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 |
|---|---|---|
| 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 |
| Business Engineer, Business AI Business Engineer role focused on applying AI and LLMs to solve real-world business challenges, build next-gen AI products, and deliver scalable production-grade code. The role operates at the intersection of business and AI innovation, similar to a Forward-Deployed Engineer, impacting businesses and consumers globally. It involves designing and building end-to-end systems, GTM automation, and influencing decision-making through data-centric business topics. | Agent | 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, AI/ML, Core Ads Growth (PhD) Meta is seeking a PhD intern to work on machine learning systems and models for their Core Ads Growth team. The intern will develop scalable classifiers and tools, adapt ML methods for parallel environments, and contribute to building ML systems for Meta's products. The role involves research and development in areas like deep learning, NLP, recommendation systems, and computer vision. | Post-train | 8 |
| 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 |
| Software Engineer (Leadership) - Machine Learning Software Engineer (Leadership) role at Meta focused on applying machine learning, data regression, and rules-based models to large-scale social data and prediction problems within the ads product space. The role involves driving technical direction, developing scalable classifiers, adapting ML methods for parallel environments, and shipping products to millions of customers. | Ship | 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 |
| Senior Software Specialist - AI/ML - Monetisation Meta's Core Delivery Products team is seeking a Senior Software Specialist in AI/ML to build and enhance AI/ML products for their ads system, focusing on targeting, bidding, optimization, and user quality. The role involves applying AI/ML techniques to ads auction and user behavior, developing novel algorithms, and bringing research into production for large-scale applications. Responsibilities include contributing to experiments, developing foundation models, and designing infrastructure to advance AI capabilities. Requires experience in Python, PyTorch/C++, bringing research to production, and training/fine-tuning foundation models, with a preference for a PhD and experience in RL, GenAI, LLMs, user behavior modeling, or ads auction theory. | ShipPost-train | 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 |
| Product Manager Product Manager for AI-powered enterprise experiences in APAC, focusing on automation, personalization, and workflow optimization. Responsibilities include roadmap definition, go-to-market strategy, scaling AI best practices, and cross-functional collaboration. Requires experience in AI/ML product leadership, shipping enterprise AI products, AI-native strategies, and responsible AI. | Ship | 7 |
| Computer Vision Engineer, Reality Labs Computer Vision Engineer for Meta's Reality Labs, focusing on AR/VR products. Responsibilities include researching and developing software, computer vision, and machine learning techniques for real-time image processing, 3D graphics, SLAM, scene reconstruction, machine perception, and human interaction. The role involves designing calibration algorithms, collaborating with cross-functional teams, and contributing to engineering best practices. Requires a Bachelor's degree in a relevant field, 3+ years of experience in Computer Vision/Perception for Robotics, C++ engineering, and expertise in areas like Camera Calibration, State Estimation, or 3D Reconstruction. An MS or PhD and a publication track record at top conferences are preferred. | Ship | 7 |
| Business Support Engineer Meta is seeking a Business Support Engineer to support partners in integrating and utilizing AI-driven business solutions, specifically focusing on Llama and other LLMs. The role involves providing engineering support, troubleshooting distributed systems, building and optimizing AI solutions, developing monitoring systems, and collaborating with cross-functional teams. The engineer will also be responsible for creating documentation and coaching peers on AI/ML expertise. | AgentServe | 7 |
| Linguistic Engineer Linguistic Engineer focused on building datasets, pipelines, and models for ML applications within a multimodal assistant product. The role supports ASR/TTS, NLU, NLG, Dialog, LLMs, and Knowledge Graph components, requiring experience with data tools, pipelines, and analytics, as well as programming and text analysis. The position emphasizes multilingual dataset development and evaluation, with opportunities to collaborate directly with ML teams. | DataPost-train | 7 |
| 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 |
