This role is for a Digital Accounting Manager in Meta's Reality Labs division, focusing on financial accounting for digital products like VR games and immersive content. The role requires ensuring accurate recording and reporting under US GAAP, managing cross-functional projects, and identifying/piloting AI-driven solutions to automate and improve accounting processes. While the role involves exploring and integrating AI tools, its core function is accounting, not building AI models.

Product Design Engineer with 6+ years of experience in mechanical design, focusing on shipping high-volume commercial products and complex electromechanical assemblies. Responsibilities include driving technical solutions from concept to mass production, providing mentorship, and influencing program direction. The role involves integrating AI tools to optimize workflows and adhering to ethical AI practices.

Meta is looking for an experienced Interaction (UI/UX) Sound Designer to create audio and haptics experiences for their Reality Labs devices and software. The role involves leading complex audio projects, defining sonic experiences, using and developing AI tools to improve workflows, establishing sound design systems, and collaborating with various teams to ensure product consistency and innovation. The designer will be involved in all stages of the design process, from concept to implementation and testing, with a focus on shipping high-quality user experiences.

Industrial Designer role focused on RL Hardware, requiring experience in consumer electronics and wearable tech. The role involves designing and developing products, combining usability, aesthetics, and technical insight. A key aspect is the demonstrated ability to integrate AI tools to optimize workflows, adhere to ethical AI practices, and develop AI skills like prompt engineering and agent orchestration.

Prototype Process Engineer to support a cross-functional product design team, focusing on hands-on assembly, process development, and prototype build setup for robotics and AI hardware. The role involves integrating AI tools to optimize workflows and ensuring ethical AI practices.

Hardware Electrical Engineer role focused on designing, developing, and integrating electrical systems for consumer hardware and large-scale infrastructure. The role involves full product lifecycle collaboration, schematic design, board layout, hardware bring-up, and debugging. A key aspect is the demonstrated ability to integrate AI tools to optimize workflows and drive measurable impact, along with ongoing AI skill development in areas like prompt engineering and agent orchestration, and adherence to ethical AI practices.

Software Engineer specializing in database internals to drive the technical direction of MySQL infrastructure, including storage and replication layers. The role involves architecting enhancements for AI workloads, solving complex database challenges, and leveraging AI tooling to optimize performance and development workflows. This position requires deep database expertise and leadership in defining multi-year technical strategy.

Meta Robotics Studio is seeking a Prototype Process Engineer to support a cross-functional product design team, focusing on hands-on assembly, process development, and prototype build setup. The role involves integrating AI tools to optimize workflows and adhering to ethical AI practices, with a need for ongoing AI skill development in areas like prompt engineering and agent orchestration.

The Commercial Sourcing Manager, Silicon, will be the lead commercial contact for AI & compute silicon/SOC sourcing, developing optionality on sources of supply. Responsibilities include identifying AI silicon availability, developing negotiation and sourcing strategies, partnering with Finance & Hardware Engineering on roadmaps, and driving strategic sourcing decisions. The role involves complex negotiations, supply chain risk assessment, exploring innovative structures like joint development and IP licensing, and managing total landed cost. The candidate will maintain knowledge of AI/CPU silicon trends, develop commodity sourcing strategies, build supplier relationships, provide expertise to design engineering, drive RFPs, resolve commercial queries, and support product transfer. Qualifications include a BS degree, 10+ years of business/supply chain experience in data center/cloud/compute/AI hardware, proven strategy-to-execution ability, strong influencing and negotiation skills, experience in cross-functional environments, in-depth understanding of SOC supply chain 'should cost', C-suite interaction experience, and demonstrated ability to integrate AI tools for workflow optimization and adhere to ethical AI practices.

Meta is seeking a Senior Data Engineer specializing in Machine Learning to design, build, and optimize data warehousing and data pipelines. This role will focus on enhancing ML data infrastructure, supporting feed recommendations and ranking systems, and collaborating with ML engineers to develop analytics tools. The position requires a Master's degree and experience in data modeling, ETL, big data technologies, and data privacy.

Data Scientist role at Meta focused on product development, leveraging quantitative analysis, data mining, and machine learning to understand user interactions and inform product decisions. The role involves forecasting business trends and partnering with product and engineering teams.

