Currently tracking 121 active AI roles, up 55% versus the prior 4 weeks. Primary focus: Ship · Research.
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.
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 |
|---|---|---|
| Global Logistics Process Improvement Program Manager This role focuses on process improvement within global logistics, leveraging AI and automation to optimize supply chain operations. While AI tools are mentioned as a means to enhance efficiency and performance, the core function is not the development or research of AI itself, but rather the application of AI to existing logistics processes. The role involves leading initiatives, cross-functional collaboration, and data-driven decision-making within the supply chain domain. | — | 5 |
| Partner Enablement Manager | Meta Reality Labs DACH This role is for a Partner Enablement Manager in Meta Reality Labs for the DACH region, focusing on channel marketing operations, budget management, customer acquisition, and strengthening relationships with retail partners to drive Meta hardware vision. The role involves developing and executing marketing programs, managing co-marketing budgets, overseeing brand assets, and influencing key business decisions. While the role is not directly building AI, it requires the ability to integrate AI tools to optimize workflows and drive measurable impact, along with adherence to ethical AI practices and ongoing AI skill development. |
| — |
| 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 |
| Public Policy Manager, Germany, Austria, Switzerland (24 months contract) Meta is seeking a Public Policy Manager for Germany, Austria, and Switzerland to develop and execute policy strategies related to AI, privacy, and technology regulation. The role involves engaging with policymakers, building coalitions, and advising internal teams. While the role requires familiarity with AI policy and using AI tools for work, its core function is public policy and regulatory strategy, not AI development. | — | 5 |
| Solutions Architect Solutions Architect for Meta's advertising technology partners, focusing on integrating, optimizing, and scaling solutions on Meta's marketing platform. The role involves acting as a technical consultant, guiding partners on Meta's advertising APIs and products, and identifying opportunities for new solutions. It requires a blend of technical expertise and strategic partner engagement to drive business impact. | — | 5 |
| Reseller Program Manager Meta is looking for a Program Manager to join their Reseller Business Program team in Hong Kong. This role will focus on planning, executing, and monitoring projects related to the team's programs, with a strong emphasis on operational efficiency, cross-functional collaboration, and driving business scaling strategies. The ideal candidate will have experience in sales, marketing, or program management, with a proven track record in managing complex projects and influencing stakeholders. Experience in the ad industry, knowledge of Meta's messaging apps, and experience with AI tools for workflow optimization and ethical AI practices are highly desirable. | — | 5 |
| Data Scientist Data Scientist role at Meta focused on quantitative analysis, data mining, and applying machine learning techniques to inform product decisions. The role involves working with large datasets, SQL, Python, and distributed systems, with a focus on A/B testing and statistical analysis. | — | 5 |
| Research Scientist Intern, Applied Perception Science (PhD) Research Scientist Intern focused on human visual perception and AR display technology, aiming to improve user experience and accessibility by defining and implementing perceptual models for chromatic contrast. The role involves experimental design, translating research into practical guidance, and collaborating across disciplines. It also emphasizes integrating AI tools for workflow optimization and adhering to ethical AI practices. | Data | 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 |
| Business Development Manager, AI Partnerships Business Development Manager to drive global partnerships for Meta's AI products and technologies, managing relationships from negotiation to launch, and working cross-functionally with product, engineering, legal, and marketing teams. Requires experience in AI products, driving AI initiatives, and understanding the AI ecosystem, with a focus on ethical AI practices and staying current with AI technologies. | — | 5 |
| UX Researcher, Mixed Methods UX Researcher focused on understanding user behavior and attitudes for consumer products, with a requirement to integrate AI tools into workflows and adhere to ethical AI practices. | — | 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 |
| Data Scientist Data Scientist role at Meta focused on building machine learning systems and models for user behavior analysis and production systems. Responsibilities include data mining, quantitative analysis, developing data pipelines, and partnering with product and engineering teams. Requires a Bachelor's degree and experience with SQL, Python, statistical software, A/B testing, machine learning, ETL, and large-scale data processing. | Data | 5 |
