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 —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 |
| 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 |
| 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 - 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 |
| 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 |
| 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 |
| 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 |
| 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 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 |
| 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 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 |
| 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 |
| Data Scientist, Evaluations - Meta Superintelligence Labs Meta is seeking a Data Scientist for their Superintelligence Labs to lead the design, validation, and analysis of novel AI evaluations and benchmarks. This role focuses on scientific rigor, measuring frontier AI capabilities, and influencing research directions through data-driven insights and publications. | Eval Gate | 9 |
| AI Research Scientist - MSL FAIR Foundations Research Scientist role focused on developing and implementing novel evaluations for frontier AI systems, shaping research direction and model development. Requires strong ML research background, experience with LLM/multimodal evaluation, and publication record. | Eval GatePost-train | 9 |
| Research Engineer - MSL FAIR Foundations Research Engineer role focused on building and curating benchmarks and evaluation environments for advanced AI models (text, vision, audio). The role involves developing novel benchmarks, integrating existing ones, and creating scalable evaluation pipelines and tooling to directly impact research direction and model development. Requires strong ML engineering, Python, PyTorch, and experience with LLM/multimodal evaluation. | Eval Gate | 9 |
| Research Engineer - MSL FAIR Foundations Research Engineer role focused on building and curating benchmarks and evaluation environments for advanced AI models across text, vision, and audio. The role involves developing novel benchmarks, integrating existing ones, and creating scalable evaluation tooling to directly impact research direction and model development. Requires strong ML engineering and research skills, Python proficiency, experience with ML frameworks, and a track record of publications in relevant venues. | Eval GatePost-train | 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 |
| 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 data curation across pre-training, mid-training, and post-training stages, handling trillion-scale data challenges including organic and synthetic data generation, and contributing to frontier paradigms. Collaboration with cross-functional teams and leading complex technical projects are key. | DataPost-train | 9 |
| Research Engineer, Text Data Research - MSL FAIR Meta is seeking AI research engineers to build the data foundation for their advanced LLMs. The role involves working with large-scale data across pre-training, mid-training, and post-training stages, focusing on areas like organic data curation, synthetic data generation, agent data, and frontier paradigms. This position is within Meta Superintelligence Labs (MSL) within FAIR, contributing to models like Llama. | DataPost-train | 9 |
| AI Research Scientist, Robotics Meta is seeking an AI Research Scientist specializing in Robotics to push the frontiers of embodied AI. This role involves inventing and improving data-driven paradigms for robots using various modalities, developing ML/NN algorithms, and building/benchmarking new functionality. The position requires a PhD, extensive experience in robotics research areas, and a proven track record of significant results via publications and patents. | ShipAgent | 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 |
| AI Research Scientist, CoreML - Monetization AI Research Scientist focused on advancing recommender systems by modeling user and ad interactions as generative sequence modeling problems, moving beyond traditional classification methods. The role involves research, algorithmic innovation, and productionizing breakthroughs for Meta's monetization pillar, with a focus on large language models (LLMs) and artificial general intelligence (AGI). | ShipPost-train | 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, 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 |
| 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 |
| AI Research Scientist, Robotics Research Scientist focused on embodied AI and robotics, developing novel data-driven paradigms and algorithms using machine learning and neural networks for both simulated and real-world robots. The role involves pushing the frontiers of AI in robotics, from low-level control to high-level intelligence, and requires experience with various modalities and research areas like reinforcement learning, vision, and LLMs. | AgentData | 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, State Estimation for Dexterous Manipulation (PhD) Research Scientist Intern focused on representation learning for dexterous manipulation in robotics, developing latent space embeddings for object physical state and validating them through experiments. | Data | 8 |
| Visiting Researcher, FAIR (University Grad) Research role focused on defining and establishing foundational data quality standards, task methodologies, and validation frameworks for Computer Use Agent (CUA) data creation, upstream of AI model training. The role involves primary research to set 'gold standard' protocols for data governance and integrity. | Data | 8 |
| Research Engineer, MRS AI Research Engineer role focused on building Meta's User Intelligence Engine for the Recommendation System, integrating Generative AI/LLMs with ranking expertise to deliver personalized experiences. Responsibilities include developing large-scale model architectures, leveraging transfer learning, optimizing training scalability, applying sequence learning, designing generative modeling for data augmentation, and deploying ML pipelines. Requires a Bachelor's degree in a relevant field, ML/deep learning/recommender systems experience, Python/PyTorch proficiency, and exposure to large-scale software patterns. Preferred qualifications include a Master's/PhD, publication record, generative AI/LLM/RecSys experience, and experience with large-scale ML model development. | ShipData | 8 |
| Research Scientist Intern, Machine Perception for Input and Interaction (PhD) Research Scientist Intern at Meta's Reality Labs focusing on machine perception for virtual and augmented reality. The role involves developing algorithms for computer vision, machine learning, and sensor fusion for tracking, action recognition, and 3D representation, with a focus on efficient deep learning and real-time applications. | Data | 8 |
| Research Manager Research Manager at Meta focused on product-focused signal processing and sensor development for novel wearable devices and algorithms. The role involves leading a team of research scientists and engineers to create practical, non-invasive wearable devices using machine learning and statistical signal processing to understand user intent and action. Responsibilities include managing teams, collaborating with cross-functional groups (hardware, ML research/engineering), developing methodologies for signal simulation, improving ML models based on sensor limitations, and fostering a learning environment. | Data | 7 |
| Research Scientist, Wearables AI Research Scientist focused on developing novel wearable sensors and algorithms for neuromotor interfaces and AR systems, aiming to reduce latency between user intent and action. Responsibilities include defining sensor requirements, exploring new sensing architectures, building simulation tools, and simulating biophysical signals. | Data | 7 |
| Research Scientist, Advanced Control Research Scientist role focused on developing advanced control strategies, particularly RL-based, for industrial data center operations to improve efficiency, reliability, and sustainability. The role involves defining roadmaps, leading cross-functional initiatives, and translating operational challenges into deployable solutions. | Agent | 7 |
| Research Scientist Intern, Multimodal Contextual AI (PhD) Research Scientist Intern focused on on-device contextual AI for AR devices, involving computer vision, audio interaction, and LLMs. The role requires building and characterizing experimental HW+SW systems on AR devices, developing embedded firmware, and collaborating across disciplines. Candidates should be pursuing a PhD and have experience with C/C++, Python, ML frameworks, and embedded systems. | Serve | 7 |
| Research Scientist, Demography and Survey Sciences This role is for a quantitative social scientist to join the Demography and Survey Science team, focusing on improving decision-making and impact measurement within Meta. The role involves owning research end-to-end, from project design and methodology to data analysis and communication of results. Candidates should have expertise in statistical inference, survey methodology, causal inference, econometrics, and working with large datasets. While the core of the role is quantitative social science research, there is an expectation to develop AI skills, integrate AI tools into workflows, and adhere to ethical AI practices. | — | 5 |