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 |
|---|---|---|
| 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 |
| Security Engineer, Wearables (RL) Security Engineer for Meta's Reality Labs devices, focusing on securing wearables, VR, and consumer electronics. The role involves building and scaling security capabilities like cryptographic provisioning, vulnerability management, and manufacturing security operations. A key responsibility is architecting an agentic AI automation layer for vulnerability management and driving system design for SBOM and vulnerability lifecycle tooling to meet regulatory requirements. The work spans on-device firmware, backend infrastructure, and AI automation, using languages like Rust, C, C++, and Python. | Agent | 6 |
| Design Producer — Reality Labs HI Design Meta Reality Labs is seeking a Design Producer to manage the end-to-end production of design and software experiences for their device portfolio. This role involves orchestrating cross-functional teams, navigating hardware/software constraints, and building AI-native workflows to optimize the creative pipeline. The ideal candidate will have extensive experience in production leadership, shipping consumer products, and integrating AI tools into creative and software production processes, with a focus on ethical AI practices. | — | 5 |
| Creative Strategist This role uses AI tools to develop marketing strategies and content, focusing on applying AI to existing marketing workflows and driving business growth. It involves setting creative strategy, building relationships, and operationalizing creative data, with a requirement for experience in applying AI tools and demonstrating ongoing AI skill development and ethical AI practices. | — | 5 |
| Executive and Equity Compensation Manager Meta is seeking an experienced compensation manager to build and implement strategic equity and executive compensation solutions. The role involves advising cross-functional teams, driving strategic initiatives, and executing in a fast-paced environment. Responsibilities include developing and implementing market-leading equity compensation strategies, managing annual compensation cycles, designing executive compensation structures, conducting market research, synthesizing compensation data, producing executive-level strategy materials, leading grant cycles, advising leaders on compensation decisions, managing escalations, and driving adoption of AI-enabled solutions for HR and compensation processes. Qualifications include a BA/BS, 10+ years of experience in compensation/finance/analytics/consulting, direct experience with equity compensation vehicles, strong analytical and data storytelling skills, experience influencing leaders, and experience leveraging AI or advanced analytics tools. | — | 5 |
| Law Enforcement Signals Intelligence Specialist Meta is seeking a Signals Intelligence Specialist to analyze and disrupt criminal scammer networks. This role involves using existing data, developing analytic notebooks with AI, and creating dashboards to identify trends and mitigate harm. The specialist will also influence cross-functional teams and develop quantitative metrics. Qualifications include extensive experience in research, data analysis, threat intelligence, and understanding of AI/ML methods and programming languages like Python and SQL. Experience with AI tools for workflow optimization and responsible AI practices is also required. | — | 5 |
| Manufacturing Technical Manager Manufacturing Technical Manager responsible for end-to-end NPI manufacturing readiness, partnering with AME teams and manufacturing partners. Accountable for manufacturing line readiness, metrics, failure analysis, and corrective actions. Drives cost savings through Capex & MVA reduction. Requires BS/higher in Business, Engineering, or Supply Chain, with proven program/project management experience. Experience with international contract manufacturers, process development, and analytical problem-solving is essential. Familiarity with AI tools for workflow optimization and ethical AI practices is a plus. | — | 5 |
| Channel Operations Account Manager This role focuses on managing channel operations and partner relationships for consumer hardware products, with an emphasis on leveraging AI tools to improve efficiency, automation, and decision-making within supply chain operations. The role involves managing account health, coordinating fulfillment, leading CPFR processes, and identifying opportunities for AI-driven improvements. | — | 5 |
| Technical Program Manager, Youth Regulation This role is for a Technical Program Manager focused on Youth Regulation at Meta. While the role involves leveraging AI tools and adhering to ethical AI practices to optimize program management processes, the core function is program management and execution, not direct AI/ML model development or research. The role focuses on translating technical strategy into execution plans, managing risks, and driving alignment across engineering and cross-functional teams, with a specific emphasis on regulatory compliance within the youth domain. The use of AI is to enhance program management efficiency and quality. | — | 5 |
| Energy Operations Manager, Data Centers This role focuses on the operational energy management of Meta's global data center portfolio, ensuring reliable, cost-effective, and operationally sound energy supply. It involves managing utility interconnections, power procurement, on-site generation, and compliance. The role requires experience in energy operations, utility account management, and power systems. While not directly building AI, the role is expected to integrate and utilize AI tools for workflow optimization and demonstrate ongoing AI skill development and adherence to ethical AI practices. | — | 5 |
| Production Systems Engineer, AI Systems This role focuses on the hardware systems engineering for AI/HPC servers, specifically in the Release to Production (RTP) team. Responsibilities include end-to-end system validation, bring-up, deployment, issue investigation, and driving automation for new hardware systems in large-scale data centers. The role requires significant experience with hardware engineering, server systems, and networking, with a focus on ensuring the reliability and performance of AI hardware. | — | 5 |
| Software Engineer, Systems Staff Systems Engineer to design and build foundational software infrastructure for large-scale distributed systems, low-level platform software, and critical infrastructure components. Focus on reliability, performance, and scalability, partnering with product engineering, infrastructure, and operations. Drive technical strategy, establish best practices, and mentor engineers. Leverage AI tools to accelerate development and improve system reliability and observability. | — | 5 |
| Design Producer — Reality Labs HI Design The Design Producer role at Meta's Reality Labs is focused on operationalizing the design and software production process for consumer products, with a significant emphasis on building and integrating AI-native tools and workflows to optimize the creative pipeline. This role requires orchestrating cross-functional teams, managing production from concept to ship, and making trade-off decisions while ensuring high craft and speed. While AI tools are central to redesigning workflows, the core output is the shipped consumer product, not AI models themselves. | — | 5 |