| Marketing Science Consultant This role supports small businesses in growing on Meta's platforms by understanding their needs and integrating AI-driven guidance systems. It involves developing strategies, executing research projects, and collaborating with sales and product teams to drive advertiser adoption and value. The role requires analytical skills, experience in digital advertising measurement, and the ability to integrate AI tools responsibly. | — | 5 |
| Product Marketing Manager Product Marketing Manager at Meta to drive market requirements and go-to-market plans for Meta's advertiser solutions. Responsibilities include market assessment, influencing product development, evaluating risks, owning go-to-market strategy, and leading inbound/outbound marketing initiatives. Requires 10+ years of experience in tech marketing, product management, or consulting, with a strong understanding of digital advertising and AI tools. The role involves cross-functional leadership, analytical skills, and navigating ambiguity. | — | 5 |
| Client Solution Manager, Tech & Commerce, 12 Month Contract Client Solutions Manager role focused on partnering with strategic clients to ensure their success with Meta's advertising solutions, primarily in the Fashion vertical. The role involves developing ROI-positive marketing strategies, driving growth through performance optimization, and implementing measurement & attribution solutions. Success relies on consultative sales, analytical skills, client service, and commercial acumen. The role requires understanding and integrating AI tools to optimize workflows and drive measurable impact, adhering to ethical AI practices, and demonstrating ongoing AI skill development. | — | 5 |
| Data Engineer Meta is seeking a Data Engineer to design, build, and launch data pipelines and tools that generate business insights. The role involves analyzing user needs, designing software and data solutions, and developing data models and processes. The engineer will leverage ETL frameworks and collaborate with infrastructure, product, and engineering teams to build cross-platform ETL and reporting frameworks. | — | 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 |
| Data Scientist Data Scientist role at Meta focused on building machine learning systems and models for user behavior analysis and production systems, working with large datasets and partnering with product and engineering teams. | Data | 5 |
| Data Center Production Operations Engineer Meta is seeking an experienced engineer for their Data Center Production Operations team. The role involves supporting platform health, performing root cause analysis of complex technical issues, leading the introduction of new hardware, and driving corrective actions for hardware/software issues at scale. The candidate should have strong Linux and server hardware skills, with experience in areas like hardware repair, OS management, tooling, automation, and networking. The role also emphasizes using data analytics to optimize server uptime and utilization, and requires participation in on-call rotations. While not directly building AI models, the role requires integrating AI tools to optimize workflows, adhering to ethical AI practices, 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 |
| Product Growth Analyst Product Growth Analyst role focused on driving growth for consumer products through data analysis, product ideation, and experimentation. Requires strong analytical skills, cross-functional collaboration, and experience with AI tools for workflow optimization and responsible AI practices. | — | 5 |
| Commercial Sourcing Manager - Cloud The Commercial Sourcing Manager will lead commercial and business engagements for Cloud hardware, software, and services, focusing on developing sourcing strategies, negotiating with suppliers, and managing relationships to support Meta's AI goals. This role involves partnering with research and engineering teams, managing contracts, software licensing, and global supply chain strategies for cloud technologies. | — | 5 |
| Business Support Engineer This role focuses on providing technical support and engineering assistance to Meta's global partners, particularly in areas like Fintech and Telecommunications. The engineer will manage integrations, troubleshoot issues, and collaborate with internal teams to improve products. While the role involves using and understanding AI tools for workflow optimization and adhering to ethical AI practices, its core function is partner support and integration, not direct AI/ML model development. | — | 5 |