This role is for an Area Project Controls Lead for an AI enabling infrastructure campus. The lead will oversee cost controls, financial reporting, and commercial management, leading a team of analysts. The role requires strong leadership, communication, and analytical skills, with experience in construction project controls and integrating AI tools to optimize workflows and adhere to ethical AI practices.

Network Engineer responsible for the deployment and support of production networks, including Edge, Backbone, Optical, and Datacenter networks. The role involves participating in the design, engineering, and implementation of large-scale data center networks, researching and deploying new technologies, and optimizing deployments. It also requires close collaboration with cross-functional teams and vendors, developing automation and tooling, and performing site visits. A key aspect of the role is leveraging AI tools to drive efficiencies, improve reliability, quality, and speed of deployments, and adhering to responsible AI practices.

This role supports Meta Robotics Studio by managing electrical components for prototype builds. Responsibilities include BOM transfer, demand forecasting, sourcing, identifying long-lead items, managing alternates, inventory readiness, and cross-functional collaboration. The role also involves integrating AI tools to optimize workflows and adhering to ethical AI practices.

Network Engineer role focused on data center infrastructure, cable design, and fiber connectivity. The role involves automation and coding experience to improve data center operations and processes. It also requires integrating AI tools to optimize workflows and adhering to ethical AI practices.

Data Scientist role focused on leveraging structured data to understand customer interactions, identify product improvement opportunities, and design/execute experiments. Involves data processing, modeling, and influencing strategic decisions through data analysis and communication.

Solutions Architect for Meta Reality Labs Sales Operations, focusing on designing and deploying AI-enhanced sales tools and systems. The role involves leveraging AI/ML to augment business intelligence, automate processes, and generate predictive insights to drive business growth and operational efficiency. Responsibilities include architecting scalable solutions, driving technical strategy, leading cross-functional programs, and championing AI-native approaches for sales processes and customer experiences, ensuring responsible AI adoption and integrating tools like prompt engineering and agent orchestration.

Data Scientist role at Meta focused on building machine learning systems for user behavior analysis and powering production systems. Requires a Master's degree and experience in ML techniques, scripting languages, statistical analysis, large-scale data processing, and quantitative analysis.

Data Scientist at Meta focused on understanding customer interactions with product and service offerings using massive amounts of structured data. The role involves leading projects from data gathering to modeling and recommendations, partnering with cross-functional teams, designing and executing experiments (A/B testing), and communicating insights to business leads. Responsibilities include working with large-scale data infrastructures (Hadoop, Hive) and automating analyses using SQL and Python-based ETL frameworks.

Data Scientist at Meta focused on understanding user behavior and powering production systems with models. Responsibilities include quantitative analysis, data mining, partnering with product/engineering, defining metrics, building dashboards, and automating pipelines using SQL and Python. Requires a Master's degree and coursework/experience in machine learning, SQL, Python, and statistical analysis.

Data Scientist role at Meta focused on quantitative analysis, data mining, and building models of user behavior to inform product decisions and power production systems. Requires a PhD and practical experience in experimental design, data analysis, and applying ML/AI techniques.

Meta is seeking a Data Scientist to apply expertise in quantitative analysis, data mining, and data presentation to understand user interactions with their products. The role involves mining large datasets, performing large-scale data analysis, developing data pipelines with automated machine-learning systems, building models of user behaviors, and partnering with Product and Engineering teams to solve problems and identify trends. The Data Scientist will also design and implement dashboards and reports, and inform product decisions through effective communication of results.

Data Scientist at Meta focused on analyzing user data to inform product development and identify trends. Responsibilities include data interpretation, quantitative analysis, and partnering with product and engineering teams. Requires a Master's degree and 4 years of experience in data management, ML, user engagement, and experimentation.

This role is responsible for the financial governance and performance of a global Design and Projects portfolio. It involves implementing active project controls, leveraging data analytics, AI, and process governance to maximize investment value. The role bridges project delivery with corporate finance, providing transparency and risk management for strategic decision-making. Key responsibilities include establishing cost management guidelines, managing change control, driving lessons learned, developing budgets and forecasts, monitoring costs, identifying trends and risks, and establishing cost control frameworks. The role also involves developing dashboards, managing funding approvals, and partnering with Legal and Sourcing on contracts. A significant aspect is promoting AI and digital transformation best practices, exploring AI tools for cost forecasting, championing 5D BIM, and integrating AI tools to optimize workflows while adhering to ethical AI practices.

