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 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).
Currently tracking 125 active AI roles, up 55% versus the prior 4 weeks. Primary focus: Ship · Research.
| Title | Stage | AI score |
|---|---|---|
| 3D Artist, Horizon This role focuses on shaping the future of AI-native game production by working hands-on with Meta's creation platforms, creating reference content, and providing feedback on AI-generated assets. The goal is to advocate for creators using these tools at scale and drive platform improvements. | Ship | 7 |
| Lead, Product Content Engineering This role focuses on driving evaluation efforts for LLM models across product teams, specifically within Meta's Product Content Engineering team. The individual will lead sprints, develop automation strategies for manual evaluation tasks, and partner with Product Managers to align resources. The role involves understanding technical product needs, translating them into actionable directions for cross-functional teams, and contributing to content strategies that improve user experience and content discovery. It requires expertise in GenAI products, prompt engineering, annotation, evaluation metrics, and a strong understanding of recommendation systems and content platforms. |
| Eval GatePost-train |
| 7 |
| Lead AI Operations Program Manager Seeking an AI-focused operations program leader to manage AI initiatives across product and technical operations, from architecture to scaled deployment. This role involves interfacing with product development, engineering, and external suppliers to ensure alignment, timely delivery, and operational impact. The candidate will establish engagement models, define roles, and instill operational rigor powered by AI, tracking KPIs and managing dependencies. Responsibilities include driving AI transformation, integrating AI tools into manufacturing and supply chain, influencing design decisions, assessing risks, and championing continuous improvement through AI-optimized workflows. The role requires experience managing complex, cross-functional programs, influencing executives, and translating AI strategy into operationalized workflows, with a focus on piloting, scaling, and operationalizing AI solutions. | ShipAgent | 7 |
| Technical Program Manager, FAIR (AI Research) Technical Program Manager at Meta AI Research (FAIR) to lead complex, cross-functional programs that accelerate scientific discovery and innovation. The role involves partnering with researchers, engineers, and product managers to deliver scalable solutions for compute infrastructure, data management, and generative AI projects, enabling cutting-edge research and AI product development. Responsibilities include driving end-to-end program management, guiding technical strategy, identifying and mitigating risks, and facilitating communication. Qualifications include extensive experience in technical program management, systems engineering, or software engineering, with a preference for AI/ML backgrounds and experience integrating AI tools. | Ship | 7 |
| Robotics Verification & Validation Engineer Meta is seeking a Robotics Verification & Validation Engineer for their humanoid robotics team. The role focuses on ensuring the reliability, safety, and performance of the robot platform through end-to-end V&V of hardware, software, firmware, and AI components. Responsibilities include developing V&V plans, creating test environments, leading root cause analysis, and ensuring compliance with safety standards. The role requires experience with safety-critical systems, functional safety standards, and validating systems with integrated AI/ML, particularly in perception and decision-making. | ShipAgent | 7 |
| Director of Engineering - Facebook Groups Ranking Director of Engineering for Facebook Groups Ranking, focusing on recommendation systems, Generative AI, and ML engineering to drive user engagement. The role involves leading teams to build ranking platforms, advance LLM applications, and optimize ML solutions for a large-scale consumer product. | ShipServe | 7 |
| Automation Engineer, Materials Research Science Meta Reality Labs is seeking an engineer to build an automation backbone for an autonomous materials discovery lab. This role involves integrating AI agents, robotic work-cells, and scientific instruments into a closed-loop pipeline to accelerate the development of novel materials for wearables and robotics. The engineer will translate scientific workflows into production-grade software, connecting instruments, robots, and sensors, and integrating with LLM-based multi-agent systems for experiment planning and analysis. | Agent | 7 |
| Research Scientist Intern, Multimodal Contextual AI (PhD) Research Scientist Intern focused on on-device contextual AI for AR devices, involving computer vision, audio interaction, and LLMs. The role requires building and characterizing experimental HW+SW systems on AR devices, developing embedded firmware, and collaborating across disciplines. Candidates should be pursuing a PhD and have experience with C/C++, Python, ML frameworks, and embedded systems. | Serve | 7 |
