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 42% 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 |
|---|---|---|
| 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 |
| Technical Program Manager – AI-Generated Media Provenance Technical Program Manager to lead the AI-Generated Media (AIGM) Provenance program, focusing on watermarking, detection, and industry standards (C2PA). The role involves driving cross-organizational alignment, owning technical strategy for provenance infrastructure, navigating regulatory compliance, and representing Meta in industry standards bodies. It operates at the intersection of AI research, media infrastructure, product integration, and global regulation. |
| AgentServe |
| 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 |
| Postdoctoral Researcher, AI Verification, Separation Logic in Lean Research role focused on program verification using AI, specifically embedding Separation Logic into the Lean proof assistant. Responsibilities include conducting original research, automating proofs, developing evaluations, and collaborating on AI for machine learning algorithms and guardrails for AI agents. Requires a PhD, experience with Lean/Separation Logic, and a publication record in AI or Verification/PL venues. | Data | 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 |
| Lead, Product Content Engineering This role focuses on driving evaluation efforts for LLM models across product teams, specifically within Meta's Product Content Engineering team. The individual will lead sprints, develop automation strategies for manual evaluation tasks, and partner with Product Managers to align resources. The role involves understanding technical product needs, translating them into actionable directions for cross-functional teams, and contributing to content strategies that improve user experience and content discovery. It requires expertise in GenAI products, prompt engineering, annotation, evaluation metrics, and a strong understanding of recommendation systems and content platforms. | Eval GatePost-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 |
| 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 |
| Research Scientist Intern, Multimodal Contextual AI (PhD) Research Scientist Intern focused on on-device contextual AI for AR devices, involving computer vision, audio interaction, and LLMs. The role requires building and characterizing experimental HW+SW systems on AR devices, developing embedded firmware, and collaborating across disciplines. Candidates should be pursuing a PhD and have experience with C/C++, Python, ML frameworks, and embedded systems. | Serve | 7 |
| Director, Product Management - APAC Products Director of Product Management for APAC Products at Meta, leading AI transformation initiatives. This role focuses on redesigning product development workflows for speed and efficiency using AI, setting AI-native strategies, and scaling AI best practices across teams. Responsibilities include defining product vision, leading cross-functional teams, orchestrating complex execution with AI automation, and establishing AI evals as a core practice. Requires extensive experience in product leadership, managing global-scale projects, and integrating AI tools responsibly into product development and workflows. | Ship | 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 |
| 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 |
| 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 |
| Product Content Engineer This role focuses on defining and implementing content quality standards for AI-powered experiences, specifically within Meta's AI Discovery team. The Product Content Engineer will build frameworks, rubrics, and pipelines to evaluate AI outputs, assess model behavior, and collaborate with cross-functional teams to improve AI content experiences, particularly in search and recommendation systems. | Eval Gate | 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 |
| Product Manager - Growth & Monetization Product Manager for Growth & Monetization at Meta, focusing on new standalone consumer app exploration and growth. The role involves driving 0->1 product development, leveraging agentic workflows, and critically evaluating AI's role in product strategy. Responsibilities include defining product vision, roadmaps, and strategies using AI capabilities, championing AI-native approaches with comprehensive evals and data strategies, and scaling AI best practices across the organization. The role also emphasizes using AI-enabled tools to transform team velocity and orchestrating complex execution with AI automation and human oversight. A key aspect is defining and running evaluations (evals) for AI-powered experiences and integrating AI tools to optimize workflows. | 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 |