Data Engineer for Meta's Products & Applied Research (PAR) team, focusing on designing and building large-scale data sets, data solutions, and data models to optimize product growth, strategy, and user experience. The role involves collaborating with various teams, ensuring data quality and security, and influencing product development through data-driven insights. While the role integrates AI tools and practices, its core function is data engineering.

This role focuses on process improvement within global logistics, leveraging AI and automation to optimize supply chain operations. While AI tools are mentioned as a means to enhance efficiency and performance, the core function is not the development or research of AI itself, but rather the application of AI to existing logistics processes. The role involves leading initiatives, cross-functional collaboration, and data-driven decision-making within the supply chain domain.

Mechanical Design Engineer focused on electronics integration and packaging for robotics, with experience in AI tool integration for workflow optimization and ethical AI practices.

Solutions Architect for Meta's advertising technology partners, focusing on integrating, optimizing, and scaling solutions on Meta's marketing platform. The role involves acting as a technical consultant, guiding partners on Meta's advertising APIs and products, and identifying opportunities for new solutions. It requires a blend of technical expertise and strategic partner engagement to drive business impact.

Data Scientist role at Meta focused on quantitative analysis, data mining, and applying machine learning techniques to inform product decisions. The role involves working with large datasets, SQL, Python, and distributed systems, with a focus on A/B testing and statistical analysis.

This role focuses on supply chain risk and resilience for infrastructure, requiring experience in risk assessment, network optimization, and cross-functional collaboration. While the role involves leveraging AI tools for optimization and adhering to ethical AI practices, its core function is not AI/ML development but rather supply chain management.

Operations Program Manager for Core Technologies in Reality Labs, responsible for end-to-end manufacturing operations at suppliers, from early architecture through launch. This role requires close collaboration with R&D, Engineering, Advanced Manufacturing & Test, Business Development, Sourcing, and external supplier teams. The role involves driving supplier readiness, leading bring-up and integration activities, managing ramp availability, and ensuring successful product launches. The candidate will assess and communicate program risks, participate in Engineering design discussions, and act as the Operations owner for partner decisions. Experience with consumer electronics manufacturing, semiconductor processing, and AI tools for workflow optimization is required.

This role leads schedule operations for a large-scale AI enabling infrastructure campus. It involves managing integrated master schedules, overseeing a team of schedulers, forecasting and mitigating schedule risks, and ensuring commercial accountability. The role requires expertise in project scheduling tools and practices, leadership skills, and experience with AI-enabled scheduling and ethical AI practices.

Data Scientist role at Meta focused on building machine learning systems and models for user behavior analysis and production systems. Responsibilities include data mining, quantitative analysis, developing data pipelines, and partnering with product and engineering teams. Requires a Bachelor's degree and experience with SQL, Python, statistical software, A/B testing, machine learning, ETL, and large-scale data processing.

Meta is seeking a Data Engineer to design, build, and launch data pipelines and tools that generate business insights. The role involves analyzing user needs, designing software and data solutions, and developing data models and processes. The engineer will leverage ETL frameworks and collaborate with infrastructure, product, and engineering teams to build cross-platform ETL and reporting frameworks.

Network Engineer role focused on data center infrastructure, cable and fiber connectivity, and network deployment. The role involves using coding and automation to improve data center operations and processes, with a specific emphasis on integrating AI tools for workflow optimization and demonstrating ongoing AI skill development.

Data Scientist role at Meta focused on building machine learning systems and models for user behavior analysis and production systems, working with large datasets and partnering with product and engineering teams.

Meta is seeking an experienced engineer for their Data Center Production Operations team. The role involves supporting platform health, performing root cause analysis of complex technical issues, leading the introduction of new hardware, and driving corrective actions for hardware/software issues at scale. The candidate should have strong Linux and server hardware skills, with experience in areas like hardware repair, OS management, tooling, automation, and networking. The role also emphasizes using data analytics to optimize server uptime and utilization, and requires participation in on-call rotations. While not directly building AI models, the role requires integrating AI tools to optimize workflows, adhering to ethical AI practices, and demonstrating ongoing AI skill development.

This role focuses on providing technical support and engineering assistance to Meta's global partners, particularly in areas like Fintech and Telecommunications. The engineer will manage integrations, troubleshoot issues, and collaborate with internal teams to improve products. While the role involves using and understanding AI tools for workflow optimization and adhering to ethical AI practices, its core function is partner support and integration, not direct AI/ML model development.