| Strategic Planning, Operations and Analytics Lead This role involves strategic planning, operations, and analytics for Meta's sales and go-to-market teams. The lead will collaborate with senior stakeholders to identify and structure high-priority programs, develop strategy and operating models for a large budget portfolio, and partner with cross-functional teams on data architecture and user experience for technological solutions. A key aspect is partnering with data science to shape targeting/machine learning models and utilizing AI/ML techniques to analyze large datasets for growth strategies. The role also involves developing analytics capabilities, using Generative AI to automate SQL code, leading end-to-end analytical projects, and presenting data-driven insights to senior leadership. The ideal candidate has a Master's degree and significant experience in analytics, project management, and leading technology transformations, with a strong understanding of statistical modeling and customer targeting. | Agent | 5 |
| Product Designer Product Designer for Meta's Wearables team, focusing on shaping future computing platforms. This role involves driving high-ambiguity projects, partnering with device teams, and refining user experiences. Responsibilities include turning conceptual ideas into valuable products, designing end-to-end flows, driving prioritization and execution, and influencing product direction. Qualifications include a Bachelor's degree in a related field, 8+ years of experience in building and shipping applications at scale, and expertise in interaction and visual design. The role requires strategic product thinking, executive communication, and demonstrated ability to integrate AI tools for workflow optimization, adhere to ethical AI practices, and develop ongoing AI skills. | — | 5 |
| Client Solutions Manager, Tech Apps Client Solutions Manager at Meta in Warsaw, Poland, focused on partnering with strategic Tech Apps clients to drive their success on Meta's platforms. This role involves developing ROI-driven marketing strategies, optimizing performance, and implementing measurement & attribution solutions. It requires consultative sales, analytical skills, and a data-driven approach to provide business insights and drive revenue. The role also involves managing client relationships, cross-functional projects, and campaign execution, optimization, and reporting. | — | 5 |
| Client Solution Manager, Tech & Commerce, 12 Month Contract Client Solutions Manager role focused on partnering with strategic clients to ensure their success with Meta's advertising solutions. The role involves building relationships, acting as a consultative product expert, and driving ROI-positive marketing strategies. It requires optimizing complex opportunities, using data and analytics for consultative and technical solutions, and providing business insights. Success depends on consultative sales, analytical skills, client service focus, and commercial acumen. The role also involves integrating AI tools to optimize workflows and adhering to ethical AI practices. | — | 5 |
| Research Scientist Intern, Silicon Performance Architecture (PhD) Research intern focused on improving performance modeling and simulation methodologies for AR/MR silicon, with some exposure to integrating AI tools for workflow optimization and ethical AI practices. | — | 5 |
| Product Manager Product Manager role at Meta focused on driving product vision, strategy, and roadmaps. The role involves working with cross-functional teams, defining product requirements, analyzing metrics, and integrating AI tools to optimize workflows and drive impact. Requires experience in full product lifecycle, ethical AI practices, and staying current with emerging AI technologies. | — | 5 |
| Product Designer Product Designer at Meta to design user experiences, digital interfaces, graphics, and layouts for web and mobile-based applications, including Generative AI products. Collaborate with cross-functional teams to drive product design from conception to launch, translating complex initiatives into simple design flows. Requires experience designing and shipping AI-powered applications. | — | 5 |
| Concept Modeling Designer Concept Modeling Designer for hardware products, focusing on 3D modeling in CAD software. The role involves iterating on digital 3D models, exploring design ideas, and combining usability, aesthetics, and technical insight. It requires collaboration with cross-functional teams and experience with various modeling techniques and rendering programs. The role also emphasizes integrating AI tools to optimize workflows and adhering to ethical AI practices, with ongoing AI skill development being important. | — | 5 |
| Product Marketing Manager Product Marketing Manager for Meta's business products, focusing on advertiser solutions. Responsibilities include market assessment, go-to-market strategy, and cross-functional collaboration. Requires experience in digital advertising and monetization, with a demonstrated ability to integrate and manage AI tools responsibly. | — | 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 |
| Product Manager Meta is seeking a Product Manager to drive product initiatives across the company, working with cross-functional teams to innovate and execute. The role involves identifying opportunities, defining strategies and roadmaps, integrating user insights and data, and managing the full product lifecycle. While not directly building AI models, the role requires integrating AI tools to optimize workflows, adhering to ethical AI practices, and demonstrating ongoing AI skill development. | — | 5 |