| Director, Product Management - APAC Products Director of Product Management for APAC Products at Meta, leading AI transformation initiatives. This role focuses on redesigning product development workflows for speed and efficiency using AI, setting AI-native strategies, and scaling AI best practices across teams. Responsibilities include defining product vision, leading cross-functional teams, orchestrating complex execution with AI automation, and establishing AI evals as a core practice. Requires extensive experience in product leadership, managing global-scale projects, and integrating AI tools responsibly into product development and workflows. | Ship | 7 |
| Senior Principal, Commercial Legal AI This role leads the implementation and adoption of AI agents for commercial contracts processes, aiming for significant efficiency gains and ensuring legal integrity and compliance. It involves configuring playbooks, integrating solutions, designing AI guardrails, and developing reusable frameworks for broader legal domains, influencing the overall Legal AI strategy. | Agent | 7 |
| Manager, Global Fulfillment and Transportation Meta is seeking a Manager for Global Fulfillment and Transportation to lead a team responsible for day-to-day operations and strategic programs, including agentic AI workflows. The role requires experience in logistics execution and program management, with a focus on architecting systems and AI workflows to improve speed, cost, and resilience. Responsibilities include operational oversight, process-to-system translation, leading AI workflow design and scaling, managing program portfolios, driving cost transformation, and developing the team. | Agent | 7 |
| Technical Program Manager, FAIR (AI Research) Technical Program Manager to lead cross-functional programs for FAIR, focusing on compute infrastructure, data management, and generative AI projects. The role involves partnering with researchers and engineers to deliver scalable solutions, guide technical strategy, and ensure the productionization of generative models, while adhering to ethical AI practices and evaluating model performance. | ShipData | 7 |
| Director, Data Engineering Director of Data Engineering at Meta, focusing on measuring the impact of AI for Work (AI4W) across the enterprise. This 0->1 role involves building measurement frameworks, data pipelines, and instrumentation to track agent telemetry and outcome metrics. The goal is to quantify the ROI of AI tools, validate claimed impact, and shape the strategy for AI-augmented productivity. The role requires operating across diverse AI use cases and influencing stakeholders to evolve operating models for the AI era. | Ship | 7 |
| Solutions Architect, Scaled Operations AI Accelerator Team Meta is seeking a Solutions Architect to lead AI integration into its Scaled Operations organization. This role will focus on identifying, architecting, and implementing AI-driven automation solutions to enhance efficiency and effectiveness in global operations. The architect will partner with leadership and cross-functional teams to optimize workflows, manage projects, and drive change management, leveraging AI advancements and ensuring responsible AI practices. | Agent | 7 |
| Director, Data Licensing Partnerships Director of Data Licensing Partnerships responsible for sourcing, negotiating, and managing data licensing partnerships to enable Meta's AI and product innovation. This role involves defining strategy, securing partnerships, managing relationships with data providers and labeling partners, leading commercial and technical negotiations, and ensuring compliance. The role requires leading a global team and working closely with AI, Product, Legal, and Engineering teams to integrate partner data assets for AI and product development. | Data | 7 |
| Audio Research Scientist Intern Research Scientist Intern role focused on audio and hearing science, involving the design and analysis of audiologic experiments, development of novel algorithms for speech enhancement and hearing assistance, and collaboration with researchers. Requires a PhD in a related field and experience in experimental design, programming, and signal processing. | Post-train | 7 |
| Research Scientist Research Scientist at Meta focused on developing and implementing optimization algorithms, large-scale distributed systems, and machine learning models for various platforms. The role involves data analysis, system engineering, and creating tools for data migration and product development. | Post-train | 7 |
| Robotics Manipulation Engineer Meta is seeking a Robotics Engineer to join their Infra Robotics team, focusing on integrating robotics and automation into data center operations. The role involves solution architecture, system integration, verification, and product release, with a strong emphasis on hands-on experience with industrial robotics, automation software development, and ML algorithms for robot interaction. The engineer will collaborate with cross-functional teams to improve serviceability, repair efficiency, and reliability. | Ship | 7 |
| Software Engineer, Machine Learning Software Engineer, Machine Learning at Meta focused on developing and testing operating systems-level software, compilers, and network distribution software for massive social data and prediction problems. The role involves applying deep learning, data regression, and rules-based models to classification and optimization tasks such as fraud detection, ad ranking, recommendation systems, and spam detection, with a focus on building highly scalable and efficient systems. | Ship | 7 |
