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 125 active AI roles, up 55% versus the prior 4 weeks. Primary focus: Ship · Research.
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, Robotics Research Scientist focused on embodied AI and robotics, developing novel data-driven paradigms and algorithms leveraging various modalities and machine learning techniques for both simulation and real-world robots. The role involves pushing the frontiers of AI in robotics, with a strong emphasis on producing open science and publications. | AgentData | 10 |
| AI Research Scientist - FAIR Social Intelligence Research Scientist to contribute to Social Intelligence within complex multi-agent ecosystems, bridging centrally orchestrated multi-agent systems and social reasoning paradigms. Drive research focused on enabling autonomous agents to navigate the 'coordination bottleneck' through the development of Theory of Mind (ToM), intent modeling, and emergent social behaviors. Synthesize principles from reinforcement learning, game theory, and behavioral science to make agents capable of sophisticated alignment, ensuring ethical operation within human-centric environments. |
| Agent |
| 10 |
| AI Research Scientist — Agentic AI for Materials Discovery Research Scientist role focused on designing and building LLM-orchestrated multi-agent systems for autonomous materials discovery pipelines. This involves integrating agentic AI with computational tools, developing RAG systems, and collaborating with domain experts to accelerate discovery timelines. The role contributes to both production systems and published research. | Agent | 9 |
| AI Research Scientist, Robotics Research Scientist focused on embodied AI and robotics, developing novel data-driven paradigms and algorithms using machine learning and neural networks for both simulated and real-world robots. The role involves pushing the frontiers of AI in robotics, from low-level control to high-level intelligence, and requires experience with various modalities and research areas like reinforcement learning, vision, and LLMs. | AgentData | 9 |
| Business Support Engineer This role focuses on providing engineering support for Meta's Business Agent, which uses AI to enhance business productivity and customer experiences. The engineer will work with partners to integrate AI-driven solutions, troubleshoot distributed systems, and leverage AI tools for efficiency. Key responsibilities include building and optimizing AI solutions with LLMs, developing monitoring systems, and collaborating with cross-functional teams. The role requires experience with LLMs, AI agents, API development, and distributed systems, with an emphasis on responsible AI practices and continuous AI skill development. | AgentServe | 8 |
| Business Support Engineer This role focuses on supporting Meta's Business Agent by integrating AI-driven solutions for partners, building and optimizing AI architectures using LLMs, and managing the full lifecycle from prototype to production. It involves troubleshooting, performance monitoring, and influencing the product roadmap with a focus on AI tools and ethical AI practices. | AgentServe | 8 |
| Creative Coder Creative Coder role focused on developing advanced audio systems, prototypes, and pipelines, with a strong emphasis on integrating AI and agentic behavior into audio experiences. The role involves supporting AI Audio teams, implementing models, building prototypes, and leveraging code as a design medium to bridge product goals and engineering implementation, particularly in AR/VR and immersive environments. | AgentData | 8 |
| Escalations Manager, Global Response Operations This role focuses on managing high-priority escalations where AI reaches its limits, requiring expert human judgment. The individual will design and evaluate AI-assisted workflows, translate human expertise into encodable logic for AI systems, and critically assess AI outputs to improve system performance. The role involves orchestrating human and AI collaboration, identifying AI failures, and contributing to the operational improvement of AI systems. | AgentEval Gate | 7 |
| Business Support Engineer Meta is seeking a Business Support Engineer to support partners in integrating and utilizing AI-driven business solutions, specifically focusing on Llama and other LLMs. The role involves providing engineering support, troubleshooting distributed systems, building and optimizing AI solutions, developing monitoring systems, and collaborating with cross-functional teams. The engineer will also be responsible for creating documentation and coaching peers on AI/ML expertise. | AgentServe | 7 |
| Energy Integration Manager This role focuses on building the connective tissue within Meta's Energy organization by integrating fragmented data sources, enhancing portfolio health visibility, and applying AI/agentic tooling to automate reporting, flag anomalies, and accelerate procurement decisions. The primary goal is to create a unified, AI-accelerated view of portfolio health to enable faster and more confident energy procurement at scale. | Agent | 7 |
| Product Manager, Business Agents Quality Meta is seeking a Product Manager to own quality for their Business Agents product, a key priority for growing non-ads revenue. The role involves defining quality standards, building measurement and feedback loops, and partnering with various teams to improve agent interactions. The PM will also own the skills platform to expand agent capabilities. This is a horizontal, high-leverage role focused on ensuring AI agents earn trust at scale. | Agent | 7 |
| Research Scientist, Advanced Control Research Scientist role focused on developing advanced control strategies, particularly RL-based, for industrial data center operations to improve efficiency, reliability, and sustainability. The role involves defining roadmaps, leading cross-functional initiatives, and translating operational challenges into deployable solutions. | Agent | 7 |
| Technical Program Manager – AI-Generated Media Provenance Technical Program Manager to lead the AI-Generated Media (AIGM) Provenance program, focusing on watermarking, detection, and industry standards (C2PA). The role involves driving cross-organizational alignment, owning technical strategy for provenance infrastructure, navigating regulatory compliance, and representing Meta in industry standards bodies. It operates at the intersection of AI research, media infrastructure, product integration, and global regulation. | AgentServe | 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 |
| 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 |
| 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 |
| 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 |
| 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 |