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 Engineer Meta is seeking a Research Engineer to work on frontier AI and real-world product impact within Facebook's ecosystem. The role involves building post-training, evaluation, and serving systems for LLMs, developing an agentic platform, optimizing systems through fine-tuning, and adapting these across Meta's products. The position offers end-to-end ownership, the opportunity to work on unsolved research questions with product consequences, and high autonomy in shaping technical direction for GenAI products used by billions. | 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 Scientist, SysML - FAIR Research Engineer role focused on advancing the field of AI by making fundamental advances in systems and infrastructure for large-scale machine learning, with a focus on enabling distributed training, resource efficiency, and hardware-software co-design. The role involves cutting-edge research, publishing results, and impacting Meta's product development. | PretrainServe | 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 designing and developing novel benchmarks and evaluation methodologies for frontier AI capabilities within Meta Superintelligence Labs (MSL). The role involves measuring and understanding AI capabilities, influencing research direction, and collaborating with researchers and technical leadership. Requires a strong publication record and experience in machine learning research, particularly in evaluation and deep learning. | Eval GatePost-train | 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 |
| AI Research Scientist, CoreML - Monetization AI AI Research Scientist focused on advancing AI/ML for Monetization Ranking, developing large-scale models, sequence learning, generative models, graph-aware LLMs, AutoML, RL techniques (including RLHF), and causal learning. The role involves optimizing ML systems with hardware-software co-design and various data-related techniques like semi/self-supervised learning and continual learning. | Post-trainData | 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 Engineer - AI Trust - Meta Superintelligence Labs Research Engineer focused on AI safety for large language and multimodal models, involving designing, implementing, and evaluating safety techniques, curating datasets, fine-tuning models, and building scalable infrastructure for safety evaluation and mitigation. Requires experience with LLM training, fine-tuning, evaluation, and safety research, along with Python and PyTorch. | Post-trainEval Gate | 9 |
| AI Research Scientist - Safety Alignment Team AI Research Scientist focused on safety alignment for large language models and multimodal AI systems. Responsibilities include designing, implementing, and evaluating novel safety techniques, curating datasets, fine-tuning LLMs for safety policies, and building infrastructure for evaluation and mitigation. Requires a PhD, 3+ years of research experience, publication record, Python/PyTorch proficiency, and experience with RL techniques for LLM fine-tuning. | Post-trainEval Gate | 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, Media Data Research - MSL FAIR Research Engineer role focused on building data foundations for Meta's advanced LLMs and LMMs, contributing to data curation across pre-training, mid-training, and post-training stages for various modalities. The role involves architecting scalable data systems, generating synthetic data, and working with trillion-scale datasets. | 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 |
| Research Scientist Manager, MetaAI Assistant Measurement Research Scientist Manager to lead a team focused on measurement and evaluation of AI Assistants powered by foundation models. The role involves defining scientific strategy for evaluation, ensuring methodological rigor, and collaborating with product, engineering, and training teams to ensure reliability and trustworthiness at scale. | Eval GatePost-train | 9 |
| Research Scientist Intern, Computer Vision for Media Research (PhD) Meta is seeking Research Scientist Interns to join the Products and Applied Research team, focusing on advancing generative AI through fundamental research in understanding and interacting with the world. The role involves research in generative AI, deep learning, computer vision, and NLP, with opportunities to make core algorithmic advances and apply ideas at scale, publishing research results for product development. | Post-trainPretrain | 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 |
| Research Scientist Intern, Robotic Control Policy (PhD) Research Scientist Intern focused on developing ML-powered robotic control policies for manipulation and teleoperation, involving data collection, training models (RL, IL, LBMs), and benchmarking algorithms. | DataPost-train | 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 Engineer, Computer Vision Research Engineer focused on Multi-Modal Understanding, developing algorithms that integrate computer vision with language, audio, and sensor data. Drives curation of multi-modal datasets and annotation pipelines, bringing innovative solutions to production for immersive applications. | Post-trainData | 8 |
| Software Engineer, AI Native Development Staff Software Engineer to lead the next generation of AI-native software development practices at Meta. This role involves building systems, tools, and workflows that integrate LLMs and generative AI into the software development lifecycle, from code generation to debugging and product delivery. The engineer will serve as a technical leader, shaping how Meta engineers leverage AI for broader scope, faster iteration, and higher quality outcomes. | AgentServe | 8 |
| Business Support Engineer This role focuses on providing engineering support for Meta's Business Agent, which uses AI to enhance business productivity and customer experiences. The engineer will work with partners to integrate AI-driven solutions, troubleshoot distributed systems, and leverage AI tools for efficiency. Key responsibilities include building and optimizing AI solutions with LLMs, developing monitoring systems, and collaborating with cross-functional teams. The role requires experience with LLMs, AI agents, API development, and distributed systems, with an emphasis on responsible AI practices and continuous AI skill development. | AgentServe | 8 |
| Business Support Engineer This role focuses on supporting Meta's Business Agent by integrating AI-driven solutions for partners, building and optimizing AI architectures using LLMs, and managing the full lifecycle from prototype to production. It involves troubleshooting, performance monitoring, and influencing the product roadmap with a focus on AI tools and ethical AI practices. | AgentServe | 8 |