| Software Engineer Software Engineer role at Meta focused on developing and optimizing large-scale systems for social data and prediction problems. The role involves applying deep learning, data regression, and rule-based models to areas like fraud detection, recommendation systems, and spam detection, with a strong emphasis on adapting ML methods for parallel environments (distributed clusters, GPUs). Requires a Master's degree and 2 years of experience with ML frameworks and distributed systems. | Serve | 7 |
| Machine Learning Engineer Machine Learning Engineer at Meta focused on developing and optimizing large-scale machine learning systems for social data prediction problems, including ranking, classification, and recommendation. The role involves applying advanced deep learning techniques and leveraging parallel computing environments to build highly scalable algorithms and tools. | ServeAgent | 7 |
| Machine Learning Engineer Machine Learning Engineer at Meta focused on designing, implementing, and productionizing ML models for ad ranking, targeting, and conversion optimization. This role involves leading experiments, building scalable ML pipelines, and collaborating with cross-functional teams. Requires a Master's degree and 3 years of experience in ML, deep learning, distributed computing, and Python/C++. | Ship | 7 |
| Applied Research Scientist, Computational Mathematics, Physics, & Controls Applied Research Scientist role focused on developing large-scale physics simulation software for robotics and embodied AI applications, involving computational mathematics, physics simulations, and controls for embodied agents. Requires C++ and high-performance computing experience. | Agent | 7 |
| Product Content Engineer This role focuses on defining and implementing content quality standards for AI-powered experiences, specifically within Meta's AI Discovery team. The Product Content Engineer will build frameworks, rubrics, and pipelines to evaluate AI outputs, assess model behavior, and collaborate with cross-functional teams to improve AI content experiences, particularly in search and recommendation systems. | Eval Gate | 7 |
| Director, Data Science - AI for Work (AI4W) Ecosystem Director, Data Science - AI for Work (AI4W) Ecosystem at Meta. This role is a founding senior IC on a new analytics team focused on integrating AI into Meta's products and processes. The role involves shaping product development, measuring impact, strategizing investments, and guiding teams with data-driven insights. Responsibilities include collaborating with cross-functional partners, contributing to technical vision, building and improving AI development/experimentation/measurement systems, and leading data scientists and managers. Requires experience in predictive modeling, ML, experimentation, ethical AI practices, and AI skill development like prompt engineering and agent orchestration. | Ship | 7 |
| Marketing Technology Manager, AI Meta is seeking a Marketing Technology Manager to design and develop foundational infrastructure for an AI-first, agent-led marketing operating model. This role focuses on enabling autonomous AI agents to plan, execute, and optimize marketing campaigns by building data foundations, evaluation frameworks, and platform architecture. The position involves integrating LLMs and AI agents into marketing technology workflows, ensuring platform reliability, and supporting organizational transformation towards agentic marketing. | AgentEval Gate | 7 |
| Solutions Architect, Business AI Solutions Architect role focused on building next-gen AI products and prototypes, working with business challenges and AI technology to deliver scalable, AI-powered solutions for enterprise customers. The role involves bridging sales and engineering, understanding business goals, and influencing the AI industry. | Agent | 7 |
| Software Engineer, Systems Software Engineer focused on building and optimizing AI infrastructure and ML systems, leveraging hardware acceleration techniques to improve Meta's products. The role involves goal setting, data-driven analysis, defining use cases, and mentoring other engineers. | Serve | 7 |
| Software Engineer, Machine Learning Software Engineer, Machine Learning at Meta focused on developing and testing operating systems-level software, compilers, and network distribution software for massive social data and prediction problems. The role involves working on classification and optimization problems using deep learning, data regression, and rule-based models to build highly scalable systems and algorithms. | Ship | 7 |
| Business Engineer, Business AI Business Engineer role focused on applying AI/ML to solve real-world business challenges, building end-to-end systems and next-gen AI products. The role involves working with LLMs and agentic AI, shipping production-grade code, and collaborating with business partners to drive impact and innovation in a zero-to-one domain. | Agent | 7 |
