Currently tracking 108 active AI roles, down 14% versus the prior 4 weeks. Primary focus: Agent · Research.
| Title | Stage | AI score |
|---|---|---|
| Data Engineer Design, build, and launch data pipelines and tools to generate business insights and support data-driven decisions. Analyze user needs, design software and data solutions, and develop data models and processes. Leverage ETL frameworks and interface with infrastructure, product, and engineering teams. | — | 0 |
| Data Engineer Develop, design, build, and launch data pipelines to move data across systems and build the next generation of data tools that generate business insights for a product. Analyze user needs and software requirements to determine workability and to offer support for end users on data usage. Design, architect, and develop software and data solutions that help product and business teams make data-driven decisions. Rethink and influence strategy and roadmap for building efficient data solutions and scalable data warehouse plans. Design, develop, test, and launch new data models and processes into production, and provide support. Leverage homegrown extract, transform, and load (ETL) framework as well as off-the-shelf ETL tools, as appropriate. Interface closely with data infrastructure, product, and engineering teams to build and extend cross platform ETL and reports generation framework. Identify data infrastructure issues and drive to resolution. Perform data analysis to generate business insights. Interface with engineers, product managers and product analysts to understand product goals and data needs. Build data expertise and own data quality for allocated areas of ownership. Help manage data warehouse plans for a product or a group of products. Support critical data processes running in production. |
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| Software Engineer, Android Software Engineer role focused on developing and optimizing Android applications, working with product and design teams to create new user experiences. Responsibilities include research, design, development, testing, and maintenance of operating systems-level software, compilers, and network distribution software for Android. | — | 0 |
| Environmental, Health & Safety Lead Meta is seeking an Environmental, Health & Safety (EHS) Lead for their Data Center Facility Operations team. The role involves developing and implementing EHS programs, ensuring compliance with regulations, delivering training, and managing incident investigations to maintain a safe working environment for employees and partners. | — | 0 |
| Data Engineer, Analytics Data Engineer responsible for designing, modeling, and implementing data warehousing activities, building data models and visualizations, collaborating with cross-functional teams, defining SLAs, improving data logging, implementing security and governance, solving data integration problems, optimizing pipelines, and influencing product teams. Requires a Bachelor's degree and experience in big data ecosystems, ETL, object-oriented programming, schema design, SQL, data analysis, and MapReduce or MPP systems. | — | 0 |
| Software Engineer Software Engineer role at Meta focused on developing infrastructure for machine learning models, including building ML infrastructure, systems for evaluating models, and production deployment pipelines. Requires a Bachelor's degree in a relevant technical field and proficiency in languages like C++, Python, Java, and distributed systems. | — | 0 |
| Data Scientist, Analytics Data Scientist role focused on quantitative analysis, data mining, and interpreting statistical data to inform product decisions and development at Meta. Requires a Master's degree and two years of experience in data analysis, SQL, Python, statistical software, A/B testing, machine learning techniques, ETL, and distributed systems. | — | 0 |
| Data Engineer Data Engineer role focused on data analysis, ETL processes, and data warehousing to generate business insights and support product goals. Requires experience with Python/Java, SQL, Big Data systems, and data architecture. | — | 0 |
| Data Engineer Data Engineer responsible for designing, modeling, and implementing data warehousing activities, building data models and visualizations, and optimizing data pipelines. Requires experience in ETL, SQL, data analysis, and data warehousing architecture. | — | 0 |
| Data Engineering Manager Data Engineering Manager at Meta responsible for planning, directing, and coordinating Business Intelligence (BI) and Data Warehousing activities across a product vertical. This role involves building and managing a data engineering team, designing data models and pipelines, ensuring data quality, and delivering impactful dashboards and visualizations. | — | 0 |
| Software Engineer (Systems) Software Engineer role focused on building and testing operating systems-level software, compilers, and network distribution software for large distributed components. The role involves designing core backend software components, handling large-scale data storage and synchronization, and improving system efficiency, scalability, and stability. Requires a Master's degree and 3 years of experience in C/C++, Java, Go, or C#, building large-scale infrastructure, and distributed systems. | — | 0 |
| Data Engineer Data Engineer responsible for designing, modeling, and implementing data warehousing activities, building data models and visualizations, collaborating with engineers and data scientists, defining SLAs, improving data logging efficacy, implementing security models, solving data integration problems, optimizing pipelines, and influencing product teams. | — | 0 |
| Data Engineering Manager Meta is seeking a Data Engineering Manager to drive the vision for Business Intelligence (BI) and Data Warehousing across a product vertical. The role involves defining processes for operational excellence, building and scaling a high-quality BI and Data Warehousing team, and managing data warehouse plans. Responsibilities include designing, building, and launching new data models and pipelines, managing development of data resources, ensuring data quality, and delivering dashboards and visualizations with defined SLAs. | — | 0 |
