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 |
|---|---|---|
| Postdoctoral Researcher (PhD) - FAIR - Core Learning Postdoctoral researcher focused on fundamental research in generative models and LLMs, including data efficiency and continual learning. The role involves research, engineering, and deployment for both product and frontier model efforts. | PretrainPost-train | 10 |
| Staff Research Scientist, FAIR (RL / LLM's) Research Scientist role focused on advancing AI research, particularly in ML theory, responsible AI, reinforcement learning, computer vision, audio, and NLP. The role involves performing research, enabling learning semantics from various data modalities, working towards long-term goals, influencing research communities through publications, and open-sourcing code. |
| 10 |
| Research Engineer - FAIR, SGT Research Engineer role at Meta's FAIR focused on advancing large language models, involving research, engineering, optimization, and deployment of both product and frontier models. Requires innovation, execution of research, experimental design, implementation, evaluation, and collaboration with cross-functional teams. Experience in building LLM systems at scale and publications in top-tier venues are essential. | PretrainPost-train | 10 |
| Research Scientist, FAIR SGT - Paris Research Scientist role at Meta's FAIR in Paris focusing on fundamental research in generative models and LLMs, including data efficiency and continual learning. The role involves innovation, leading research, experimental design, implementation, evaluation, and publication. | Pretrain | 10 |
| Research Scientist, AI, Formal and informal Reasoning Research Scientist at Meta's FAIR organization focusing on advancing LLM reasoning capabilities through reinforcement learning, synthetic data generation, and agentic techniques, with a specialization in formal and informal mathematical reasoning. The role involves leading research, contributing to experiments, publications, and open-sourcing efforts. | PretrainPost-train | 10 |
| Research Scientist, AI Research (PhD) Research Scientist focused on deep learning for memory in neural networks, applicable to personalization, lifelong learning, and large contexts. The role involves advancing state-of-the-art in architecture and memory, collaborating globally, and requires a PhD with publications in ML/DL, robotics, LLMs, or computer vision, and strong Python/C++ skills with PyTorch/TensorFlow. | Pretrain | 10 |
| Research Scientist, Machine Learning Meta is seeking a Research Scientist to join its AI research organization, focused on advancing core machine learning methods that power Meta's products and platforms at scale. In this role, you will conduct applied and foundational ML research with an emphasis on Reinforcement Learning and Large Language Models (LLMs), contributing to systems that serve billions of users. You will collaborate with a multidisciplinary team of researchers and engineers to translate research insights into measurable product impact. | PretrainPost-train | 9 |