| Silicon Engineer | Ingénieur·e en puces This role involves designing and modeling ASIC architectures for AI/ML workloads in data centers, focusing on performance and power efficiency. The engineer will work on developing kernels and tools for these custom silicon products, collaborating with AI/ML and video codec experts. | Serve | 7 |
| Business Support Engineer This role focuses on building, launching, and optimizing AI solutions using LLMs and AI agents, integrating AI tools to improve workflows and support partners. It involves troubleshooting distributed systems, developing monitoring systems, and collaborating with cross-functional teams, with a strong emphasis on applying AI to enhance productivity and customer experiences. | Agent | 7 |
| Energy Integration Manager This role focuses on building the connective tissue within Meta's Energy organization by integrating fragmented data sources, enhancing portfolio health visibility, and applying AI/agentic tooling to automate reporting, flag anomalies, and accelerate procurement decisions. The primary goal is to create a unified, AI-accelerated view of portfolio health to enable faster and more confident energy procurement at scale. | Agent | 7 |
| Technical Program Manager- AI Infrastructure (Ads Ranking) Technical Program Manager (TPM) to lead complex, large-scale programs advancing AI infrastructure and platforms for ad ranking. Focus on optimizing the ML development lifecycle, system reliability, hardware efficiency, and performance at scale. Drive innovation by establishing frameworks for next-generation AI hardware and ML platforms. | ServePost-train | 7 |
| AI Transformation Lead, Hardware Engineering This role leads the AI transformation within hardware engineering for consumer electronics (wearables, AR/VR). It involves defining roadmaps, deploying ML/GenAI into design, simulation, and manufacturing workflows, and bridging the gap between AI research and practical hardware applications. The focus is on accelerating hardware development cycles and improving engineering outcomes through AI integration. | Ship | 7 |
| Data Science Director Director of Data Science to lead analytics for AI-powered Product Marketing and AI-native platforms. Responsibilities include defining the data science operating model, leading a team, owning measurement and experimentation for AI initiatives, and driving evaluation of AI/ML system quality. Requires extensive experience in analytics leadership, causal measurement, team scaling, and influencing strategy. | ShipEval Gate | 7 |
| Product Manager, Business Agents Quality Meta is seeking a Product Manager to own quality for their Business Agents product, a key priority for growing non-ads revenue. The role involves defining quality standards, building measurement and feedback loops, and partnering with various teams to improve agent interactions. The PM will also own the skills platform to expand agent capabilities. This is a horizontal, high-leverage role focused on ensuring AI agents earn trust at scale. | Agent | 7 |
| Technical Program Manager, Core Infrastructure Technical Program Manager to lead large-scale projects focused on advancing language model scaling infrastructure. This role involves collaborating across engineering, hardware, data center, research, and product teams to design, build, and scale foundational hardware and software systems supporting AI innovation. Responsibilities include driving the end-to-end integration of AI hardware and core infra, developing frameworks for onboarding, managing cross-functional dependencies, and streamlining workflows. Requires extensive experience in technical program management, understanding of AI hardware/software development, and knowledge of LLMs and distributed systems. | Serve | 7 |
| Research Engineer, Computer Vision Research Engineer focused on computer vision for novel digital humans and avatars, involving ML pipeline development, data preprocessing, model development, deployment, and optimizations. Requires experience with Python, PyTorch, C++, and Linux environments, with a strong publication record in relevant conferences. | Data | 7 |
| Machine Learning Hardware Architect - Silicon Machine Learning Hardware Architect role focused on designing and optimizing custom silicon accelerators for AR/VR devices. This role involves leading hardware design from architecture to product, collaborating with researchers and software engineers, and contributing to the development of low-power ML accelerators for high-volume consumer products. | Serve | 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 |
| Member of Product Staff Meta is seeking a Member of Product Staff for Instagram to lead product areas, define strategy, and leverage AI tools for product development. The role involves setting strategy, analyzing data, creating design artifacts, and driving product roadmaps with a focus on AI-native product development and responsible AI use. The candidate will evaluate AI solutions, develop AI-native strategies including evals and data strategies, and foster a culture of rapid experimentation with AI. | Ship | 7 |
