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 |
|---|---|---|
| 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 |
| 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 |
| 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 |
| 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, 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 (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 |