| Account Manager, Small and Medium Business Group (SMBG) This role is for an Account Manager in Meta's Small and Medium Business Group (SMBG) that will leverage AI-driven sales strategies to help businesses grow. The role involves managing client accounts, identifying opportunities, and educating clients on Meta's products and AI capabilities. While the role uses AI tools and requires AI skill development, its core function is sales and account management, not building AI models. | — | 5 |
| Systems Integration Engineer Meta is seeking an experienced Systems Integration Engineer to lead the integration of new hardware platforms and infrastructure technologies into their data centers. This role involves system design for serviceability, validating new hardware tooling and automation for large-scale deployment, and troubleshooting systematic issues. The engineer will develop test plans for operational integration of AI/ML, compute, storage, and networking products, and possess knowledge of AI/ML system architecture to triage failures. The role requires collaboration with cross-functional teams and stakeholders. | Serve | 5 |
| Portfolio Strategy Analyst, Data Center Energy This role focuses on developing and maintaining portfolio-level energy strategy models for data centers, analyzing energy markets, and synthesizing data to inform infrastructure leadership. It involves identifying strategic risks and opportunities related to energy, partnering with other teams, and building analytical tools. The role requires experience in energy strategy, financial modeling, and energy markets, with a demonstrated ability to integrate AI tools to optimize workflows and develop AI skills. | — | 5 |
| MSL Special Projects Lead This role is for a Special Projects Lead within Meta SuperIntelligence Lab (MSL) focused on operational and strategic challenges. The individual will scope ambiguous problems, drive cross-functional execution, and deliver results on high-priority initiatives for the Chief AI Officer. The role requires a strategic, execution-oriented operator who thrives in ambiguity and can deliver at scale, identifying needs, devising solutions, and implementing them across the organization. Responsibilities include owning special projects end-to-end, developing project strategies, driving collaboration, building relationships, and implementing operational frameworks. Qualifications include 6+ years of experience in operations or program management, a Bachelor's degree (MBA preferred), demonstrated ability to drive complex projects, excellent communication skills, and familiarity with AI/ML concepts, applications, and ethical practices. Experience integrating AI tools to optimize workflows and drive impact is also required. | — | 5 |
| Energy Analyst, New Transactions This role focuses on energy analysis for data centers, including rate structures, load forecasting, and procurement. While it involves integrating AI tools for workflow optimization and requires AI skill development, the core function is energy analysis and financial modeling within the enterprise domain, not direct AI/ML model development. | — | 5 |
| Product Cost Engineer, Meta Reality Labs Product Operations This role is for a Product Cost Engineer in Meta Reality Labs, focusing on managing the financial health of hardware products throughout their lifecycle. The role involves cross-functional collaboration to drive product budgets, supply chain continuity, and cost targets. A key aspect is influencing product architecture through trade-off analysis and cost reduction opportunities. The role requires experience in product cost management, operations, and supply chain, with a demonstrated ability to integrate AI tools to optimize workflows and drive measurable impact, including adherence to ethical AI practices. | — | 5 |
| NPI Operations Program Manager The NPI Operations Program Manager on the AI Devices team drives consumer electronics from development to mass production, bridging core product engineering teams with various functional organizations and external partners. The role focuses on program execution, ensuring engineering trade-offs, manufacturing constraints, and system dependencies are understood and resolved. While the role involves integrating AI tools and adhering to AI practices, its core function is operations program management for AI-powered consumer electronics, not direct AI/ML model development. | — | 5 |
| Data Scientist (Technical Leadership) This role is for a Data Scientist at Meta who will collaborate with cross-functional partners to use data and analysis to solve product development challenges, influence product strategy, and guide teams with insights. The role involves applying rigorous analytical approaches, communicating data-driven stories, and integrating AI tools to optimize workflows and drive impact. Experience with predictive modeling, machine learning, experimentation, and ethical AI practices is required. | — | 5 |
| Agency Solutions Manager This role partners with agencies to leverage Meta's advertising products and solutions, using data and insights to drive client success. It involves educating agencies on product best practices, analyzing data to identify opportunities, and influencing product innovation. While the role encourages the use and development of AI tools for workflow optimization and responsible AI practices, its core function is in advertising solutions and agency partnerships, not direct AI/ML model development. | — | 5 |
| Principal, AI Cloud Infrastructure Commercial Sourcing This role focuses on the commercial sourcing and strategic partnerships for AI cloud infrastructure, ensuring capacity, cost, and terms align with Meta's AI roadmap and research needs. It involves structuring and negotiating large-scale agreements with cloud providers, influencing supplier roadmaps, and optimizing cloud spend. | — | 5 |
| Product Marketing Manager Product Marketing Manager at Meta to drive the development, launch, and growth of industry-leading business products, focusing on advertiser interfaces and go-to-market strategy. Requires experience in digital advertising, monetization, and cross-functional coordination. The role involves market assessment, requirement gathering, and influencing product development, with an emphasis on integrating AI tools for workflow optimization and adhering to ethical AI practices. | — | 5 |
| Data Scientist, Product Analytics | Scientifique de données en analyse de produits This role is for a Data Scientist focused on product analytics within Meta's consumer applications. The primary responsibility is to use quantitative analysis, experimentation, and data modeling to inform product strategy and decision-making. While the role involves integrating AI tools into workflows, it does not involve building AI models or agents as its core craft. The focus is on using data to improve existing products and identify new opportunities. | — | 5 |
| Display and Optics Supplier Quality Engineer This role focuses on ensuring the quality of display and optical components for Meta's consumer hardware products (VR, AR, MR). While the role leverages AI tools and requires AI skill development, its core function is supplier quality engineering within the hardware domain, not the direct development or research of AI models or systems. | — | 5 |