Currently tracking 125 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 140 active AI-related roles in our index. The most common open titles are: Business Support Engineer (5), AI Research Scientist, Robotics (3), Business Engineer, Business AI (3), Software Engineer, Systems ML (3), AI Research Scientist, VLM (vision language models) (2). Most positions are in Engineering and Research.
Meta's active AI hiring is concentrated in: agents (24%), application (20%), serving infrastructure (16%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Meta is hiring AI talent in: United States (112 roles), United Kingdom (9 roles), France (7 roles), Singapore (6 roles).
Job postings at Meta most frequently mention: Machine Learning, Large Language Models (LLMs), Agentic Systems, Robotics, Generative AI.
In the past 30 days, Meta has posted 66 new AI-related roles. That is a +100% change versus the prior 30 days (33 → 66).
| Title | Stage | AI score |
|---|---|---|
| AI Research Scientist, Robotics Research Scientist focused on embodied AI and robotics, developing novel data-driven paradigms and algorithms using machine learning and neural networks for both simulated and real-world robots. The role involves pushing the frontiers of AI in robotics, from low-level control to high-level intelligence, and requires experience with various modalities and research areas like reinforcement learning, vision, and LLMs. | AgentData | 9 |
| Research Engineer, Monetization AI Meta's Monetization Ranking AI Research team is seeking motivated AI specialists to drive SOTA research in AI/ML for personalized ads, focusing on ranking, retrieval, model architecture, and optimization. The role involves developing and implementing large-scale model architectures, sequence learning, generative modeling, graph-aware LLMs, AutoML, and RL techniques. Qualifications include a Bachelor's degree, 2+ years of research experience, Python proficiency, and first-author publications at top AI conferences. Experience taking ideas from research to production and implementing responsible AI practices is also required. |
| Post-trainPretrain |
| 9 |
| AI Research Scientist, CoreML - Monetization AI Meta's Monetization Ranking AI Research team is seeking AI Research Scientists to advance AI/ML for personalized ads, focusing on ranking, retrieval, model architecture, and optimization. The role involves developing and implementing large-scale models, generative solutions, RL techniques, and causal learning, with a strong emphasis on research and publications in top-tier AI conferences, and taking ideas from research to production. | Post-trainData | 9 |
| Research Engineer, Computer Vision Research Engineer focused on Multi-Modal Understanding, developing algorithms that integrate computer vision with language, audio, and sensor data. Drives curation of multi-modal datasets and annotation pipelines, bringing innovative solutions to production for immersive applications. | Post-trainData | 8 |
| Software Engineer, AI Native Development Staff Software Engineer to lead the next generation of AI-native software development practices at Meta. This role involves building systems, tools, and workflows that integrate LLMs and generative AI into the software development lifecycle, from code generation to debugging and product delivery. The engineer will serve as a technical leader, shaping how Meta engineers leverage AI for broader scope, faster iteration, and higher quality outcomes. | AgentServe | 8 |
| Business Support Engineer This role focuses on providing engineering support for Meta's Business Agent, which uses AI to enhance business productivity and customer experiences. The engineer will work with partners to integrate AI-driven solutions, troubleshoot distributed systems, and leverage AI tools for efficiency. Key responsibilities include building and optimizing AI solutions with LLMs, developing monitoring systems, and collaborating with cross-functional teams. The role requires experience with LLMs, AI agents, API development, and distributed systems, with an emphasis on responsible AI practices and continuous AI skill development. | AgentServe | 8 |
| Business Support Engineer This role focuses on supporting Meta's Business Agent by integrating AI-driven solutions for partners, building and optimizing AI architectures using LLMs, and managing the full lifecycle from prototype to production. It involves troubleshooting, performance monitoring, and influencing the product roadmap with a focus on AI tools and ethical AI practices. | AgentServe | 8 |
| Business Support Engineer - Meta Business Agents This role focuses on building, launching, and optimizing AI solutions, specifically using LLMs and AI agents, for business partners. It involves end-to-end ownership from prototype to production, including fine-tuning and optimization of models, and integrating AI tools to improve workflows. The role also requires supporting partners with distributed systems and API troubleshooting, and contributing to the product's strategic roadmap. | AgentPost-train | 8 |
| Business Support Engineer Meta is seeking a Business Support Engineer to play a pivotal role in supporting partners in bringing AI-driven solutions to their service offerings. The role involves architecting troubleshooting methodologies, leading AI-native technical strategy, building and optimizing AI architectures using LLMs, and providing 24/7 on-call support. The engineer will also influence product roadmaps, set technical communication standards, and manage cross-functional programs with a focus on continuous AI/ML learning. | AgentServe | 8 |
| Partner Engineer, Generative AI Integration and Distribution Partner Engineer focused on enabling strategic partners to integrate and distribute Meta's generative AI products and platforms. This role involves technical leadership, solution design, shipping production code, and building strong partner relationships within the AI developer ecosystem. | Ship | 8 |
| Research Scientist Intern, State Estimation for Dexterous Manipulation (PhD) Research Scientist Intern focused on representation learning for dexterous manipulation in robotics, developing latent space embeddings for object physical state and validating them through experiments. | Data | 8 |
| Member of Product Staff Meta's Instagram is seeking a Member of Product Staff to drive product strategy and execution for consumer products, leveraging AI tools to enhance velocity and build AI-native experiences. This role involves setting vision, collaborating with cross-functional teams, and ensuring rigorous evaluation of AI solutions. | Ship | 8 |
| Staff Software Specialist - AI - Monetisation Meta's Core Ads Quality team is seeking a Staff Software Specialist to work on AI and ML problems at scale, focusing on optimizing the trade-off between ad quality and revenue. The role involves developing novel AI algorithms and systems, improving user experience with ads, and leading projects with significant business impact. Experience with foundation models, ML infrastructure, and user behavior modeling is required. | Ship | 8 |
| Research Engineer Robotics (Systems) Meta's Reality Labs Research is seeking a Staff Research Engineer to lead the end-to-end technical architecture for dexterous robotic manipulation systems. This role involves integrating perception, planning, and control, deploying learned control policies (including imitation learning and reinforcement learning), and building infrastructure for data capture and processing. The engineer will optimize system performance, set technical direction, and mentor other engineers, bridging the gap between research and production in robotics. | ShipData | 8 |
| Visiting Researcher, FAIR (University Grad) Research role focused on defining and establishing foundational data quality standards, task methodologies, and validation frameworks for Computer Use Agent (CUA) data creation, upstream of AI model training. The role involves primary research to set 'gold standard' protocols for data governance and integrity. | Data | 8 |
| Partner Engineer, Generative AI Partner Engineer focused on Generative AI, specifically working with strategic partners and cloud providers to build and launch AI product services and experiences using Meta's Llama LLMs. The role involves taking LLMs from research to production, developing technical accelerators, evangelizing Meta's AI, and optimizing models for performance and scalability. Requires strong software development skills, experience with deep learning frameworks, and cloud solutions. | ShipPost-train | 8 |
| Product 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 |
| Product Manager (Leadership) Meta is seeking an entrepreneurial Product Management Leader to drive AI transformation across their consumer products. This role involves setting vision and strategy, leading cross-functional teams, and executing AI-native product initiatives. The leader will critically evaluate AI solutions, translate AI capabilities into product visions, champion AI strategies including evals and data strategies, and scale AI best practices across the organization. Responsibilities include defining product requirements, orchestrating complex execution, using AI-enabled tools to build products, and designing sophisticated experiments and evaluations for AI-powered experiences. | Ship | 8 |
| 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 |
| 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 - 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 |
| 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 |
| 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 |
