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 |
|---|---|---|
| AI Research Scientist, FAIR | Chercheur(se) en IA, FAIR Research Scientist role at Meta's FAIR team focusing on building world models from video for embodied and wearable agents, advancing research in self-supervised learning, predictive models, and model-based reinforcement learning. The role involves pushing the state of the art, publishing research, and developing efficient, scalable models. | Pretrain | 10 |
| Silicon Engineer | Ingénieur·e en puces This role involves designing and modeling ASIC architectures for AI/ML workloads in data centers, focusing on performance and power efficiency. The engineer will work on developing kernels and tools for these custom silicon products, collaborating with AI/ML and video codec experts. | Serve |
| 7 |
| Data Scientist, Product Analytics | Scientifique de données en analyse de produits This role is for a Data Scientist focused on product analytics within Meta's consumer applications. The primary responsibility is to use quantitative analysis, experimentation, and data modeling to inform product strategy and decision-making. While the role involves integrating AI tools into workflows, it does not involve building AI models or agents as its core craft. The focus is on using data to improve existing products and identify new opportunities. | — | 5 |
| Business Development Manager, Connected TV | Responsable du développement commercial, télévision connectée Business Development Manager for Meta's Connected TV initiatives, focusing on building global partnerships, shaping business strategy, identifying growth opportunities, and executing deals from negotiation to product launch. Requires experience in the Connected TV landscape, deal-making, and cross-functional collaboration. The role also emphasizes integrating AI tools to optimize workflows and adhering to ethical AI practices. | — | 5 |
| Public Policy Manager, Canada | Gestionnaire des politiques publiques, Canada This role involves shaping public policy and engaging with government officials in Canada on issues related to digital regulation, privacy, AI, and emerging technology for Meta's family of apps and technologies. | — | 0 |
| Construction Manager | Gestionnaire de construction This role is for a Construction Manager responsible for overseeing the construction, commissioning, and turnover of data centers. The role involves managing budgets, schedules, risks, vendor contracts, and collaborating with internal and external partners to ensure efficient and cost-effective project delivery. Experience in large-scale construction management, particularly in mission-critical or data center environments, is required. | — | 0 |
| Connectivity Engineer - Data Center Construction | Ingénieur en connectivité - Construction de centres de données Meta is seeking a Connectivity Engineer for their Design Engineering and Construction (DEC) team, focusing on data center infrastructure. The role involves managing the full project life-cycle for telecommunication projects, ensuring they are executed on schedule, within budget, and to the specified quality. Responsibilities include project planning, control, forecasting, technical reviews, and workflow management with installation partners and contractors. | — | 0 |
| Site Loss Control Specialist - Construction Safety | Spécialiste du contrôle des sinistres sur site - Sécurité sur les chantiers de construction Meta is seeking a Site Loss Control Specialist to manage safety and risk mitigation during the construction of large-scale data center campuses. The role involves identifying, assessing, and mitigating risks across all construction phases, serving as the primary safety authority, and partnering with contractors and internal teams to drive proactive risk management and incident prevention. Responsibilities include conducting risk assessments, developing safety programs, performing inspections, investigating incidents, evaluating contractor safety, and providing technical guidance. | — | 0 |
| Campus Construction Manager | Responsable des travaux sur le campus Meta is seeking an experienced Campus Construction Manager to oversee data center construction projects, focusing on safety, quality, schedule, and budget. The role involves managing General Contractors, onsite teams, and cross-functional partners to ensure efficient and high-quality delivery of data center infrastructure. | — | 0 |
| Area Schedule Lead, Mega Campus | Responsable de la planification régionale, méga-campus This role is a technical lead for schedule controls on a mega campus project, focusing on North America. Responsibilities include baseline schedule review, updates, reporting, change management, delay tracking, risk identification, and mentoring schedulers. The role collaborates with various internal departments and external contractors. | — | 0 |