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 |
|---|---|---|
| Software Engineer, AI Native Development Staff Software Engineer to lead the next generation of AI-native software development practices at Meta. This role involves building systems, tools, and workflows that integrate LLMs and generative AI into the software development lifecycle, from code generation to debugging and product delivery. The engineer will serve as a technical leader, shaping how Meta engineers leverage AI for broader scope, faster iteration, and higher quality outcomes. | AgentServe | 8 |
| 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 |
| Business Support Engineer - Meta Business Agents This role focuses on building, launching, and optimizing AI solutions, specifically using LLMs and AI agents, for business partners. It involves end-to-end ownership from prototype to production, including fine-tuning and optimization of models, and integrating AI tools to improve workflows. The role also requires supporting partners with distributed systems and API troubleshooting, and contributing to the product's strategic roadmap. | AgentPost-train | 8 |
| Business Support Engineer Meta is seeking a Business Support Engineer to play a pivotal role in supporting partners in bringing AI-driven solutions to their service offerings. The role involves architecting troubleshooting methodologies, leading AI-native technical strategy, building and optimizing AI architectures using LLMs, and providing 24/7 on-call support. The engineer will also influence product roadmaps, set technical communication standards, and manage cross-functional programs with a focus on continuous AI/ML learning. | 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 |
| 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 | 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 |
| Business Support Engineer This role focuses on building, launching, and optimizing AI solutions using LLMs and AI agents, integrating AI tools to improve workflows and support partners. It involves troubleshooting distributed systems, developing monitoring systems, and collaborating with cross-functional teams, with a strong emphasis on applying AI to enhance productivity and customer experiences. | Agent | 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 |
| 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 |
| 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 |
| 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 |
| Security Engineer, Wearables (RL) Security Engineer for Meta's Reality Labs devices, focusing on securing wearables, VR, and consumer electronics. The role involves building and scaling security capabilities like cryptographic provisioning, vulnerability management, and manufacturing security operations. A key responsibility is architecting an agentic AI automation layer for vulnerability management and driving system design for SBOM and vulnerability lifecycle tooling to meet regulatory requirements. The work spans on-device firmware, backend infrastructure, and AI automation, using languages like Rust, C, C++, and Python. | Agent | 6 |
| Security Engineer, Investigations - i3E Security Engineer role focused on investigating and mitigating threats across Meta's applications. The role involves proactive threat hunting, analyzing large datasets, automating investigative processes with tooling, and implementing AI-driven solutions for detection, enforcement, and investigation. Requires experience in cybersecurity, data analysis, scripting languages, and demonstrated AI skill development, including prompt engineering and agent orchestration, with a focus on ethical AI practices. | Agent | 5 |
| Security Engineer Investigator, Integrity Investigations, Intelligence, and Events Security Engineer Investigator role focused on protecting users from various threats by investigating sophisticated actors, advancing investigative methods, and automating processes using AI tools. The role involves analyzing large datasets, identifying threats, and implementing enforcement strategies. Requires strong cybersecurity and data analysis experience, with a demonstrated ability to integrate and apply AI technologies for workflow optimization and impact. | Agent | 5 |
| Infrastructure Engineer, Automation and Tooling, Fullstack (Robotics) Infrastructure Engineer focused on building fullstack tools for Robotics automation in data centers, with an emphasis on integrating AI tools to optimize workflows and drive efficiency. | Agent | 5 |
| Solutions Architect, Scaled Operations AI Accelerator Team This role focuses on designing, developing, and deploying AI-powered automation solutions to transform operational processes within Meta's Scaled Operations organization. The Solutions Architect will analyze and redesign workflows, architect end-to-end automation solutions, manage projects, and drive change management, with a strong emphasis on integrating AI tools and adhering to ethical AI practices. Experience with agent orchestration and prompt engineering is highlighted. | Agent | 5 |
| Solutions Architect Solutions Architect for Meta Reality Labs Sales Operations, focusing on designing and deploying AI-enhanced sales tools and systems. The role involves leveraging AI/ML to augment business intelligence, automate processes, and generate predictive insights to drive business growth and operational efficiency. Responsibilities include architecting scalable solutions, driving technical strategy, leading cross-functional programs, and championing AI-native approaches for sales processes and customer experiences, ensuring responsible AI adoption and integrating tools like prompt engineering and agent orchestration. | Agent | 5 |