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 |
|---|---|---|
| Tech Lead, AI Research Scientist (Robotics) AI Research Scientist focused on robotics and embodied AI, pushing the frontiers of intelligence for embodied agents. The role involves fundamental and applied research, developing novel data-driven paradigms, and creating algorithms based on state-of-the-art machine learning. | ShipData | 10 |
| AI Research Scientist, Robotics Meta is seeking an AI Research Scientist specializing in Robotics to push the frontiers of embodied AI. This role involves inventing and improving data-driven paradigms for robots using various modalities, developing ML/NN algorithms, and building/benchmarking new functionality. The position requires a PhD, extensive experience in robotics research areas, and a proven track record of significant results via publications and patents. |
| ShipAgent |
| 9 |
| AI Research Scientist, CoreML - Monetization AI Research Scientist focused on advancing recommender systems by modeling user and ad interactions as generative sequence modeling problems, moving beyond traditional classification methods. The role involves research, algorithmic innovation, and productionizing breakthroughs for Meta's monetization pillar, with a focus on large language models (LLMs) and artificial general intelligence (AGI). | ShipPost-train | 9 |
| 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 |
| Member of Product Staff Meta's Instagram is seeking a Member of Product Staff to drive product strategy and execution for consumer products, leveraging AI tools to enhance velocity and build AI-native experiences. This role involves setting vision, collaborating with cross-functional teams, and ensuring rigorous evaluation of AI solutions. | Ship | 8 |
| Research 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 |
| Product Manager, Leadership Meta is seeking an entrepreneurial Product Management Leader to drive AI transformation across their organizations. This role involves shaping long-term opportunities, setting vision and strategy, and translating AI capabilities into product visions. The leader will drive product development with cross-functional teams, orchestrate complex execution using AI automation, and define and run evaluations for AI-powered experiences. The role requires experience building 0-1 AI-native products and scaling AI best practices across organizations. | Ship | 8 |
| Research Engineer, MRS AI Research Engineer role focused on building Meta's User Intelligence Engine for the Recommendation System, integrating Generative AI/LLMs with ranking expertise to deliver personalized experiences. Responsibilities include developing large-scale model architectures, leveraging transfer learning, optimizing training scalability, applying sequence learning, designing generative modeling for data augmentation, and deploying ML pipelines. Requires a Bachelor's degree in a relevant field, ML/deep learning/recommender systems experience, Python/PyTorch proficiency, and exposure to large-scale software patterns. Preferred qualifications include a Master's/PhD, publication record, generative AI/LLM/RecSys experience, and experience with large-scale ML model development. | ShipData | 8 |
| QA Engineering Lead, AI Native Lead QA Engineering for AI-powered products at Meta, focusing on testing text, image, and voice models. Develop and execute test strategies, including prompt engineering, scenario-based, and adversarial testing, ensuring robustness, reliability, and ethical standards. Collaborate with AI/ML teams, leverage AI tools for QA workflows, and drive quality for billions of users. | ShipPost-train | 8 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| Lead AI Operations Program Manager Seeking an AI-focused operations program leader to manage AI initiatives across product and technical operations, from architecture to scaled deployment. This role involves interfacing with product development, engineering, and external suppliers to ensure alignment, timely delivery, and operational impact. The candidate will establish engagement models, define roles, and instill operational rigor powered by AI, tracking KPIs and managing dependencies. Responsibilities include driving AI transformation, integrating AI tools into manufacturing and supply chain, influencing design decisions, assessing risks, and championing continuous improvement through AI-optimized workflows. The role requires experience managing complex, cross-functional programs, influencing executives, and translating AI strategy into operationalized workflows, with a focus on piloting, scaling, and operationalizing AI solutions. | ShipAgent | 7 |
| Technical Program Manager, FAIR (AI Research) Technical Program Manager at Meta AI Research (FAIR) to lead complex, cross-functional programs that accelerate scientific discovery and innovation. The role involves partnering with researchers, engineers, and product managers to deliver scalable solutions for compute infrastructure, data management, and generative AI projects, enabling cutting-edge research and AI product development. Responsibilities include driving end-to-end program management, guiding technical strategy, identifying and mitigating risks, and facilitating communication. Qualifications include extensive experience in technical program management, systems engineering, or software engineering, with a preference for AI/ML backgrounds and experience integrating AI tools. | Ship | 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 |
| Director of Engineering - Facebook Groups Ranking Director of Engineering for Facebook Groups Ranking, focusing on recommendation systems, Generative AI, and ML engineering to drive user engagement. The role involves leading teams to build ranking platforms, advance LLM applications, and optimize ML solutions for a large-scale consumer product. | ShipServe | 7 |