| Business Engineer, Business AI Business Engineer role focused on applying AI and LLMs to solve real-world business challenges, build next-gen AI products, and deliver scalable production-grade code. The role operates at the intersection of business and AI innovation, similar to a Forward-Deployed Engineer, impacting businesses and consumers globally. It involves designing and building end-to-end systems, GTM automation, and influencing decision-making through data-centric business topics. | Agent | 7 |
| Product Manager - Growth & Monetization Product Manager for Growth & Monetization at Meta, focusing on new standalone consumer app exploration and growth. The role involves driving 0->1 product development, leveraging agentic workflows, and critically evaluating AI's role in product strategy. Responsibilities include defining product vision, roadmaps, and strategies using AI capabilities, championing AI-native approaches with comprehensive evals and data strategies, and scaling AI best practices across the organization. The role also emphasizes using AI-enabled tools to transform team velocity and orchestrating complex execution with AI automation and human oversight. A key aspect is defining and running evaluations (evals) for AI-powered experiences and integrating AI tools to optimize workflows. | Agent | 7 |
| Product Manager, APAC Product Manager for Cross-Meta Foundations APAC Products, focusing on commerce and creator monetization. The role involves defining product strategy, driving adoption, and scaling AI-native solutions and best practices across APAC markets. Key responsibilities include translating AI capabilities into product visions, developing AI strategies with evals and data strategies, and fostering experimentation and learning. | Agent | 7 |
| Creative Coder Meta's Creative Audio team is seeking a Creative Coder to collaborate with Engineering and Product Design on advanced audio systems for various products (phone, VR, AR). The role involves developing prototypes, optimizing performance, and leveraging AI tools like LLMs and prompt engineering to create innovative audio experiences. Responsibilities include building AI audio pipelines, integrating generative sound/music, speech synthesis, and RAG methodologies, while adhering to ethical AI practices and potentially using agent orchestration. | Agent | 7 |
| Product Manager, Central Product Product Manager to lead AI-native product development at scale, defining AI strategies, overseeing product vision, roadmap, and execution. This role requires critically evaluating AI's role, translating capabilities into product visions, developing comprehensive AI strategies with evals and data strategies, and scaling AI best practices across product teams. The PM will orchestrate execution using AI automation and human oversight, foster experimentation, and mentor others on AI-native practices. | Ship | 7 |
| Research Data Program Manager Meta's SuperIntelligence Lab is seeking a Research Data Program Manager to lead human data annotation programs for ML research and model development. The role involves partnering with researchers, product, and engineering teams to create high-quality datasets, manage external vendors, and build scalable processes and quality programs. The ideal candidate will have strong program management skills, technical fluency, and experience with various data types and annotation tooling. | Data | 7 |
| Software Engineer, Video AI/ML Specialist Software Engineer specializing in Video AI/ML at Meta, focusing on developing and optimizing video solutions for various products. The role involves researching, developing, and implementing AI/ML-based compression algorithms and enhancement tools to improve video quality and reduce compute footprint, with a strong emphasis on real-time communication systems and large-scale deployment. | ServePost-train | 7 |
| Data Engineering Manager, Analytics Meta is seeking a Data Engineering Manager to lead a team specializing in AI/ML solutions for operations. The role involves overseeing the development and deployment of AI/ML models to automate and optimize global operations, focusing on scalable backends for post-monitoring and measurable cost reduction. The manager will partner with various teams to identify opportunities, build partnerships, and drive end-to-end project delivery, establishing best practices in data engineering and model development. | ServeData | 7 |
| Director of Treasury Technology, Controls & Infrastructure Director of Treasury Technology, Controls & Infrastructure at Meta, responsible for leading the technology and systems that enable treasury operations. This role involves driving AI and automation initiatives to create highly automated treasury operations and insights, owning the roadmap for treasury and banking systems infrastructure, and designing process frameworks and controls. The position requires a blend of treasury expertise and modernizing systems, with a focus on integrating AI tools for workflow optimization and ensuring responsible AI practices. | Agent | 7 |
| Sr. Data Scientist Meta is seeking a Sr. Data Scientist to work with large datasets, solve complex problems using analytical and statistical approaches, and partner with Product and Engineering teams. The role involves informing product decisions, working with data infrastructure (Hadoop, Hive, MySQL), authoring pipelines (SQL, Python ETL), guiding experimentation, and developing machine learning models including label design and evaluation. The scientist will leverage Python and R to make strategic business decisions, apply causal inference, design/evaluate experiments, monitor metrics, build dashboards, and develop models of user behavior. This includes influencing product teams through presentations, communicating results, and spreading best practices. The role requires applying predictive modeling, machine learning, and experimentation/causal inference methods regularly. | Ship | 7 |