| Product Designer, Meta Product Designer role at Meta focused on shaping user experiences for their platforms, involving the entire product development lifecycle. The role requires integrating AI tools to optimize workflows and adhering to ethical AI practices, with an emphasis on ongoing AI skill development. | — | 5 |
| Software Engineer (Leadership) - Infrastructure Meta is seeking talented principal engineers to join their teams in building cutting-edge products that connect billions of people around the world. This role involves overseeing complex technical problems, building new features, and improving existing products across various platforms. The engineer will lead long-term technical vision and roadmap for large cross-company efforts, identify and resolve performance and scalability issues, and reduce technical debt. The role also requires integrating AI tools to optimize workflows and adhering to responsible AI practices. | — | 5 |
| Software Engineer, Infrastructure Software Engineer, Infrastructure role at Meta focused on building cutting-edge products and improving existing ones. Responsibilities include collaborating with cross-functional teams, implementing UIs, analyzing and optimizing code, architecting scalable systems, and resolving performance issues. The role requires significant programming experience and the ability to integrate AI tools to optimize workflows and adhere to ethical AI practices, with an emphasis on ongoing AI skill development. | — | 5 |
| Data Scientist, Analytics (Technical Leadership) This role is for a Data Scientist focused on analytics and product strategy, collaborating with cross-functional teams to drive product development and user value. While the role involves using AI tools and adhering to ethical AI practices, its core function is not building AI models but rather leveraging data and analytics to inform product decisions and strategy. | — | 5 |
| Product Designer Product Designer at Meta focused on creating user experiences for their consumer products. The role involves the full product development lifecycle, from ideation to launch, and requires collaboration with cross-functional teams. While not directly building AI models, the designer is expected to integrate AI tools into their workflow, adhere to ethical AI practices, and demonstrate ongoing AI skill development. | — | 5 |
| Product Designer Product Designer at Meta responsible for shaping innovative user experiences across Meta's products. This role involves end-to-end product development, from ideation to launch, focusing on user experience, interaction, and visual design. The designer will collaborate with cross-functional teams and is expected to integrate AI tools to optimize workflows and adhere to ethical AI practices. | — | 5 |
| Product Designer, Reality Labs Product Designer for Meta's Reality Labs, focusing on innovative user experiences for VR/AR/MR products. The role involves end-to-end product development, from concept to launch, with a strong emphasis on user experience, interaction, and visual design. Requires collaboration with cross-functional teams and experience with emerging technologies. The role also requires integrating AI tools to optimize workflows and adhering to ethical AI practices, with ongoing AI skill 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 |
| Product Manager Product Manager role at Meta, focusing on driving product strategies and roadmaps, working with cross-functional teams, and defining product requirements. Requires 10+ years of PM experience, experience with full product lifecycle, and demonstrated ability to integrate AI tools and 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 |
| Product Manager Product Manager at Meta responsible for driving AI-powered product initiatives, defining success metrics, prioritizing product problems, and coordinating with cross-functional teams. Requires experience integrating AI tools, implementing ethical AI practices, and demonstrating ongoing AI skill development. | — | 5 |
| Product Manager Product Manager at Meta responsible for leading product areas, defining metrics, prioritizing problems, and driving product strategy and execution. This role involves working with cross-functional teams, gathering user research, and managing product lifecycles. A key aspect is integrating AI tools to optimize workflows, adhering to ethical AI practices, and demonstrating ongoing AI skill development. | — | 5 |
| Product Manager Product Manager to lead and drive complex product areas, define product vision, develop roadmaps, and manage the full product lifecycle. This role involves working with cross-functional teams, analyzing data, and influencing strategy. A key aspect is integrating AI tools to optimize workflows and adhering to ethical AI practices, with an expectation of ongoing AI skill development. | — | 5 |