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 |
| 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. | Pretrain | 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 |
| Research Scientist, Artificial Intelligence Research Scientist role at Meta's FAIR focused on advancing AI and agentic systems through frontier research, large-scale model training, and open-source contributions. Requires a PhD and a strong publication record. | PretrainAgent | 10 |
| Tech Lead, AI Research Scientist (Robotics) AI Research Scientist focused on robotics and embodied AI, pushing the frontiers of intelligence for embodied agents. The role involves fundamental and applied research, developing novel data-driven paradigms, and creating algorithms based on state-of-the-art machine learning. | ShipData | 10 |
| 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, Robotics Research Scientist focused on embodied AI and robotics, developing novel data-driven paradigms and algorithms leveraging various modalities and machine learning techniques for both simulation and real-world robots. The role involves pushing the frontiers of AI in robotics, with a strong emphasis on producing open science and publications. | AgentData | 10 |
| Research Scientist – World Models, Robotics & Embodied AI Research Scientist role focused on developing AI and robotics technology, specifically Generative World Models for robotic agents to perceive, understand, reason about, and interact with the world. The role involves algorithm development for predictive world modeling, active perception, and robotic interaction, spanning from foundational models to action in the physical world. | AgentData | 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 |
| Fundamental AI Researcher - FAIR Research role focused on advancing the state-of-the-art in AI, particularly in reasoning, alignment, and memory. The role involves fundamental and exploratory research, developing learning algorithms, and contributing to the scientific understanding of intelligence and advanced machine intelligence. | Pretrain | 10 |
| Research Scientist - FAIR Research Scientist role focused on Developmental AI (DevAI), aiming to build AI agents that learn autonomously from few samples of real-world data and interactions, similar to children. The role involves designing algorithms for robustness and sample efficiency, building datasets/simulators, and developing benchmarks. Emphasis on grounded language, communication, and multimodal modeling, with a goal of publishing groundbreaking papers and releasing open-source frameworks. The research intersects AI with the study of natural intelligence. | PretrainAgent | 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 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 |
| AI Research Scientist, FAIR | Chercheur(se) en IA, FAIR Research Scientist role at Meta's FAIR team focusing on building world models from video for embodied and wearable agents, advancing research in self-supervised learning, predictive models, and model-based reinforcement learning. The role involves pushing the state of the art, publishing research, and developing efficient, scalable models. | Pretrain | 10 |
| Postdoctoral Researcher, Fundamental AI Research (PhD) Postdoctoral Researcher in Fundamental AI Research (FAIR) at Meta, focusing on cutting-edge research in AI/ML, deep learning, NLP, computer vision, and generative modeling, with a goal of understanding intelligence and achieving advanced machine intelligence. The role involves experimental design, code development, evaluations, publications, and contributing to Meta's product development. | Pretrain | 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, Computer Vision Research Scientist role focused on advancing AI, specifically in vision models, 3D reconstruction, and generation, with the goal of building spatial and physically-aware AI for future human-computer interaction paradigms. The role involves conducting research, building and optimizing models, and working with large datasets. | Pretrain | 10 |
| Research Scientist, FAIR Research Scientist at Meta's FAIR focusing 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 model efforts. | Pretrain | 10 |
| AI Research Scientist - FAIR Social Intelligence Research Scientist to contribute to Social Intelligence within complex multi-agent ecosystems, bridging centrally orchestrated multi-agent systems and social reasoning paradigms. Drive research focused on enabling autonomous agents to navigate the 'coordination bottleneck' through the development of Theory of Mind (ToM), intent modeling, and emergent social behaviors. Synthesize principles from reinforcement learning, game theory, and behavioral science to make agents capable of sophisticated alignment, ensuring ethical operation within human-centric environments. | Agent | 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 |
| 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, 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 |
| AI Research Scientist, Media Data Research - MSL FAIR AI Research Scientist focused on building the data foundation for Meta's advanced Large Language and Media Models. The role involves working with trillion-scale data, including organic and synthetic data generation, agent data, and frontier paradigms across pre-training, mid-training, and post-training stages. Expertise in multimodal data (image, video, agent) and collaboration with cross-functional teams are key. | DataPost-train | 10 |
| AI Research Scientist, Text Data Research - MSL FAIR AI Research Scientist focused on building the data foundation for Meta's advanced Large Language Models, contributing to data curation across pre-training, mid-training, and post-training stages, and exploring frontier paradigms for data at scale. | DataPost-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 |
| 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 |
