| Data Scientist, Product Analytics Data Scientist role focused on shaping people-facing and business-facing products across Meta's applications. The role involves using technical skills, analytical mindset, and product intuition on large datasets to identify and solve product development challenges, influence product strategy, and guide teams with data-driven insights. The role requires experience with AI tools for workflow optimization and adherence to ethical AI practices. | — | 5 |
| Data Scientist, Product Analytics Data Scientist role focused on shaping people-facing and business-facing products across Meta's family of applications. The role involves leveraging technical skills, analytical mindset, and product intuition on large datasets to define experiences, identify and solve product development challenges, and influence product strategy and investment decisions. Responsibilities include applying quantitative analysis, experimentation, and data mining to develop product strategies, measuring product success, defining opportunities for improvement, and partnering with cross-functional teams. The role requires experience with AI tools for workflow optimization and adherence to responsible AI practices. | — | 5 |
| Product Manager, Machine Learning Product Manager for Meta's Ad supply personalization on FB App, focusing on predicting user engagement and optimizing ad value using ML-based personalization, ranking, or recommendation services within ad-tech. | — | 5 |
| Data Engineer, Product Analytics This role is for a Data Engineer focused on building and optimizing large-scale data solutions and models to support product development and user experience across Meta's applications. The role involves data architecture, ETL, data modeling, logging, and influencing product decisions through data-driven insights. While not directly building AI models, the role is expected to integrate AI tools to optimize workflows and adhere to ethical AI practices. | — | 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 |
| Data Science Director Meta is seeking a Data Science Director to lead analytics efforts and drive data-informed decisions for their future platforms. The role involves people leadership, product leadership, guiding teams with data and insights, and communicating data-driven stories to influence partners. Responsibilities include leading and growing a distributed team of data scientists, applying quantitative analysis to shape product strategies, and contributing to technical vision. Qualifications include extensive experience in managing analytics teams, influencing strategy, and integrating AI tools responsibly. | — | 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 |
| 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 team brings together diverse levels of experience and backgrounds. Working alongside some of the best engineers in the industry, you’ll contribute to code and systems that go into production and are used by millions every day. In Production Engineering at Meta, we navigate uncharted waters daily — solving problems at a scale few others face. | — | 5 |
| Production Engineer Production Engineers 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. This role involves writing high-quality code, solving complex problems in live production, and tackling challenges that impact over 2 billion people worldwide. The role requires integrating AI tools to optimize workflows and adhering to responsible AI practices. | — | 5 |
| Software Engineer (Leadership) - Machine Learning Seeking a principal engineer to lead teams in building cutting-edge products, manage complex technical problems, and drive technical strategy and roadmap for large cross-company efforts. The role involves integrating AI tools to optimize workflows, implementing responsible AI practices, and staying current with emerging AI technologies. | Ship | 5 |
| Technical Program Manager This role is for a Technical Program Manager at Meta, focusing on driving technical strategy and execution for company-wide platforms and services. The TPM will define goals, roadmaps, and functional requirements, collaborating with engineering and product teams to deliver measurable results. While the role involves integrating and developing skills in AI tools, it is not a core AI/ML craft role but rather a product management role that leverages AI. | — | 5 |
| Product Manager (Leadership) Product Management Leader to innovate and execute product initiatives across Meta's consumer products, leading teams through ideation, development, and launch. Requires experience in building 0-1 products, platform/ecosystem products, or marketplaces, and integrating AI tools responsibly to drive impact. | — | 5 |
| Product Management, Director Director of Product Management at Meta, leading teams to ideate, develop, and launch innovative consumer products. This role involves managing product leaders, defining product strategy, and ensuring successful product execution. The position requires experience in building 0-1 products and integrating AI tools responsibly to improve workflows and user satisfaction, with a focus on ethical AI practices and continuous AI skill development. | — | 5 |
| Scaled Business Growth This role focuses on driving business growth for Meta's products through data-driven marketing strategies. While it heavily leverages AI tools for various marketing functions like audience research, personalization, and content development, the core responsibility is marketing strategy and execution, not the direct building or research of AI models themselves. The role involves analyzing data, designing programs, leading experiments, and working with cross-functional teams to achieve business outcomes. The emphasis on AI is on its application as a tool to enhance marketing efforts and drive efficiency/impact. | — | 3 |