| Network Engineer Network Engineer responsible for resolving and diagnosing computer server issues at scale, supporting cloud scale compute and storage environments, and troubleshooting hardware and Linux OS related issues. The role involves configuring and troubleshooting routing and switching protocols, working within Meta's ticketing system, and assisting with data center operations and documentation. | — | 0 |
| Software Engineer, Product Software Engineer, Product role at Meta focusing on developing, designing, and testing software applications and systems for various products. Requires a Bachelor's degree and 60 months of experience in coding, building large-scale infrastructure, creating web applications, and implementing web interfaces. | — | 0 |
| Software Engineer, Product Software Engineer role focused on developing, designing, and testing software applications and systems for Meta's products and services. Requires a Bachelor's degree and 24 months of experience in coding, building large-scale infrastructure, creating web applications, relational databases, and implementing web interfaces. | — | 0 |
| Data Scientist Data Scientist role at Meta focused on interpreting statistical data to inform product development and identify user interaction trends. Requires a Master's degree and experience with statistical software, quantitative analysis, and machine learning techniques. | — | 0 |
| Data Engineer, Analytics Data Engineer responsible for designing, modeling, and implementing data warehousing activities, building data models and visualizations, collaborating with engineers and data scientists, defining SLAs, improving data logging frameworks, implementing security models, solving data integration problems, optimizing pipelines, and influencing product teams. Requires a Master's degree and 3 years of experience in big data ecosystems, ETL, object-oriented programming, schema design, SQL, data analysis, MapReduce/MPP systems, and Python. | — | 0 |
| Video Infrastructure Operations Regional Engineer Video Infrastructure Operations Regional Engineer responsible for supporting and maintaining Meta's audio, visual, videoconferencing, and collaboration services. This role involves working with cross-functional teams, providing white-glove support to C-level executives, managing contractors, analyzing call quality, and utilizing various technical tools for monitoring and resolution. | — | 0 |
| Data Engineer, Analytics Meta is seeking a Data Engineer, Analytics to design, model, and implement data warehousing activities. This role involves building data models and visualizations, collaborating with cross-functional teams, defining SLAs, improving data logging frameworks, implementing security and governance processes, solving data integration problems, and optimizing data pipelines and dashboards. The ideal candidate will have experience with big data ecosystems, ETL design, object-oriented programming, schema design, SQL, data analysis, and Python. | — | 0 |
| Data Scientist Data Scientist role focused on quantitative analysis, data mining, and data presentation to inform product decisions and identify trends. Responsibilities include collecting, organizing, and interpreting statistical data, partnering with product and engineering teams, and working on problems of moderate scope. Requires a Bachelor's degree and experience with data querying, scripting languages, ETL, relational databases, and quantitative analysis techniques. | — | 0 |
| Software Engineer Software Engineer role at Meta focused on building and testing operating systems-level software, compilers, and network distribution software for large distributed components that run Facebook. The role involves creating web applications, building high-volume servers, and working on problems of moderate scope to connect people globally. Qualifications include a Bachelor's degree and 2 years of experience in coding, web applications, databases, software development tools, and distributed systems. | — | 0 |
| Enterprise Engineer Develop, design, create, modify, and/or test software systems for various software services. Build industry leading enterprise systems that are highly available, intuitive, scalable, and secure. Work with product managers, designers and other engineers to create software that optimizes for business metrics. Produce highly reliable and performant code with appropriate monitoring and alerting. Conduct design and code reviews to ensure scalability, performance and alignment with standards and best practices. Follow release management policies to ensure data integrity, compliance and system stability. | — | 0 |
| Data Engineer, Analytics Data Engineer responsible for designing, modeling, and implementing data warehousing activities, building data models and visualizations, collaborating with cross-functional teams, defining SLAs, improving data logging, implementing security and governance, solving data integration problems, optimizing pipelines, and influencing product teams. Requires a Master's degree and 1 year of experience in big data ecosystems, ETL, object-oriented programming, schema design, SQL, data analysis, and Python. | — | 0 |
| Data Engineer 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 for data-driven decisions, and influencing strategy for efficient data solutions and scalable data warehouse plans. Responsibilities include developing new data models and processes, leveraging ETL frameworks, and collaborating with infrastructure, product, and engineering teams. The role also involves identifying and resolving data infrastructure issues. | — | 0 |
| Data Scientist, Analytics Meta is seeking a Data Scientist, Analytics to apply 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, partnering with Product and Engineering teams, designing dashboards, and informing product decisions. | — | 0 |
