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 |
|---|---|---|
| Software Engineer, Systems ML Software Engineer specializing in Systems Machine Learning to design and build infrastructure for large-scale AI systems, focusing on training efficiency, model serving, distributed computation, and hardware-software co-design. The role involves translating ML research into production systems and optimizing performance at scale. | ServePost-train | 9 |
| Research Scientist, 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 |
| Postdoctoral Researcher, AI and Systems Co-design Team Postdoctoral Researcher focused on AI hardware, software, and algorithms, aiming to advance AI infrastructure and address scalability bottlenecks. The role involves conducting state-of-the-art research, publishing in leading venues, and contributing to Meta's research product development. | Serve | 9 |
| Research Scientist, HW/SW Co-Design (PhD) Research Scientist focused on hardware-software co-design for custom AI accelerators at datacenter scale. This role involves optimizing AI models and kernels for Meta's silicon, building performance models, and influencing the hardware roadmap. The work spans exploration to assisting productization, with a strong emphasis on research publication. | ServePretrain | 9 |
| Software Engineer, AI Specialist - Monetization (Technical Leadership) Seeking a distinguished Software Engineer with deep AI specialization to drive transformative technical initiatives across Meta's AI-powered products and platforms. The role involves defining and leading the architectural direction of large-scale AI systems, including foundation models, intelligent ranking and recommendation infrastructure, and applied machine learning pipelines. The engineer will identify and solve complex AI engineering challenges, set technical standards, and leverage AI to unlock new capabilities. This leadership role operates at the intersection of AI research and production-scale engineering, shaping both systems and culture. | ServeAgent | 9 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| Software Engineer Software Engineer role at Meta focused on developing and optimizing large-scale systems for social data and prediction problems. The role involves applying deep learning, data regression, and rule-based models to areas like fraud detection, recommendation systems, and spam detection, with a strong emphasis on adapting ML methods for parallel environments (distributed clusters, GPUs). Requires a Master's degree and 2 years of experience with ML frameworks and distributed systems. | Serve | 7 |
| Machine Learning Engineer Machine Learning Engineer at Meta focused on developing and optimizing large-scale machine learning systems for social data prediction problems, including ranking, classification, and recommendation. The role involves applying advanced deep learning techniques and leveraging parallel computing environments to build highly scalable algorithms and tools. | ServeAgent | 7 |
| Software Engineer, Systems Software Engineer focused on building and optimizing AI infrastructure and ML systems, leveraging hardware acceleration techniques to improve Meta's products. The role involves goal setting, data-driven analysis, defining use cases, and mentoring other engineers. | Serve | 7 |
| Software Engineer, Video AI/ML Specialist Software Engineer specializing in Video AI/ML at Meta, focusing on developing and optimizing video solutions for various products. The role involves researching, developing, and implementing AI/ML-based compression algorithms and enhancement tools to improve video quality and reduce compute footprint, with a strong emphasis on real-time communication systems and large-scale deployment. | ServePost-train | 7 |
| Data Engineering Manager, Analytics Meta is seeking a Data Engineering Manager to lead a team specializing in AI/ML solutions for operations. The role involves overseeing the development and deployment of AI/ML models to automate and optimize global operations, focusing on scalable backends for post-monitoring and measurable cost reduction. The manager will partner with various teams to identify opportunities, build partnerships, and drive end-to-end project delivery, establishing best practices in data engineering and model development. | ServeData | 7 |
| Software Engineer, Systems ML - SW/HW Co-design Software Engineer focused on AI Systems and ML Infrastructure, specifically involving hardware acceleration, compilers, and performance optimizations for ML systems. The role involves building and optimizing these systems, collaborating across teams, and applying knowledge of ML infra interaction with other systems. Experience with distributed systems, on-device development, and recommendation/ranking models is mentioned, along with a need to integrate AI tools and adhere to ethical AI practices. | Serve | 7 |
| Systems Integration Engineer Meta is seeking an experienced Systems Integration Engineer to lead the integration of new hardware platforms and infrastructure technologies into their data centers. This role involves system design for serviceability, validating new hardware tooling and automation for large-scale deployment, and troubleshooting systematic issues. The engineer will develop test plans for operational integration of AI/ML, compute, storage, and networking products, and possess knowledge of AI/ML system architecture to triage failures. The role requires collaboration with cross-functional teams and stakeholders. | Serve | 5 |
| Technical Program Manager, MTIA Software This role is for a Technical Program Manager (TPM) focused on managing software and hardware programs related to AI Accelerators and large-scale AI clusters. The TPM will work with cross-functional teams to enable AI applications and use cases, focusing on requirements, middleware, software design, and deployment of AI training and inference workloads. The role involves identifying problems, developing solutions, troubleshooting, creating roadmaps, defining milestones, driving execution, and communicating with stakeholders, particularly with Software Development teams in Infrastructure (e.g., PyTorch) and hardware-specific software teams. | Serve | 5 |
| Systems Integration Engineer Meta is seeking a Systems Integration Engineer to lead the integration of new hardware platforms and infrastructure technologies into their data centers. This role involves system design for serviceability, validating hardware tooling and automation for large-scale deployment, and troubleshooting systematic issues. The candidate will develop test plans for operational integration of AI/ML, compute, storage, and networking products, and possess knowledge of AI/ML system architecture to triage failures. The role requires collaboration with cross-functional teams and influencing stakeholders on infrastructure tooling support for Meta-designed hardware. | Serve | 5 |
| Performance & Capacity Engineer - Capacity Planning Optimization (Leadership) Meta is seeking a leader for their Capacity Planning Optimization Engineering team to design and execute infrastructure capacity planning processes and tools across all of Meta. This hands-on leadership role involves interfacing with executive leadership, designing and contributing to planning software systems, and optimizing capacity plans at a strategic company level. The role requires connecting business strategy with software-driven modeling of infrastructure considerations, partnering across technical and business organizations, and leading engineers to build effective technical and process solutions. While not a pure software engineering role, it involves designing and contributing to planning software systems. The role also emphasizes integrating AI tools for workflow optimization and responsible AI practices. | Serve | 5 |