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 |
|---|---|---|
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 Engineering, Machine Learning (Singapore) Meta is seeking experienced Software Engineers to build and improve cutting-edge consumer products, focusing on connecting people globally. This role involves developing innovative features, optimizing performance, and architecting scalable systems, with a strong emphasis on integrating and applying AI tools responsibly to drive impact and efficiency. | Ship | 7 |
| Software Engineer, ML (Technical Leadership) This role is for a Principal Machine Learning Engineer focused on financial risk management at Meta. The individual will be responsible for strategizing and delivering ML solutions to minimize financial losses, optimize existing ML models, and lead the research and introduction of advanced technologies like deep learning and LLMs. They will also collaborate on the next-generation ML architecture, identify new business opportunities, and mentor other senior ML engineers. | ShipPost-train | 7 |
| Software Engineering, Machine Learning Software Engineer, Machine Learning role at Meta in Singapore, focusing on building cutting-edge products that connect billions of people. The role involves developing and shipping ML models at scale, integrating AI tools to optimize workflows, and staying current with emerging AI technologies. Requires experience in ML, recommendation systems, or AI, with a strong software engineering background. | 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 |