| Research Data Program Manager, MSL Meta SuperIntelligence Lab is seeking a Research Data Program Manager to lead human data annotation programs for ML research and model development. The role involves partnering with researchers, product, and engineering teams to translate research needs into high-quality datasets, manage external vendors, and build scalable processes and quality metrics. The ideal candidate will have strong program management experience, technical fluency, and familiarity with various data types and workflows including RLHF, multimodal, and safety labeling. | Data | 7 |
| Machine Learning Engineer Machine Learning Engineer at Meta focused on developing and deploying scalable ML models for consumer-facing problems like fraud detection, ad/feed/search ranking, and spam detection. The role involves research, design, development, testing, and production deployment of these models, working with data pipelines, and collaborating with cross-functional teams. | Ship | 7 |
| Software Specialist (TL) - AI/ML - Monetisation Meta's Core Ads Quality team is seeking a Software Specialist (TL) to drive technical direction and strategy for AI/ML initiatives within the ads monetization space. This role involves optimizing the trade-off between ad quality and revenue, understanding user behavior, and building robust infrastructure for signals and metrics. The position requires experience in developing ML algorithms and infrastructure, bringing research to production, and planning multi-year roadmaps, with a focus on analytical problem-solving and cross-functional collaboration. | Agent | 7 |
| Software Engineering, Machine Learning (Singapore) Meta is seeking experienced Software Engineers to build and improve cutting-edge consumer products, focusing on connecting people globally. This role involves developing innovative features, optimizing performance, and architecting scalable systems, with a strong emphasis on integrating and applying AI tools responsibly to drive impact and efficiency. | Ship | 7 |
| Software Engineer, ML (Technical Leadership) This role is for a Principal Machine Learning Engineer focused on financial risk management at Meta. The individual will be responsible for strategizing and delivering ML solutions to minimize financial losses, optimize existing ML models, and lead the research and introduction of advanced technologies like deep learning and LLMs. They will also collaborate on the next-generation ML architecture, identify new business opportunities, and mentor other senior ML engineers. | ShipPost-train | 7 |
| Software Engineering, Machine Learning Software Engineer, Machine Learning role at Meta in Singapore, focusing on building cutting-edge products that connect billions of people. The role involves developing and shipping ML models at scale, integrating AI tools to optimize workflows, and staying current with emerging AI technologies. Requires experience in ML, recommendation systems, or AI, with a strong software engineering background. | Ship | 7 |
| Software Engineer, Machine Learning Software Engineer, Machine Learning at Meta in London, UK. The role involves building cutting-edge products, improving existing ones, and advancing user experience. Responsibilities include collaborating with cross-functional teams, implementing UIs, analyzing code, architecting scalable systems, and resolving performance issues. Qualifications include experience with data analysis, programming, information retrieval, NLP, AI tools integration, ethical AI practices, and AI skill development like prompt engineering and agent orchestration. | Agent | 7 |
| Software Engineer, Machine Learning Software Engineer, Machine Learning role at Meta focused on building cutting-edge AI-powered products that connect billions of people globally. The role involves developing ML models at scale, integrating AI tools to optimize workflows, and ensuring responsible AI practices. Requires strong programming experience, experience with ML/AI fields, and a track record of shipping high-quality, reliable AI-driven features. | Ship | 7 |
| Software Engineer, Machine Learning Software Engineer, Machine Learning at Meta focused on building cutting-edge products by integrating AI tools, implementing ethical AI practices, and developing skills in areas like prompt engineering and agent orchestration. The role involves collaborating with cross-functional teams, architecting scalable systems, and optimizing code for performance. | Agent | 7 |
| Software Engineer (Technical Leadership) - Machine Learning Meta is looking for a principal engineer to lead teams in building and improving AI-powered products that connect billions of people globally. The role involves driving technical direction, developing roadmaps, and mentoring stakeholders, with a focus on integrating AI tools and adhering to responsible AI practices. | Ship | 7 |