| Research Engineer Robotics (Operations) Meta Reality Labs Research is seeking an experienced Robotics Operations Engineer to scale their real-robot operations infrastructure. The role involves designing, building, and supporting robotic manipulation stations for data collection, policy deployment, and evaluation. This position bridges research and physical robot results, requiring the development of tools and processes to unblock researchers and scale operations across multiple sites. The role also involves integrating AI tools to optimize workflows and adhering to responsible AI practices. | DataAgent | 7 |
| Linguistic Engineer Meta's Reality Labs is seeking a Linguistic Engineer to build datasets, models, and knowledge for multimodal assistant products, focusing on ASR/TTS, NLU, NLG, Dialog, LLMs, and Knowledge Graph. The role requires experience in data tools, pipelines, analytics, and multilingual dataset development, with a focus on supporting ML systems. | DataPost-train | 7 |
| Design Verification Engineer - Machine Learning Accelerators Meta's Reality Labs is seeking a Design Verification Engineer to work on custom silicon for machine learning accelerators. The role involves developing testing infrastructure to validate new core IP implementations and contributing to the development and optimization of ML algorithms. Responsibilities include defining verification methodologies, implementing test benches, driving verification to closure, and collaborating with cross-functional teams. Requires extensive experience in SystemVerilog/UVM, C/C++, and verification of ML applications and accelerators. | Serve | 7 |
| Technical Program Manager – AI-Generated Media Provenance Technical Program Manager to lead the AI-Generated Media (AIGM) Provenance program, focusing on watermarking, detection, and industry standards (C2PA). The role involves driving cross-organizational alignment, owning technical strategy for provenance infrastructure, navigating regulatory compliance, and representing Meta in industry standards bodies. It operates at the intersection of AI research, media infrastructure, product integration, and global regulation. | AgentServe | 7 |
| Software Engineer, Computer Vision - Video AI Software Engineer focused on Computer Vision and Video AI at Meta, developing advanced video solutions for products like Messenger and AR/VR. The role involves researching and developing AI/ML-based compression algorithms to reduce compute footprint and improve user experience, optimizing video codec efficiency, and defining the video optimization roadmap. Requires experience in computer vision, video codecs, and neural compression techniques. | ServeData | 7 |
| Research Engineer, Robotics Research Engineer to design and build a custom CUDA-based compute renderer for robotics, serving as the visual backbone for robot learning at scale. This role involves architecting and implementing a novel GPU rendering system, writing high-performance GPU kernels, and integrating rendering outputs into ML training pipelines. | Data | 7 |
| Model Risk and Validation Lead Lead for Model Risk and Validation within Meta Business Services, focusing on risk measurement, diagnostics, and governance of automations and AI/ML systems across finance operations. Requires expertise in risk measurement, technical understanding of AI/ML, and cross-functional leadership to ensure compliance with policies and regulations. | Eval GatePost-train | 7 |
| Postdoctoral Researcher, AI Verification, Separation Logic in Lean Research role focused on program verification using AI, specifically embedding Separation Logic into the Lean proof assistant. Responsibilities include conducting original research, automating proofs, developing evaluations, and collaborating on AI for machine learning algorithms and guardrails for AI agents. Requires a PhD, experience with Lean/Separation Logic, and a publication record in AI or Verification/PL venues. | Data | 7 |
| Software Engineer, Machine Learning RecSys Meta is looking for a Machine Learning Engineer to build and improve cutting-edge recommendation systems and AI-powered products for billions of users. The role involves collaborating with cross-functional teams, implementing ML models at scale, and driving product impact. | ShipPost-train | 7 |
| Network Engineer, Engineering R&D Environments Meta is seeking a Network Engineer to build and scale network infrastructure for AI and compute lab clusters. This role involves end-to-end network design, deployment, and operations for backend fabrics supporting AI workloads, including high-throughput, low-latency cluster networking. Responsibilities include troubleshooting, supporting hardware/software bring-ups, automation, and collaborating with cross-functional teams. The role requires experience with AI/ML cluster networking and a demonstrated ability to integrate AI tools into workflows. | Serve | 7 |