Currently tracking 125 active AI roles, up 42% 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 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 |
| 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 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| Robotics Verification & Validation Engineer Meta is seeking a Robotics Verification & Validation Engineer for their humanoid robotics team. The role focuses on ensuring the reliability, safety, and performance of the robot platform through end-to-end V&V of hardware, software, firmware, and AI components. Responsibilities include developing V&V plans, creating test environments, leading root cause analysis, and ensuring compliance with safety standards. The role requires experience with safety-critical systems, functional safety standards, and validating systems with integrated AI/ML, particularly in perception and decision-making. | ShipAgent | 7 |
| Automation Engineer, Materials Research Science Meta Reality Labs is seeking an engineer to build an automation backbone for an autonomous materials discovery lab. This role involves integrating AI agents, robotic work-cells, and scientific instruments into a closed-loop pipeline to accelerate the development of novel materials for wearables and robotics. The engineer will translate scientific workflows into production-grade software, connecting instruments, robots, and sensors, and integrating with LLM-based multi-agent systems for experiment planning and analysis. | Agent | 7 |
| Senior Principal, Commercial Legal AI This role leads the implementation and adoption of AI agents for commercial contracts processes, aiming for significant efficiency gains and ensuring legal integrity and compliance. It involves configuring playbooks, integrating solutions, designing AI guardrails, and developing reusable frameworks for broader legal domains, influencing the overall Legal AI strategy. | Agent | 7 |
| Solutions Architect, Scaled Operations AI Accelerator Team Meta is seeking a Solutions Architect to lead AI integration into its Scaled Operations organization. This role will focus on identifying, architecting, and implementing AI-driven automation solutions to enhance efficiency and effectiveness in global operations. The architect will partner with leadership and cross-functional teams to optimize workflows, manage projects, and drive change management, leveraging AI advancements and ensuring responsible AI practices. | Agent | 7 |
| Robotics Manipulation Engineer Meta is seeking a Robotics Engineer to join their Infra Robotics team, focusing on integrating robotics and automation into data center operations. The role involves solution architecture, system integration, verification, and product release, with a strong emphasis on hands-on experience with industrial robotics, automation software development, and ML algorithms for robot interaction. The engineer will collaborate with cross-functional teams to improve serviceability, repair efficiency, and reliability. | Ship | 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 |
| Solutions Architect, Business AI Solutions Architect role focused on building next-gen AI products and prototypes, working with business challenges and AI technology to deliver scalable, AI-powered solutions for enterprise customers. The role involves bridging sales and engineering, understanding business goals, and influencing the AI industry. | Agent | 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 |
| Business Engineer, Business AI Business Engineer role focused on applying AI/ML to solve real-world business challenges, building end-to-end systems and next-gen AI products. The role involves working with LLMs and agentic AI, shipping production-grade code, and collaborating with business partners to drive impact and innovation in a zero-to-one domain. | Agent | 7 |
| 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 | 7 |
| Software Specialist (TL) - AI/ML - Monetisation Meta's Core Ads Quality team is seeking a Software Specialist (TL) to drive technical direction and strategy for AI/ML initiatives within the ads monetization space. This role involves optimizing the trade-off between ad quality and revenue, understanding user behavior, and building robust infrastructure for signals and metrics. The position requires experience in developing ML algorithms and infrastructure, bringing research to production, and planning multi-year roadmaps, with a focus on analytical problem-solving and cross-functional collaboration. | Agent | 7 |
| Software Engineer (Technical Leadership) Software Engineer with technical leadership responsibilities focused on applying machine learning to large-scale consumer prediction problems like fraud detection, recommendation systems, and classification. The role involves driving technical direction, developing scalable ML models, and shipping products to millions of users. | Ship | 7 |
