Currently tracking 125 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 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 |
|---|---|---|
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| Software Engineer (Technical Leadership) Software Engineer with technical leadership responsibilities focused on applying machine learning to large-scale consumer prediction problems like fraud detection, recommendation systems, and classification. The role involves driving technical direction, developing scalable ML models, and shipping products to millions of users. | Ship | 7 |
| Software Engineer, Systems ML - SW/HW Co-design Software Engineer focused on AI Systems and ML Infrastructure, specifically involving hardware acceleration, compilers, and performance optimizations for ML systems. The role involves building and optimizing these systems, collaborating across teams, and applying knowledge of ML infra interaction with other systems. Experience with distributed systems, on-device development, and recommendation/ranking models is mentioned, along with a need to integrate AI tools and adhere to ethical AI practices. | Serve | 7 |