Concept Modeling Designer for hardware products, focusing on 3D modeling in CAD software. The role involves iterating on digital 3D models, exploring design ideas, and combining usability, aesthetics, and technical insight. It requires collaboration with cross-functional teams and experience with various modeling techniques and rendering programs. The role also emphasizes integrating AI tools to optimize workflows and adhering to ethical AI practices, with ongoing AI skill development being important.

Meta is seeking a Senior Security Engineer to lead cross-organizational technical teams in solving complex security problems. The role involves driving engineering excellence, managing security risks, and integrating AI tools to optimize workflows while adhering to ethical AI practices. This position requires extensive experience in system design, threat modeling, risk assessment, and building engineered controls.

This role focuses on the electrical engineering and integration of sensor hardware for Meta's next-generation smart glasses. The engineer will be responsible for the end-to-end product development lifecycle of sensor solutions, from prototyping to mass production, collaborating with cross-functional teams and external partners. While the role mentions integrating AI tools for workflow optimization and adhering to ethical AI practices, the core function is hardware engineering, not AI/ML model development.

Meta is seeking talented principal engineers to join their teams in building cutting-edge products that connect billions of people around the world. This role involves overseeing complex technical problems, building new features, and improving existing products across various platforms. The engineer will lead long-term technical vision and roadmap for large cross-company efforts, identify and resolve performance and scalability issues, and reduce technical debt. The role also requires integrating AI tools to optimize workflows and adhering to responsible AI practices.

Software Engineer, Infrastructure role at Meta focused on building cutting-edge products and improving existing ones. Responsibilities include collaborating with cross-functional teams, implementing UIs, analyzing and optimizing code, architecting scalable systems, and resolving performance issues. The role requires significant programming experience and the ability to integrate AI tools to optimize workflows and adhere to ethical AI practices, with an emphasis on ongoing AI skill development.

Meta Robotics Studio is seeking a Research Engineer to tackle challenging mechanical/electrical design problems for robotics, balancing ergonomics, performance, reliability, and usability while maintaining safety and quality standards. The role involves concept development, analytical modeling, prototype design, construction, and testing, with potential research into Electro-mechanics, Sensor and Communication, and/or Planning and Control. The engineer will also integrate AI tools to optimize workflows and adhere to ethical AI practices.

Data Engineer role focused on designing, building, and optimizing large-scale data solutions and datasets for Meta's family of applications. The role involves collaborating with various teams to improve user experience and business strategy through data, with a strong emphasis on data architecture, modeling, ETL, and ensuring data quality and security. While the role mentions integrating AI tools and responsible AI practices, its core function is data engineering, not direct AI/ML model development.

This role is for a Data Engineer focused on building and optimizing large-scale data solutions and models to support product development and user experience across Meta's applications. The role involves data architecture, ETL, data modeling, logging, and influencing product decisions through data-driven insights. While not directly building AI models, the role is expected to integrate AI tools to optimize workflows and adhere to ethical AI practices.

Production Engineers (PEs) at Meta are specialized software engineers who develop the underlying infrastructure for all of Meta's products and services, forming the backbone of every major engineering effort that keeps our platforms running smoothly and scaling efficiently. PEs work across Meta’s product and infrastructure teams to ensure our services are reliable, performant, and capable of supporting billions of users. This means writing high‑quality code, solving complex problems in live production, and tackling challenges that impact over 2 billion people worldwide. The role involves owning back-end services, leading engineering teams, writing and reviewing code, debugging complex systems, and participating in on-call rotations. Qualifications include extensive experience in *nix, network fundamentals, coding in standard languages, configuring infrastructure applications, and knowledge of web technologies. A demonstrated ability to integrate AI tools to optimize workflows and drive impact, along with experience in responsible AI practices and ongoing AI skill development, is also required.

Production Engineers (PEs) at Meta are specialized software engineers who develop the underlying infrastructure for all of Meta's products and services, forming the backbone of every major engineering effort that keeps our platforms running smoothly and scaling efficiently. PEs work across Meta’s product and infrastructure teams to ensure our services are reliable, performant, and capable of supporting billions of users. This means writing high‑quality code, solving complex problems in live production, and tackling challenges that impact over 2 billion people worldwide. The role involves integrating AI tools to optimize workflows and adhering to responsible AI practices.