Currently tracking 121 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 136 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 (23%), 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 (108 roles), United Kingdom (9 roles), France (7 roles), Singapore (6 roles).
Job postings at Meta most frequently mention: Machine Learning, Large Language Models (LLMs), Robotics, Agentic Systems, Generative AI.
In the past 30 days, Meta has posted 67 new AI-related roles. That is a +103% change versus the prior 30 days (33 → 67).
| Title | Stage | AI score |
|---|---|---|
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| Research Scientist Intern, Optimization, Privacy and Inference (PhD) Research Scientist Intern role focused on optimization, privacy, and inference within Meta's Central Applied Science team. The internship involves improving Meta's products and infrastructure through scientific research, developing new methodologies, and potentially shipping advancements or authoring papers. Requires a PhD in a related technical field and expertise in empirical research and ML frameworks. | Pretrain | 8 |
| Research Scientist Research Scientist at Meta focused on developing and implementing novel quantitative and machine learning methods to answer product questions and generate insights. The role involves working with large datasets, applying advanced ML techniques like Bayesian modeling, reinforcement learning, and causal inference, and optimizing neural network models. The scientist will also draft software from scratch to implement these methods and collaborate with cross-functional teams. | Post-train | 8 |
| Creative Coder Creative Coder role focused on developing advanced audio systems, prototypes, and pipelines, with a strong emphasis on integrating AI and agentic behavior into audio experiences. The role involves supporting AI Audio teams, implementing models, building prototypes, and leveraging code as a design medium to bridge product goals and engineering implementation, particularly in AR/VR and immersive environments. | AgentData | 8 |
| Product Manager, Central Products Product Manager to drive AI transformation at scale, evaluating AI solutions, championing AI-native strategies, and scaling AI best practices. Responsibilities include defining product vision, driving development with cross-functional teams, orchestrating execution with AI automation, and defining/running evaluations for AI-powered experiences. Requires experience building AI-native products and integrating AI tools to optimize workflows, with a focus on responsible AI practices and ongoing AI skill development. | ShipAgent | 8 |
| Software Engineer, AI Native Software Engineer focused on building and integrating AI-native features, particularly generative AI and LLMs, into user-facing products. This role involves prompt engineering, RAG implementation, agentic workflow design, and ensuring quality and responsible AI practices for AI-driven experiences. | AgentServe | 8 |
| Software Engineer, AI Native Software Engineer focused on building and integrating AI-native features, LLMs, generative AI, and agentic workflows into user-facing products. Responsibilities include prompt engineering, RAG implementation, agent development, and ensuring quality and scalability of AI-driven experiences. | AgentServe | 8 |
| Software Engineer, AI Native Software Engineer focused on building and integrating AI-native and generative AI features into user-facing products. Responsibilities include prompt engineering, RAG implementation, developing agentic workflows, and ensuring quality and reliability of AI-driven experiences. Requires experience with AI/ML techniques, agent design, and responsible AI practices. | AgentServe | 8 |
| Research Engineer, Monetization AI Research Engineer focused on advancing AI, ML, and RecSys technologies for personalized ads, aiming to maximize user utility and advertiser value. The role involves developing and implementing large-scale model architectures, sequence learning techniques, and generative modeling solutions for data augmentation, with a focus on integrating these into production systems that drive significant revenue. | ShipPost-train | 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 |
| Software Engineer, SystemML - AI Networking Software Engineer focused on the AI Networking stack, specifically the NCCL library, which is critical for large-scale multi-GPU distributed ML training and inference. The role involves improving the reliability and performance of this communication layer for GenAI/LLM workloads. | ServePost-train | 8 |
| Software Engineer - AI SysML (Technical Leadership) Meta is looking for an AI Software Engineer to join their R&D teams, focusing on AI Infrastructure and ML Systems. The role involves applying machine learning techniques to optimize intelligent systems, developing custom architectures, defining use cases, and evaluating approaches. The candidate will also drive technical direction, collaborate with leaders, and mentor engineers. Experience in ML systems, AI algorithms, distributed systems, and responsible AI practices is required, with a preference for C/C++ or Python development. | Serve | 8 |
| Software Engineer, SystemML - Scaling / Performance Meta's Network.AI team is seeking Software Engineers to enhance the NCCL software stack, crucial for multi-GPU and multi-node distributed ML training. The role focuses on improving the reliability and performance of large-scale AI/GPU communication for Meta-wide ML products, particularly for GenAI/LLM training and inference. | ServePost-train | 8 |
| Product Manager, Machine Learning Product Manager with Machine Learning expertise to drive product vision, strategies, and roadmaps for large-scale consumer AI products, focusing on full product lifecycle, customer feedback integration, and ethical AI practices. | Ship | 8 |
| Software Engineer, Systems ML Software Engineer focused on AI infrastructure and hardware acceleration for ML systems, optimizing performance and efficiency for Meta's products. Involves C/C++/Python development, distributed systems, and potentially on-device algorithms. Requires technical leadership and experience with ML frameworks and hardware architectures. | Serve | 8 |
| Software Engineer, Systems ML Software Engineer focused on AI Infrastructure, optimizing ML systems and hardware acceleration for Meta's products. Responsibilities include system design, data-driven analysis, cross-team collaboration, and mentoring. Requires expertise in ML infrastructure, C++/Python, distributed systems, and ethical AI practices. | Serve | 8 |
| Hardware Systems Engineer, NPI AI Hardware Systems Engineer to support the new product introduction (NPI) of next-generation AI and high-performance computing infrastructure for large-scale data center deployments. Role involves validating and scaling cutting-edge AI hardware systems from early bring-up through production readiness, working at the intersection of AI silicon, server systems, and data center operations. | Serve | 7 |
| Escalations Manager, Global Response Operations This role focuses on managing high-priority escalations where AI reaches its limits, requiring expert human judgment. The individual will design and evaluate AI-assisted workflows, translate human expertise into encodable logic for AI systems, and critically assess AI outputs to improve system performance. The role involves orchestrating human and AI collaboration, identifying AI failures, and contributing to the operational improvement of AI systems. | AgentEval Gate | 7 |
| Lead, Product Content Engineering Meta is seeking a Lead, Product Content Engineering to manage a team focused on evaluating and improving AI content experiences. This role involves developing strategies for LLM evaluation, leading a team of content engineers, driving sprints for LLM evaluations and tooling, and collaborating with cross-functional teams to align AI behaviors with user expectations. The position requires experience with GenAI products, prompt engineering, content evaluation, and working with ranking systems, with a focus on delivering business impact at scale in a dynamic environment. | Eval Gate | 7 |
| Director, Technical Program Management (Ranking AI) Director, Technical Program Management for Ranking AI within Meta's Monetization group, focusing on Recommendation Systems AI for Ads. The role involves leading the technical execution strategy, defining long-term strategy, developing end-to-end program plans, managing and growing TPM teams, and ensuring successful program delivery. Requires a strong background in the full ML lifecycle, scaling AI-powered projects, and integrating AI tools responsibly. | Ship | 7 |