| Business Support Engineer - Meta Business Agents This role focuses on building, launching, and optimizing AI solutions, specifically using LLMs and AI agents, for business partners. It involves end-to-end ownership from prototype to production, including fine-tuning and optimization of models, and integrating AI tools to improve workflows. The role also requires supporting partners with distributed systems and API troubleshooting, and contributing to the product's strategic roadmap. | AgentPost-train | 8 |
| Business Support Engineer Meta is seeking a Business Support Engineer to play a pivotal role in supporting partners in bringing AI-driven solutions to their service offerings. The role involves architecting troubleshooting methodologies, leading AI-native technical strategy, building and optimizing AI architectures using LLMs, and providing 24/7 on-call support. The engineer will also influence product roadmaps, set technical communication standards, and manage cross-functional programs with a focus on continuous AI/ML learning. | AgentServe | 8 |
| Partner Engineer, Generative AI Integration and Distribution Partner Engineer focused on enabling strategic partners to integrate and distribute Meta's generative AI products and platforms. This role involves technical leadership, solution design, shipping production code, and building strong partner relationships within the AI developer ecosystem. | Ship | 8 |
| 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 |
| Member of Product Staff Meta's Instagram is seeking a Member of Product Staff to drive product strategy and execution for consumer products, leveraging AI tools to enhance velocity and build AI-native experiences. This role involves setting vision, collaborating with cross-functional teams, and ensuring rigorous evaluation of AI solutions. | Ship | 8 |
| Research Scientist Intern, Audio Quality with AI (PhD) Research Scientist Intern focused on speech perception and audio quality, investigating phonemic errors and their link to human judgments using multimodal LLMs as a tool. The role involves dataset curation, model comparison, and relating findings to perceptual data. | Post-train | 8 |
| Staff Software Specialist - AI - Monetisation Meta's Core Ads Quality team is seeking a Staff Software Specialist to work on AI and ML problems at scale, focusing on optimizing the trade-off between ad quality and revenue. The role involves developing novel AI algorithms and systems, improving user experience with ads, and leading projects with significant business impact. Experience with foundation models, ML infrastructure, and user behavior modeling is required. | Ship | 8 |
| Research Engineer Robotics (Systems) Meta's Reality Labs Research is seeking a Staff Research Engineer to lead the end-to-end technical architecture for dexterous robotic manipulation systems. This role involves integrating perception, planning, and control, deploying learned control policies (including imitation learning and reinforcement learning), and building infrastructure for data capture and processing. The engineer will optimize system performance, set technical direction, and mentor other engineers, bridging the gap between research and production in robotics. | ShipData | 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 |
| Partner Engineer, Generative AI Partner Engineer focused on Generative AI, specifically working with strategic partners and cloud providers to build and launch AI product services and experiences using Meta's Llama LLMs. The role involves taking LLMs from research to production, developing technical accelerators, evangelizing Meta's AI, and optimizing models for performance and scalability. Requires strong software development skills, experience with deep learning frameworks, and cloud solutions. | ShipPost-train | 8 |
| Product Operations Manager, AI Implementations - WhatsApp Product Operations Manager for WhatsApp AI Implementations, focusing on driving product quality and operational excellence through AI-powered automation and autonomous agents. The role involves building and operating AI agents for workflows like triage and bug resolution, investigating product quality, and partnering with engineering teams to improve processes and tooling. It also includes building an AI evaluation practice and ensuring AI workflows comply with data sensitivity guardrails. | AgentEval Gate | 8 |
| AI/HPC System Performance Engineer Meta is seeking an AI/HPC System Performance Engineer to optimize the performance of large-scale AI training and inference clusters. This role involves profiling, bottleneck analysis, and developing performance frameworks, with a focus on network infrastructure and distributed computing for frontier AI model development. The engineer will collaborate with various teams, build tooling, and mentor others, while also leveraging AI-assisted workflows. | ServeAgent | 8 |
| Product Manager, Leadership Meta is seeking an entrepreneurial Product Management Leader to drive AI transformation across their organizations. This role involves shaping long-term opportunities, setting vision and strategy, and translating AI capabilities into product visions. The leader will drive product development with cross-functional teams, orchestrate complex execution using AI automation, and define and run evaluations for AI-powered experiences. The role requires experience building 0-1 AI-native products and scaling AI best practices across organizations. | Ship | 8 |
| Machine Learning Engineer Machine Learning Engineer at Meta in Tel Aviv, focused on building the next generation financial identity platform using Graph foundation models and delivering ML applications for financial identity signals. | DataPost-train | 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 |
| Product Manager (Leadership) Meta is seeking an entrepreneurial Product Management Leader to drive AI transformation across their consumer products. This role involves setting vision and strategy, leading cross-functional teams, and executing AI-native product initiatives. The leader will critically evaluate AI solutions, translate AI capabilities into product visions, champion AI strategies including evals and data strategies, and scale AI best practices across the organization. Responsibilities include defining product requirements, orchestrating complex execution, using AI-enabled tools to build products, and designing sophisticated experiments and evaluations for AI-powered experiences. | Ship | 8 |
| QA Engineering Lead, AI Native Lead QA Engineering for AI-powered products at Meta, focusing on testing text, image, and voice models. Develop and execute test strategies, including prompt engineering, scenario-based, and adversarial testing, ensuring robustness, reliability, and ethical standards. Collaborate with AI/ML teams, leverage AI tools for QA workflows, and drive quality for billions of users. | ShipPost-train | 8 |