| Technical Program Manager, FAIR (AI Research) Technical Program Manager to lead cross-functional programs for FAIR, focusing on compute infrastructure, data management, and generative AI projects. The role involves partnering with researchers and engineers to deliver scalable solutions, guide technical strategy, and ensure the productionization of generative models, while adhering to ethical AI practices and evaluating model performance. | ShipData | 7 |
| Director, Data Engineering Director of Data Engineering at Meta, focusing on measuring the impact of AI for Work (AI4W) across the enterprise. This 0->1 role involves building measurement frameworks, data pipelines, and instrumentation to track agent telemetry and outcome metrics. The goal is to quantify the ROI of AI tools, validate claimed impact, and shape the strategy for AI-augmented productivity. The role requires operating across diverse AI use cases and influencing stakeholders to evolve operating models for the AI era. | Ship | 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, Machine Learning Software Engineer, Machine Learning at Meta focused on developing and testing operating systems-level software, compilers, and network distribution software for massive social data and prediction problems. The role involves applying deep learning, data regression, and rules-based models to classification and optimization tasks such as fraud detection, ad ranking, recommendation systems, and spam detection, with a focus on building highly scalable and efficient systems. | Ship | 7 |
| Machine Learning Engineer Machine Learning Engineer at Meta focused on designing, implementing, and productionizing ML models for ad ranking, targeting, and conversion optimization. This role involves leading experiments, building scalable ML pipelines, and collaborating with cross-functional teams. Requires a Master's degree and 3 years of experience in ML, deep learning, distributed computing, and Python/C++. | Ship | 7 |
| Director, Data Science - AI for Work (AI4W) Ecosystem Director, Data Science - AI for Work (AI4W) Ecosystem at Meta. This role is a founding senior IC on a new analytics team focused on integrating AI into Meta's products and processes. The role involves shaping product development, measuring impact, strategizing investments, and guiding teams with data-driven insights. Responsibilities include collaborating with cross-functional partners, contributing to technical vision, building and improving AI development/experimentation/measurement systems, and leading data scientists and managers. Requires experience in predictive modeling, ML, experimentation, ethical AI practices, and AI skill development like prompt engineering and agent orchestration. | Ship | 7 |
| Software Engineer, Machine Learning Software Engineer, Machine Learning at Meta focused on developing and testing operating systems-level software, compilers, and network distribution software for massive social data and prediction problems. The role involves working on classification and optimization problems using deep learning, data regression, and rule-based models to build highly scalable systems and algorithms. | Ship | 7 |
| Product Manager, Central Product Product Manager to lead AI-native product development at scale, defining AI strategies, overseeing product vision, roadmap, and execution. This role requires critically evaluating AI's role, translating capabilities into product visions, developing comprehensive AI strategies with evals and data strategies, and scaling AI best practices across product teams. The PM will orchestrate execution using AI automation and human oversight, foster experimentation, and mentor others on AI-native practices. | Ship | 7 |
| Sr. Data Scientist Meta is seeking a Sr. Data Scientist to work with large datasets, solve complex problems using analytical and statistical approaches, and partner with Product and Engineering teams. The role involves informing product decisions, working with data infrastructure (Hadoop, Hive, MySQL), authoring pipelines (SQL, Python ETL), guiding experimentation, and developing machine learning models including label design and evaluation. The scientist will leverage Python and R to make strategic business decisions, apply causal inference, design/evaluate experiments, monitor metrics, build dashboards, and develop models of user behavior. This includes influencing product teams through presentations, communicating results, and spreading best practices. The role requires applying predictive modeling, machine learning, and experimentation/causal inference methods regularly. | Ship | 7 |
| Machine Learning Engineer Machine Learning Engineer at Meta focused on developing and deploying scalable ML models for consumer-facing problems like fraud detection, ad/feed/search ranking, and spam detection. The role involves research, design, development, testing, and production deployment of these models, working with data pipelines, and collaborating with cross-functional teams. | Ship | 7 |
| Software Engineer, Machine Learning Software Engineer, Machine Learning role at Meta focused on building cutting-edge AI-powered products that connect billions of people globally. The role involves developing ML models at scale, integrating AI tools to optimize workflows, and ensuring responsible AI practices. Requires strong programming experience, experience with ML/AI fields, and a track record of shipping high-quality, reliable AI-driven features. | Ship | 7 |
| Software Engineer (Technical Leadership) - Machine Learning Meta is looking for a principal engineer to lead teams in building and improving AI-powered products that connect billions of people globally. The role involves driving technical direction, developing roadmaps, and mentoring stakeholders, with a focus on integrating AI tools and adhering to responsible AI practices. | Ship | 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 |