| Client Partner, Apps & Games Client Partner role focused on building business partnerships within the gaming and apps advertiser space. The role requires sales and analytical skills to drive revenue growth and advertiser satisfaction. While not directly building AI models, the role emphasizes understanding and integrating AI tools to optimize workflows and adhere to ethical AI practices. | — | 2 |
| Marketing Science Partner, India This role focuses on leveraging Meta's data science and measurement tools to improve business outcomes for advertisers. While it involves partnering with clients, designing studies, and delivering insights, the core function is marketing measurement and analysis, not direct AI/ML model development or deployment. The role mentions integrating AI tools and responsible AI practices, but these are presented as ways to optimize existing workflows rather than the primary focus of the role itself. | — | 2 |
| Product Policy Manager This role provides policy guidance to product and engineering teams on emerging technologies, focusing on risk assessment, compliance, and ethical AI practices. It requires expertise in technology policy and regulatory landscapes, with a strong emphasis on advising on AI technologies and integrating AI tools into workflows. | — | 2 |
| Client Solutions Manager Client Solutions Manager for Meta's Global Business Group, responsible for developing and implementing strategies to increase impact for top advertisers. This role involves building client relationships, leveraging analytical skills, and becoming a trusted consultant in media planning, strategy, and measurement. Success requires data and analytical skills to translate business objectives into data-driven consultative sales solutions, with a demonstrated ability to integrate AI tools to optimize workflows and drive measurable impact. | — | 2 |
| Business Development Manager Meta is seeking a Business Development Manager to lead strategic partnerships for AI infrastructure, focusing on evaluating, structuring, and advising on infrastructure capacity deals, energy partnerships, and capital-intensive constructs. The role requires deep expertise in energy, data center economics, and project finance to support the VP of Partnerships and leadership. | — | 2 |
| Business Development Manager Meta is seeking an experienced Business Development Manager to identify, structure, and execute strategic partnerships that drive growth and monetization across Meta's products and platforms. The role involves working at the intersection of business strategy, product development, and external partner relationships, requiring deep expertise in deal-making, market analysis, and cross-functional leadership. The candidate will define and execute partnership strategies, lead end-to-end deal processes, and collaborate with various internal teams. Qualifications include 8+ years of experience in business development or related fields, a strong track record of closing complex agreements, and experience developing business strategies in fast-moving environments. The role also requires demonstrated ability to integrate AI tools to optimize workflows and drive impact, ongoing AI skill development, and experience with responsible AI practices. | — | 2 |
| Contact Center Efficiency Operations Lead This role focuses on driving cost reduction and operational efficiency in a contact center environment through data-driven process improvements, optimization of time-based metrics, and elimination of waste. The lead will analyze metrics, implement strategies to reduce operational expenses, identify automation opportunities, and optimize workforce planning. While the role mentions integrating AI tools and developing AI skills, its core function is operational efficiency and cost reduction within a customer service context, not the direct development or research of AI models. | — | 2 |
| Operations Platform Engineer Meta is looking for an Operations Platform Engineer to build and evolve the robotics test and data infrastructure for motor validation and experimentation. This role focuses on creating robust software infrastructure for motor control, testing, telemetry, and data pipelines, aiming to make systems repeatable, observable, and scalable for research and engineering teams. The position involves designing test infrastructure, standardizing test stations, defining telemetry schemas, building data pipelines, establishing observability, and collaborating with various teams to improve data quality and test throughput. | — | 2 |
| Product Validation Engineer This role focuses on product validation for consumer electronics, integrating hardware, software, and content. While the role involves using and developing skills in AI tools for workflow optimization and adhering to ethical AI practices, its core function is not the direct development or research of AI models or systems, but rather the validation of products that may incorporate AI components. | — | 2 |
| 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 |
| Communications Manager, Thailand Meta is looking for a Communications Manager in Thailand to lead their communications strategy. The role involves advising leadership, managing crises, developing proactive narratives, and using social media for storytelling. A key aspect is the active experimentation and integration of AI tools to enhance communications efficiency, content production, and reporting, along with adhering to ethical AI practices and developing AI skills. | — | 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 |
