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 |
|---|---|---|
| AI Research Scientist —Generative AI for Materials Discovery Research Scientist role focused on applying generative AI, including diffusion models and flow matching, to materials discovery for AR/VR devices and robotics. The role involves developing and deploying models for molecular and crystal structure generation, integrating with AI-driven discovery platforms and collaborating with AI agent scientists. Requires expertise in deep generative models, Python, PyTorch/JAX, and a strong publication record in ML or computational chemistry. | Post-trainAgent | 10 |
| AI Research Scientist, Reinforcement Learning Meta's Fundamental AI Research lab is seeking a Research Scientist to advance physical AI capabilities, focusing on novel post-training paradigms for LLMs using reinforcement learning and integrating large-scale simulation. The role involves research engineering, data manipulation, and simulator integration for applications in robotic hardware, mobile vehicles, and semiconductors. |
| Post-train |
| 10 |
| AI Research Scientist, Video Generation and Post Training, FAIR Research Scientist role focused on video generation and post-training of large-scale multimodal models within Meta's Fundamental AI Research (FAIR) team. The role involves developing generative models, optimizing post-training paradigms, and contributing to frontier models for next-generation AI systems, with a focus on video and media generation. | Post-trainPretrain | 10 |
| Research Scientist Intern, Photorealistic Telepresence (PhD) Research Scientist Intern focused on enabling photorealistic telepresence and autonomous social agents in AR/VR. Projects involve generative AI for image/video synthesis, motion/behavior synthesis, social signal modeling, face/body reconstruction, and multimodal LLMs. Requires PhD candidate in a relevant field with experience in ML for CV/CG, deep learning frameworks, Python, and a proven publication record. | Post-trainAgent | 9 |
| Research Scientist - Reality Labs Research Scientist at Meta Reality Labs focusing on developing and optimizing LLMs for AI-powered neuromotor interactions in wearable devices. The role involves leading research, setting technical direction, and transitioning LLM research into production on constrained hardware, with a focus on knowledge distillation and on-device optimization. | Post-trainServe | 9 |
| AI Research Engineer - Social Products (Technical Leadership) Research Engineer role focused on applying frontier AI, specifically LLMs and multimodal models, to Meta's social products. The role involves building and scaling post-training, evaluation, and serving systems, as well as developing an agentic platform. It emphasizes end-to-end ownership from research to production, impacting billions of users. | Post-trainServe | 9 |
| AI Research Scientist, Robotics Research Scientist role focused on full-stack robotics R&D, leveraging expertise in robot foundation models, tactile sensing, multimodal learning, and robotics systems. The role involves driving technical direction, defining strategy for scaling tactile data, and influencing foundation model development for robotics. Collaboration with robotics researchers, ML engineers, and scientists across the organization is key. Responsibilities include adapting/fine-tuning VLAs, developing scaled tactile/multimodal data strategies, training/fine-tuning foundation models, and representing the team externally. | Post-trainAgent | 9 |
| Research Engineer, Monetization AI Research Engineer focused on Monetization AI, developing and implementing large-scale model architectures, generative modeling, and ML pipelines for recommender systems. Emphasizes training scalability, signal scaling, and responsible AI practices, with a requirement for publications at top AI conferences. | Post-trainAgent | 9 |
| Research Scientist Intern, AI Alignment Research Scientist Intern focused on AI Alignment, developing novel algorithms and systems in deep learning, ML, and AI. The role involves conducting state-of-the-art research, collaborating with researchers, and publishing findings, with opportunities to apply research to Meta products. Requires a Ph.D. in a relevant field and experience with Python/C++ and deep learning frameworks. | Post-train | 9 |
| Research Scientist Intern, Photorealistic Telepresence (PhD) Research Scientist Intern at Meta focused on photorealistic telepresence and autonomous social agents in AR/VR. The role involves generative AI for image/video synthesis, digital human motion, social signal encoding, face/body reconstruction, and multimodal LLMs (speech-to-speech, audio-visual). Requires PhD in a related field, ML experience, deep learning frameworks, Python, and a track record of publications/patents. | Post-trainAgent | 9 |
| Research Engineer, Monetization AI Meta's Monetization Ranking AI Research team is seeking motivated AI specialists to drive SOTA research in AI/ML for personalized ads, focusing on ranking, retrieval, model architecture, and optimization. The role involves developing and implementing large-scale model architectures, sequence learning, generative modeling, graph-aware LLMs, AutoML, and RL techniques. Qualifications include a Bachelor's degree, 2+ years of research experience, Python proficiency, and first-author publications at top AI conferences. Experience taking ideas from research to production and implementing responsible AI practices is also required. | Post-trainPretrain | 9 |
| AI Research Scientist, CoreML - Monetization AI Meta's Monetization Ranking AI Research team is seeking AI Research Scientists to advance AI/ML for personalized ads, focusing on ranking, retrieval, model architecture, and optimization. The role involves developing and implementing large-scale models, generative solutions, RL techniques, and causal learning, with a strong emphasis on research and publications in top-tier AI conferences, and taking ideas from research to production. | Post-trainData | 9 |
| Research Scientist Intern, AI/ML, Core Ads Growth (PhD) Meta is seeking a PhD intern to work on machine learning systems and models for their Core Ads Growth team. The intern will develop scalable classifiers and tools, adapt ML methods for parallel environments, and contribute to building ML systems for Meta's products. The role involves research and development in areas like deep learning, NLP, recommendation systems, and computer vision. | Post-train | 8 |