| Data Scientist Meta is seeking a Data Scientist to perform large-scale data analysis, develop statistical models for segmentation, classification, optimization, and prediction to drive product OKRs. The role involves coding software programs and algorithms to automate analysis, build pipelines, and manage large datasets and models. Responsibilities include understanding user behavior, influencing cross-functional partners, identifying insights through data analysis, and designing dashboards. Qualifications include a Master's degree in a technical field with experience in experimental design, quantitative analysis techniques, and predictive modeling. | — | 0 |
| Network Engineer, Operations & Support Meta is seeking a Network Engineer, Operations & Support to provide technical expertise for deploying, migrating, and supporting network technologies in lab environments as part of the New Product Introduction (NPI) process. Responsibilities include design reviews, MOP preparation, equipment configuration and testing, and ensuring readiness for production-scale validation. The role requires extensive hands-on experience in network engineering and deployment, with advanced expertise in optical systems and IP networking. Experience with automation, scripting, and emerging network technologies is preferred. The posting also mentions integrating AI tools to optimize workflows and adhering to responsible AI practices, but the core function of the role is network engineering. | — | 0 |
| Network Engineer, Deployment & Support Meta is seeking a Network Deployment & Support Engineer to deploy and support its large-scale global network infrastructure, focusing on implementation, scaling, and troubleshooting. The role involves cross-functional collaboration, technical leadership, vendor management, and documentation, with a requirement for process improvement and automation. While the role is not directly building AI models, it emphasizes integrating AI tools for workflow optimization and adhering to responsible AI practices. | — | 0 |
| Software Engineer Software Engineer role focused on developing, designing, creating, modifying, and testing software applications or systems. Requires a Bachelor's degree and experience in coding, building large-scale infrastructure, creating web applications, relational databases, and implementing web interfaces. | — | 0 |
| Data Engineer Data Engineer responsible for architecting, implementing, and deploying data models and processes, performing data analysis for business insights, managing data warehouse plans, and supporting production data processes. Requires a Bachelor's degree in a related field and coursework/experience in Python/Java, SQL, statistical modeling, anomaly detection, and visualization tools. | — | 0 |
| Data Engineer Data Engineer role focused on designing, modeling, and implementing data warehousing solutions, managing data plans, and collaborating with cross-functional teams to meet data needs. Responsibilities include building data expertise, ensuring data quality and privacy, and supporting existing processes while implementing optimized solutions. | — | 0 |
| Software Engineer, Product Software Engineer role focused on developing, designing, and testing software applications and systems, with a strong emphasis on mobile frameworks using Android development languages and API architecture. The role requires proficiency in data analysis, programming, and software engineering, aiming to enhance user experiences on Android. | — | 0 |
| Data Engineer, Analytics Design, build, and launch data pipelines to move data across systems and build the next generation of data tools that generate business insights for a product. Analyze user needs and software requirements to determine workability and to offer support for end users on data usage. Design, architect, and develop software and data solutions that help product and business teams make data-driven decisions. Rethink and influence strategy and roadmap for building efficient data solutions and scalable data warehouse plans. Design, develop, test, and launch new data models and processes into production, and provide support. Leverage homegrown extract, transform, and load (ETL) framework as well as off-the-shelf ETL tools, as appropriate. Interface closely with data infrastructure, product, and engineering teams to build and extend cross platform ETL and reports generation framework. Identify data infrastructure issues and drive to resolution. | — | 0 |
| Data Engineer Data Engineer role focused on designing, modeling, and implementing data warehousing solutions, ETL processes, and data infrastructure to support Meta products. Responsibilities include data analysis, visualization, ensuring data quality and privacy, and optimizing data extraction, transformation, and loading processes. | — | 0 |
| Data Scientist Meta is seeking a Data Scientist to collect, organize, interpret, and summarize statistical data to contribute to company infrastructure growth. The role involves applying quantitative analysis and data mining to optimize various domains, with a focus on long-term strategic initiatives. Responsibilities include defining project roadmaps, driving execution through fast iteration, ensuring project coordination, and building scalable, statistically rigorous solutions using statistical and machine learning methodologies for large-scale web, mobile, and data infrastructure problems. | — | 0 |
| CMF Developer The role is for a Color, Material, and Finish (CMF) Developer on the RL Industrial Design team. The developer will support the industrial design team by implementing material design specifications, establishing quality standards, and developing new materials and production techniques. They will interface with industry and manufacturing partners, resolve design and manufacturing issues, and manage CMF product specifications. The role requires experience in consumer electronics, wearable technology, fashion, or eyewear, and a demonstrated ability to integrate AI tools to optimize workflows and drive impact, along with experience in ethical AI practices and ongoing AI skill development. | — | 0 |
