Meta

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.

Research scientist intern focusing on evaluating image quality in augmented reality (AR) displays by pioneering foundational research into how quality is perceived in see-through displays. The role involves designing and conducting psychophysical experiments and collaborating with interdisciplinary teams.

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 Scientist (Product) at Meta, focusing on quantitative analysis, data mining, and machine learning techniques to inform product decisions and development for Meta's consumer products. Requires a Master's degree and experience in applied statistics, A/B testing, and large-scale data processing.

Data Scientist role focused on quantitative analysis, data mining, and presenting data to inform product decisions and identify trends. The role involves partnering with Product and Engineering teams, and may include work on product operations, exploratory analysis, product influence, and data infrastructure. Requires a Master's degree and experience in quantitative analysis, data querying (SQL), scripting (Python), statistical software, applied statistics/experimentation (A/B testing), machine learning techniques, ETL, relational databases, large-scale data processing, and quantitative analysis techniques.

Meta is looking for a Product Policy Manager to provide policy guidance for GenAI products, focusing on free expression, risk mitigation, and compliance with regulations. The role involves collaborating with cross-functional teams, developing policies for multi-modal GenAI, and acting as an escalation point for policy issues. Experience in AI policy, technology policy, and developing policies for generative AI products is required.

This role is an Account Manager within Meta's Small and Medium Business Group (SMBG) sales organization. The primary focus is on leveraging AI-driven sales strategies to help businesses grow and transform. The role involves managing client accounts, identifying sales opportunities, educating clients on Meta's products, and collaborating with cross-functional teams. While the role utilizes AI tools and emphasizes AI skill development, its core function is sales and account management, not the direct building or shipping of AI models or systems.

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.

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.

Research Scientist Intern focused on human visual perception and AR display technology, aiming to improve user experience and accessibility by defining and implementing perceptual models for chromatic contrast. The role involves experimental design, translating research into practical guidance, and collaborating across disciplines. It also emphasizes integrating AI tools for workflow optimization and adhering to ethical AI practices.

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.

Business Development Manager to drive global partnerships for Meta's AI products and technologies, managing relationships from negotiation to launch, and working cross-functionally with product, engineering, legal, and marketing teams. Requires experience in AI products, driving AI initiatives, and understanding the AI ecosystem, with a focus on ethical AI practices and staying current with AI technologies.

UX Researcher focused on understanding user behavior and attitudes for consumer products, with a requirement to integrate AI tools into workflows and adhere to ethical AI practices.

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.

This role supports small businesses in growing on Meta's platforms by understanding their needs and integrating AI-driven guidance systems. It involves developing strategies, executing research projects, and collaborating with sales and product teams to drive advertiser adoption and value. The role requires analytical skills, experience in digital advertising measurement, and the ability to integrate AI tools responsibly.

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.

Product Growth Analyst role focused on driving growth for consumer products through data analysis, product ideation, and experimentation. Requires strong analytical skills, cross-functional collaboration, and experience with AI tools for workflow optimization and responsible AI practices.

The Commercial Sourcing Manager will lead commercial and business engagements for Cloud hardware, software, and services, focusing on developing sourcing strategies, negotiating with suppliers, and managing relationships to support Meta's AI goals. This role involves partnering with research and engineering teams, managing contracts, software licensing, and global supply chain strategies for cloud technologies.

This role involves strategic planning, operations, and analytics for Meta's sales and go-to-market teams. The lead will collaborate with senior stakeholders to identify and structure high-priority programs, develop strategy and operating models for a large budget portfolio, and partner with cross-functional teams on data architecture and user experience for technological solutions. A key aspect is partnering with data science to shape targeting/machine learning models and utilizing AI/ML techniques to analyze large datasets for growth strategies. The role also involves developing analytics capabilities, using Generative AI to automate SQL code, leading end-to-end analytical projects, and presenting data-driven insights to senior leadership. The ideal candidate has a Master's degree and significant experience in analytics, project management, and leading technology transformations, with a strong understanding of statistical modeling and customer targeting.