| Employee Relations Business Partner This role is for an Employee Relations Business Partner at Meta, focusing on leading and managing complex employee relations matters, developing strategy, and advising stakeholders. While the role mentions leveraging AI-integrated workflows, AI-assisted tools, and AI skill development for operational efficiency and ethical practices, the core function of the role is employee relations, not the direct building or research of AI/ML models or systems. The AI components are tools used to enhance existing HR processes. | — | 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 |
| Finance Business Operations, Business Marketing This role is for a Finance Business Operations Manager within Meta's strategic finance organization, focusing on business marketing. The manager will act as a financial advisor to executives, managing financial planning, budgeting, forecasting, and long-range planning. Key responsibilities include providing analytic support, measuring marketing channels, driving investment decisions, building business partnerships, and preparing financial review materials. The role also involves developing financial models, identifying risks and opportunities, and integrating AI tools into financial planning and analysis workflows. Qualifications include 7+ years of experience in finance or operations, a relevant bachelor's degree, experience with financial systems and analytics tools, and strong communication and influencing skills. Experience with Go-to-Market, marketing finance, AI integration in finance, ethical AI practices, ROI/LTV frameworks, and partnering with executive leadership is also required. | — | 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 |
| Silicon Partnerships Manager Meta is seeking a Silicon Partnerships Manager to manage strategic engagement with external silicon partners and semiconductor suppliers for Meta's custom silicon programs, focusing on AR/VR, AI infrastructure, and consumer hardware. The role involves serving as the primary interface between Meta's silicon engineering teams and chip vendors, managing technical and commercial relationships to ensure partner readiness, roadmap alignment, and timely delivery of silicon solutions. | — | 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 |
| Network Engineer, Deployment & Support This role focuses on planning and executing network deployments and migrations for Meta's AI network infrastructure. While it involves leveraging AI tools to enhance network operations and optimize workflows, the core craft is network engineering, not AI model development. | — | 1 |
| Camera Hardware Integration Engineer Meta is seeking a Camera Hardware Integration Engineer to design, develop, and integrate electrical systems for consumer hardware. The role involves full product lifecycle collaboration, schematic design, board layout, debugging, and supporting manufacturing. Experience with camera module electrical subsystems, HW-SW integration, and AI tool integration for workflow optimization is required. The position also emphasizes responsible and ethical AI practices. | — | 1 |
| Head of Public Policy, Taiwan Meta is seeking a Head of Public Policy for Taiwan to lead policy strategy and stakeholder engagement. This role involves developing and executing policy initiatives, building relationships with government officials and industry partners, and advocating for Meta's positions on critical policy issues including AI, data privacy, and content regulation. The position requires analyzing legislative proposals, monitoring regulatory trends, and advising leadership on policy developments. Qualifications include extensive experience in public policy, government, or technology, a strong understanding of Taiwan's political landscape, and proven success in policy negotiation and influence. The role also requires experience with responsible AI practices, ongoing AI skill development, and integrating AI tools to optimize workflows. | — | 1 |
| Client Solutions Manager -eCommerce (8 Months Contract) Client Solutions Manager for Meta's Global Business Group team, partnering with strategic clients to ensure their success on Meta platforms. This role focuses on building strategic partnerships, driving growth, advertiser education, and satisfaction through data-driven insights and consultative sales. The position requires experience with large datasets, cross-functional collaboration, and prioritizing tasks. While the role involves understanding and integrating AI tools for workflow optimization and ethical AI practices, its core function is client solutions and marketing strategy within the eCommerce domain. | — | 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 |
| Public Policy Manager, East This role focuses on public policy and government relations for Meta in the eastern U.S., specifically concerning technology policy issues like AI regulation. While the role involves leveraging and staying current with AI tools for workflow optimization and ethical AI practices, its core function is not building or researching AI models. | — | 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 Site Investments Manager The Network Site Investments Manager role at Meta focuses on securing physical sites for Meta's global network infrastructure, which supports AI workloads and applications. The role involves developing site acquisition strategies, negotiating datacenter partnerships, conducting market research, managing relationships with providers, and aligning investments with demand forecasts. While the role leverages AI tools for analysis and reporting and requires ongoing AI skill development, its core function is in network infrastructure and real estate acquisition, not direct AI/ML model development or deployment. | — | 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 |