| Partner Engineer Partner Engineer role at Meta focusing on Android and backend development, influencing product roadmaps, and managing technical relationships with strategic partners. Requires a Bachelor's degree and 5 years of experience in Android development, mobile/backend programming, and AOSP. | — | 0 |
| Production Engineer Production Engineer role at Meta focused on developing, designing, and testing software services for optimal performance and capacity. Responsibilities include owning back-end data warehouse and front-end services, infrastructure components, writing and reviewing code, developing documentation and capacity plans, and debugging complex software systems in real time. The role also involves serving as an escalation contact for service incidents. | — | 0 |
| Manufacturing Test Engineer(FATP) This role is for a Manufacturing Test Engineer in Meta's Reality Lab organization, focusing on developing and deploying hardware test systems with manufacturing partners. The engineer will troubleshoot test equipment and automation systems, define product test strategy, evaluate test equipment, and lead integration into data tracking networks. Responsibilities include developing and implementing manufacturing test strategy, designing and assembling test setups, defining test requirements, troubleshooting issues, and coordinating with various teams (Engineering, Supply Chain, Manufacturing, Quality, Vendors). The role requires experience in FATP testing, consumer electronics vendors, hardware development, test automation, and managing vendor teams. While the role mentions integrating AI tools and adhering to ethical AI practices, its core function is in manufacturing test engineering, not AI/ML development. | — | 0 |
| Production Engineer Production Engineer role at Meta focused on developing, designing, and testing software services for optimal performance and capacity. Responsibilities include owning back-end and front-end services, infrastructure components, writing and reviewing code, developing documentation and capacity plans, and debugging complex software systems in real-time. The role also involves serving as an escalation contact for service incidents. | — | 0 |
| Data Engineer, Analytics Meta is seeking a Data Engineer, Analytics to design, model, and implement data warehousing activities. This role involves building data models, collaborating with cross-functional teams, defining SLAs, improving data logging frameworks, implementing security and governance processes, solving data integration problems, optimizing pipelines, and influencing product teams to identify data opportunities. The ideal candidate has a Bachelor's degree and 60 months of experience in big data ecosystems, ETL, object-oriented programming, schema design, SQL, data analysis, and Python. | — | 0 |
| Business Engineer Meta is seeking a Business Engineer to build new products and improve existing ones in collaboration with Meta product engineering teams and cross functional partners to meet business needs. The role involves designing and building end-to-end systems, launching plan strategies, and leveraging technical and soft skills to build productive relationships with partners and resolve complex technical and business needs. | — | 0 |
| Data Scientist Data Scientist role at Meta focusing on quantitative analysis, experimentation, data mining, and presenting data to develop product strategies. Responsibilities include identifying and measuring product success, defining and testing opportunities for product improvement, and partnering with cross-functional teams to drive product strategy. | — | 0 |
| Data Scientist Data Scientist role focused on operations research, data mining, and analytics to drive insights and improve Meta's operations. Involves data querying, building analytical models, and partnering with Product and Engineering teams. | — | 0 |
| Software Engineer Software Engineer role focused on developing, designing, and testing mobile and desktop web applications. Responsibilities include architecting front-end systems, implementing user interfaces, optimizing performance, and collaborating with cross-functional teams. Requires a Master's degree and experience with JavaScript, HTML/CSS, Browser APIs, and front-end frameworks like React, Vue, or Angular. | — | 0 |
| Software Engineer Software Engineer role at Meta focused on developing, designing, creating, modifying, and testing software applications or systems. Requires a Bachelor's degree in a relevant field and experience in coding, building large-scale infrastructure, creating web applications, relational databases, and implementing web interfaces. | — | 0 |
| Security Engineer Meta is seeking a Security Engineer to build and configure security systems, develop security software tools for threat monitoring, and create scalable, distributed security solutions for detection signals. The role involves hardening infrastructure, assessing security of core systems, and mitigating network incidents. | — | 0 |
| Data Engineer, Analytics Data Engineer responsible for designing, modeling, and implementing data warehousing activities, building data models and visualizations, collaborating with cross-functional teams, defining SLAs, improving data logging, implementing security and governance, solving data integration problems, optimizing pipelines, and influencing product teams. Requires a Bachelor's degree and two years of experience in big data ecosystems, ETL, object-oriented programming, schema design, SQL, data analysis, and Python. | — | 0 |
| Data Engineer Meta is seeking a Data Engineer to design, model, and implement data warehousing activities, build data models and visualizations, and optimize data pipelines. The role involves collaborating with engineers, product managers, and data scientists, defining SLAs, improving data logging efficacy, implementing security models, and solving data integration problems. | — | 0 |
