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 121 active AI roles, up 55% versus the prior 4 weeks. Primary focus: Ship · Research.
Meta currently has 136 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 (23%), 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 (108 roles), United Kingdom (9 roles), France (7 roles), Singapore (6 roles).
Job postings at Meta most frequently mention: Machine Learning, Large Language Models (LLMs), Robotics, Agentic Systems, Generative AI.
In the past 30 days, Meta has posted 67 new AI-related roles. That is a +103% change versus the prior 30 days (33 → 67).
| Title | Stage | AI score |
|---|---|---|
| Product Manager (Leadership) Meta is seeking an entrepreneurial Product Management Leader to drive AI transformation across their consumer products. This role involves setting vision and strategy, leading cross-functional teams, and executing AI-native product initiatives. The leader will critically evaluate AI solutions, translate AI capabilities into product visions, champion AI strategies including evals and data strategies, and scale AI best practices across the organization. Responsibilities include defining product requirements, orchestrating complex execution, using AI-enabled tools to build products, and designing sophisticated experiments and evaluations for AI-powered experiences. | Ship | 8 |
| Product Manager Product Manager for AI-powered enterprise experiences in APAC, focusing on automation, personalization, and workflow optimization. Responsibilities include roadmap definition, go-to-market strategy, scaling AI best practices, and cross-functional collaboration. Requires experience in AI/ML product leadership, shipping enterprise AI products, AI-native strategies, and responsible AI. |
| Ship |
| 7 |
| Director, Product Management - APAC Products Director of Product Management for APAC Products at Meta, leading AI transformation initiatives. This role focuses on redesigning product development workflows for speed and efficiency using AI, setting AI-native strategies, and scaling AI best practices across teams. Responsibilities include defining product vision, leading cross-functional teams, orchestrating complex execution with AI automation, and establishing AI evals as a core practice. Requires extensive experience in product leadership, managing global-scale projects, and integrating AI tools responsibly into product development and workflows. | Ship | 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 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 |