Product Designer for Meta's Wearables team, focusing on shaping future computing platforms. This role involves driving high-ambiguity projects, partnering with device teams, and refining user experiences. Responsibilities include turning conceptual ideas into valuable products, designing end-to-end flows, driving prioritization and execution, and influencing product direction. Qualifications include a Bachelor's degree in a related field, 8+ years of experience in building and shipping applications at scale, and expertise in interaction and visual design. The role requires strategic product thinking, executive communication, and demonstrated ability to integrate AI tools for workflow optimization, adhere to ethical AI practices, and develop ongoing AI skills.

Research intern focused on improving performance modeling and simulation methodologies for AR/MR silicon, with some exposure to integrating AI tools for workflow optimization and ethical AI practices.

Product Manager role at Meta focused on driving product vision, strategy, and roadmaps. The role involves working with cross-functional teams, defining product requirements, analyzing metrics, and integrating AI tools to optimize workflows and drive impact. Requires experience in full product lifecycle, ethical AI practices, and staying current with emerging AI technologies.

Product Designer at Meta to design user experiences, digital interfaces, graphics, and layouts for web and mobile-based applications, including Generative AI products. Collaborate with cross-functional teams to drive product design from conception to launch, translating complex initiatives into simple design flows. Requires experience designing and shipping AI-powered applications.

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.

Product Marketing Manager for Meta's business products, focusing on advertiser solutions. Responsibilities include market assessment, go-to-market strategy, and cross-functional collaboration. Requires experience in digital advertising and monetization, with a demonstrated ability to integrate and manage AI tools responsibly.

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 a Product Manager to drive product initiatives across the company, working with cross-functional teams to innovate and execute. The role involves identifying opportunities, defining strategies and roadmaps, integrating user insights and data, and managing the full product lifecycle. 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.

Product Designer role at Meta focused on shaping user experiences for their platforms, involving the entire product development lifecycle. The role requires integrating AI tools to optimize workflows and adhering to ethical AI practices, with an emphasis on ongoing AI skill 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.

This role is for a Data Scientist focused on analytics and product strategy, collaborating with cross-functional teams to drive product development and user value. While the role involves using AI tools and adhering to ethical AI practices, its core function is not building AI models but rather leveraging data and analytics to inform product decisions and strategy.

Product Designer at Meta focused on creating user experiences for their consumer products. The role involves the full product development lifecycle, from ideation to launch, and requires collaboration with cross-functional teams. While not directly building AI models, the designer is expected to integrate AI tools into their workflow, adhere to ethical AI practices, and demonstrate ongoing AI skill development.

Product Designer at Meta responsible for shaping innovative user experiences across Meta's products. This role involves end-to-end product development, from ideation to launch, focusing on user experience, interaction, and visual design. The designer will collaborate with cross-functional teams and is expected to integrate AI tools to optimize workflows and adhere to ethical AI practices.

Product Designer for Meta's Reality Labs, focusing on innovative user experiences for VR/AR/MR products. The role involves end-to-end product development, from concept to launch, with a strong emphasis on user experience, interaction, and visual design. Requires collaboration with cross-functional teams and experience with emerging technologies. The role also requires integrating AI tools to optimize workflows and adhering to ethical AI practices, with 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.

Product Manager role at Meta, focusing on driving product strategies and roadmaps, working with cross-functional teams, and defining product requirements. Requires 10+ years of PM experience, experience with full product lifecycle, and demonstrated ability to integrate AI tools and ethical AI practices.

Product Manager at Meta responsible for leading product areas, defining metrics, prioritizing problems, and driving product strategy and execution. This role involves working with cross-functional teams, gathering user research, and managing product lifecycles. A key aspect is integrating AI tools to optimize workflows, adhering to ethical AI practices, and demonstrating ongoing AI skill development.

Product Manager to lead and drive complex product areas, define product vision, develop roadmaps, and manage the full product lifecycle. This role involves working with cross-functional teams, analyzing data, and influencing strategy. A key aspect is integrating AI tools to optimize workflows and adhering to ethical AI practices, with an expectation of ongoing AI skill development.

UX Researcher focused on understanding user behavior and interactions with products, utilizing a variety of qualitative and quantitative research methods. The role involves collaborating with cross-functional teams to generate insights, evaluate designs, and contribute to product development. While not directly building AI, the role requires integrating AI tools into workflows, adhering to ethical AI practices, and developing AI skills.