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 |
|---|---|---|
| Enterprise Technical Sales Specialist, EMEA Meta is seeking an Enterprise Technical Sales Specialist for their Business Messaging Platform and AI capabilities in EMEA. The role involves direct sales, prospecting, solutions selling, and technical architecture design to help clients leverage AI for customer engagement and an agentic future. The specialist will work with mid and large-sized clients, focusing on SaaS solutions and consultative sales in a revenue-oriented role. Responsibilities include identifying and designing technical solutions, bringing in engineering resources, demonstrating value propositions, building client relationships, and working with cross-functional teams to scale client-facing activities. Qualifications include extensive enterprise sales experience, executive presence, experience in leading sales cycles, analytical skills, and demonstrated AI skill development in areas like prompt engineering and agent orchestration, along with experience in ethical AI practices. | — | 5 |
| Messaging Policy Manager This role focuses on developing and executing policy strategies for Meta's private messaging services, including privacy, data protection, and end-to-end encryption. It involves cross-functional collaboration with various teams and external stakeholders. While the role requires understanding and integrating AI tools for workflow optimization and adhering to ethical AI practices, its core function is policy management, not direct AI/ML development. |
| — |
| 5 |