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 Research Scientist at Meta focused on advancing multi-modal understanding by developing models and systems that reason across text, images, video, and audio, with the goal of impacting products used by billions. | PretrainPost-train | 10 |
| Research Scientist, Multi-Modal Research Scientist focused on advancing state-of-the-art multi-modal models that integrate vision, language, audio, and other modalities. The role involves researching novel architectures and training methods for cross-modal reasoning, designing interactive experiences, and publishing findings. Requires a PhD and experience in multi-modal learning, PyTorch/TensorFlow, transformer architectures, and large-scale model training, with a strong publication record. |
| PretrainPost-train |
| 10 |
| AI Research Scientist, VLM (vision language models) Meta is seeking an AI Research Scientist focused on Vision-Language Models (VLMs) to push the state of the art in multimodal reasoning and generation. The role involves leading research, contributing to experiments, publications, and open-sourcing efforts, with a focus on applying research to Meta's products. Requires a PhD in AI or related fields, strong publication record, and expertise in Python and PyTorch. | PretrainPost-train | 10 |
| Research Scientist, FAIR SGT - New York Research Scientist at Meta's FAIR focused on fundamental advancements in generative models and LLMs, including data efficiency and continual learning. The role involves research, engineering, and deployment for both product and frontier models, with a requirement for publications at top AI conferences and experience with foundation models. | PretrainPost-train | 10 |
| AI Research Scientist - Meta Superintelligence Labs Research Scientist at Meta Superintelligence Labs focused on foundational modeling and advancing the state of the art in speech and audio LLMs, including contextual ASR, TTS, and speech-to-speech capabilities. Requires a strong publication record and experience with post-training and evaluation of LLMs, including RL techniques. | PretrainPost-train | 10 |
| AI Research Scientist, Audio-Visual Understanding, FAIR Research Scientist in FAIR focused on advancing AI science and developing technology towards superintelligence. The role involves developing joint audio-visual understanding systems, building and evaluating audiovisual language models for social interactions, and contributing to benchmarks. Requires a PhD and research experience in ML/AI, with a focus on computer vision, speech, and multimodal learning for embodied conversational agents. | PretrainPost-train | 10 |
| Research Scientist Intern, FAIR - Language & Multimodal Foundations (PhD) Research intern at Meta's FAIR focusing on fundamental AI research in language and multimodal foundations, aiming to make core algorithmic advances and apply them at scale. The role involves research in NLP, audio, speech, computer vision, ML, deep learning, and RL, with opportunities for publication. | PretrainPost-train | 10 |
| AI Research Scientist, VLM (vision language models) AI Research Scientist focused on Vision-Language Models (VLMs) at Meta, pushing the state-of-the-art in multimodal reasoning and generation. The role involves long-term research, experimental execution, publication, and potential application to Meta's products. Requires a PhD and strong publication record in relevant AI conferences. | PretrainPost-train | 10 |
| Research Scientist Research Scientist at Meta Reality Labs focusing on multi-modal AI research, integrating vision, language, audio, and sensor data to build next-generation AI-powered interactions. The role involves leading research projects, developing and optimizing multi-modal models, and transitioning research into production with a focus on cross-modal alignment and fusion. | PretrainPost-train | 9 |
| Visiting Faculty, AI and Systems Co-design Team Research role focused on AI hardware, software, and algorithms, aiming to shape Meta's AI strategy through pathfinding research and external publication. | Pretrain | 9 |
| AI Research Scientist (Technical Leadership), Multimodal - Monetization GenAI Meta is seeking an AI Research Scientist to lead research and development of generative AI for video and multimodal understanding within their advertising pillar. The role focuses on creating foundation models for video generation, editing, audio generation, and visual search, with a strong emphasis on research publications and industry influence. | PretrainPost-train | 9 |
| AI Research Engineer, FAIR Chemistry This role is for an AI Researcher focused on advancing the state-of-the-art in AI for chemistry and materials science, with a specific focus on modeling complex battery and electrolyte chemistries. The role involves fundamental and exploratory research, developing new datasets and models, and contributing to the understanding of intelligence and technology towards advanced machine intelligence. The researcher will publish their findings, open-source code, and enhance existing AI models for scientific applications. | Pretrain | 9 |
| AI Research Engineer, Media - Meta Superintelligence Labs AI Research Engineer focused on multimodal foundation models for image and video understanding, generation, and narrative creation. The role involves contributing to training, data curation, and research to advance state-of-the-art capabilities for consumer-facing products. | PretrainPost-train | 9 |
| Research Scientist Intern PhD, Applied Research Research Scientist Intern PhD, Applied Research at Meta, focusing on developing novel state-of-the-art generative AI algorithms and systems, advancing intelligent machine science, and applying research at scale. Requires a PhD in a relevant technical field and experience in machine learning, deep learning, computer vision, and/or NLP. | Pretrain | 9 |
| Research Scientist Intern, Monetization Generative AI - LLM (PhD) Meta is seeking a PhD Research Scientist Intern to advance AI research in areas like deep learning, NLP, speech, and computer vision, with a focus on Large Language Models and multimodal inputs. The intern will perform research, develop algorithms, analyze systems, and collaborate on projects with the potential for product application, aiming to publish research findings. | Pretrain | 9 |