| Software Engineer, Systems ML Software Engineer specializing in Systems Machine Learning to design and build infrastructure for large-scale AI systems, focusing on training efficiency, model serving, distributed computation, and hardware-software co-design. The role involves translating ML research into production systems and optimizing performance at scale. | ServePost-train | 9 |
| 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, AI & Systems Co-design (PhD) Research Scientist focused on co-designing AI hardware and software systems for datacenter scale, optimizing models, runtime, and hardware for performance and efficiency in Generative AI and Recommendations. The role involves exploration, prototyping, and assisting in productionization, with a strong emphasis on research publications and influencing future AI hardware roadmaps. | ServePretrain | 9 |
| AI Research Scientist - Language - Meta AI (MRS) AI Research Scientist focused on advancing large language model research for recommendation systems and generative AI applications within Meta's consumer products (Facebook, Instagram, Threads). | Pretrain | 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 |
| 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 |
| Postdoctoral Researcher, AI and Systems Co-design Team Postdoctoral Researcher focused on AI hardware, software, and algorithms, aiming to advance AI infrastructure and address scalability bottlenecks. The role involves conducting state-of-the-art research, publishing in leading venues, and contributing to Meta's research product development. | Serve | 9 |
| Research Scientist, HW/SW Co-Design (PhD) Research Scientist focused on hardware-software co-design for custom AI accelerators at datacenter scale. This role involves optimizing AI models and kernels for Meta's silicon, building performance models, and influencing the hardware roadmap. The work spans exploration to assisting productization, with a strong emphasis on research publication. | ServePretrain | 9 |
| Research Scientist, Post-Training (Tech Leadership)- Meta Superintelligence Labs Research Scientist role focused on designing, generating, and curating post-training data (SFT, RLHF) to align and enhance frontier AI systems. The role involves developing and optimizing post-training recipes, defining data quality frameworks, and influencing research direction for complex reasoning and agentic tasks. Requires a PhD and publication record in ML research. | Post-trainAgent | 9 |
| Research Scientist Intern, Multimodal AI (PhD) Research Scientist Intern focused on multimodal AI, specifically in audio and visual learning for AR/VR applications. The role involves designing evaluation protocols for LLMs, developing datasets, analyzing model performance, and creating novel algorithms for audio research problems. Collaboration with AI product teams and dissemination of findings are key. | Post-trainAgent | 9 |
| AI Research Scientist — Agentic AI for Materials Discovery Research Scientist role focused on designing and building LLM-orchestrated multi-agent systems for autonomous materials discovery pipelines. This involves integrating agentic AI with computational tools, developing RAG systems, and collaborating with domain experts to accelerate discovery timelines. The role contributes to both production systems and published research. | Agent | 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 |
| Research Assistant (PhD) Meta's FAIR lab is seeking PhD candidates for 3-year fixed-term contracts to conduct fundamental AI research in areas like foundational models, LLMs, deep learning, computer vision, audio/speech, NLP, RL, and applied math. The work is expected to be open science and open source, with joint supervision from Meta and academic partners. | Pretrain | 9 |
| Software Engineer, AI Specialist - Monetization (Technical Leadership) Seeking a distinguished Software Engineer with deep AI specialization to drive transformative technical initiatives across Meta's AI-powered products and platforms. The role involves defining and leading the architectural direction of large-scale AI systems, including foundation models, intelligent ranking and recommendation infrastructure, and applied machine learning pipelines. The engineer will identify and solve complex AI engineering challenges, set technical standards, and leverage AI to unlock new capabilities. This leadership role operates at the intersection of AI research and production-scale engineering, shaping both systems and culture. | ServeAgent | 9 |
| Research Engineer, Evaluations (Tech Leadership) - Meta Superintelligence Labs Research Engineer role focused on building and curating benchmarks and evaluation environments for advanced AI models (text, vision, audio) within Meta Superintelligence Labs. This role directly impacts AI progress and model development by defining capabilities and ensuring quality and reliability. | Eval GatePost-train | 9 |
| Research Engineer (Technical Leadership), FAIR Data - Meta Superintelligence Labs Research Engineers at Meta Superintelligence Labs (FAIR) are responsible for building the data foundation for advanced Large Language and Media Models. This includes data curation across pre-training, mid-training, and post-training stages, focusing on challenges at trillion-scale such as organic and synthetic data generation, agent data, and frontier paradigms. The role involves architecting scalable data systems, improving data velocity, and applying expertise in various data modalities and domains. | DataPost-train | 9 |
| Research Engineer, Preparedness - Meta Superintelligence Labs Research Engineer role focused on evaluating frontier AI systems and risks, developing and refining evaluations for multimodal and agentic models, and producing technical artifacts to inform risk assessments and launch decisions. Requires strong ML engineering and research skills, experience with agentic and multimodal models, and understanding of AI safety and threat models. | Eval GateAgent | 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 |
