Machine Learning Engineer at Meta in Tel Aviv, focused on building the next generation financial identity platform using Graph foundation models and delivering ML applications for financial identity signals.

Lead QA Engineering for AI-powered products at Meta, focusing on testing text, image, and voice models. Develop and execute test strategies, including prompt engineering, scenario-based, and adversarial testing, ensuring robustness, reliability, and ethical standards. Collaborate with AI/ML teams, leverage AI tools for QA workflows, and drive quality for billions of users.

Creative Coder role focused on developing advanced audio systems, prototypes, and pipelines, with a strong emphasis on integrating AI and agentic behavior into audio experiences. The role involves supporting AI Audio teams, implementing models, building prototypes, and leveraging code as a design medium to bridge product goals and engineering implementation, particularly in AR/VR and immersive environments.

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.

Software Engineer focused on building and integrating AI-native features, particularly generative AI and LLMs, into user-facing products. This role involves prompt engineering, RAG implementation, agentic workflow design, and ensuring quality and responsible AI practices for AI-driven experiences.

Software Engineer focused on building and integrating AI-native features, LLMs, generative AI, and agentic workflows into user-facing products. Responsibilities include prompt engineering, RAG implementation, agent development, and ensuring quality and scalability of AI-driven experiences.

Software Engineer focused on building and integrating AI-native and generative AI features into user-facing products. Responsibilities include prompt engineering, RAG implementation, developing agentic workflows, and ensuring quality and reliability of AI-driven experiences. Requires experience with AI/ML techniques, agent design, and responsible AI practices.

Meta is looking for an AI Software Engineer to join their R&D teams, focusing on AI Infrastructure and ML Systems. The role involves applying machine learning techniques to optimize intelligent systems, developing custom architectures, defining use cases, and evaluating approaches. The candidate will also drive technical direction, collaborate with leaders, and mentor engineers. Experience in ML systems, AI algorithms, distributed systems, and responsible AI practices is required, with a preference for C/C++ or Python development.

Software Engineer focused on AI Infrastructure, optimizing ML systems and hardware acceleration for Meta's products. Responsibilities include system design, data-driven analysis, cross-team collaboration, and mentoring. Requires expertise in ML infrastructure, C++/Python, distributed systems, and ethical AI practices.

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.

Meta is seeking a Manager for Global Fulfillment and Transportation to lead a team responsible for day-to-day operations and strategic programs, including agentic AI workflows. The role requires experience in logistics execution and program management, with a focus on architecting systems and AI workflows to improve speed, cost, and resilience. Responsibilities include operational oversight, process-to-system translation, leading AI workflow design and scaling, managing program portfolios, driving cost transformation, and developing the team.

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.

Software Engineer, Machine Learning at Meta focused on developing and testing operating systems-level software, compilers, and network distribution software for massive social data and prediction problems. The role involves applying deep learning, data regression, and rules-based models to classification and optimization tasks such as fraud detection, ad ranking, recommendation systems, and spam detection, with a focus on building highly scalable and efficient systems.

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.

Machine Learning Engineer at Meta focused on developing and optimizing large-scale machine learning systems for social data prediction problems, including ranking, classification, and recommendation. The role involves applying advanced deep learning techniques and leveraging parallel computing environments to build highly scalable algorithms and tools.

Machine Learning Engineer at Meta focused on designing, implementing, and productionizing ML models for ad ranking, targeting, and conversion optimization. This role involves leading experiments, building scalable ML pipelines, and collaborating with cross-functional teams. Requires a Master's degree and 3 years of experience in ML, deep learning, distributed computing, and Python/C++.

Meta is seeking a Marketing Technology Manager to design and develop foundational infrastructure for an AI-first, agent-led marketing operating model. This role focuses on enabling autonomous AI agents to plan, execute, and optimize marketing campaigns by building data foundations, evaluation frameworks, and platform architecture. The position involves integrating LLMs and AI agents into marketing technology workflows, ensuring platform reliability, and supporting organizational transformation towards agentic marketing.

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.

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.

Software Engineer, Machine Learning at Meta focused on developing and testing operating systems-level software, compilers, and network distribution software for massive social data and prediction problems. The role involves working on classification and optimization problems using deep learning, data regression, and rule-based models to build highly scalable systems and algorithms.

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.

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.

Meta's Creative Audio team is seeking a Creative Coder to collaborate with Engineering and Product Design on advanced audio systems for various products (phone, VR, AR). The role involves developing prototypes, optimizing performance, and leveraging AI tools like LLMs and prompt engineering to create innovative audio experiences. Responsibilities include building AI audio pipelines, integrating generative sound/music, speech synthesis, and RAG methodologies, while adhering to ethical AI practices and potentially using agent orchestration.

Meta is seeking a Data Engineering Manager to lead a team specializing in AI/ML solutions for operations. The role involves overseeing the development and deployment of AI/ML models to automate and optimize global operations, focusing on scalable backends for post-monitoring and measurable cost reduction. The manager will partner with various teams to identify opportunities, build partnerships, and drive end-to-end project delivery, establishing best practices in data engineering and model development.

Director of Treasury Technology, Controls & Infrastructure at Meta, responsible for leading the technology and systems that enable treasury operations. This role involves driving AI and automation initiatives to create highly automated treasury operations and insights, owning the roadmap for treasury and banking systems infrastructure, and designing process frameworks and controls. The position requires a blend of treasury expertise and modernizing systems, with a focus on integrating AI tools for workflow optimization and ensuring responsible AI practices.

Meta is seeking a Sr. Data Scientist to work with large datasets, solve complex problems using analytical and statistical approaches, and partner with Product and Engineering teams. The role involves informing product decisions, working with data infrastructure (Hadoop, Hive, MySQL), authoring pipelines (SQL, Python ETL), guiding experimentation, and developing machine learning models including label design and evaluation. The scientist will leverage Python and R to make strategic business decisions, apply causal inference, design/evaluate experiments, monitor metrics, build dashboards, and develop models of user behavior. This includes influencing product teams through presentations, communicating results, and spreading best practices. The role requires applying predictive modeling, machine learning, and experimentation/causal inference methods regularly.

Machine Learning Engineer at Meta focused on developing and deploying scalable ML models for consumer-facing problems like fraud detection, ad/feed/search ranking, and spam detection. The role involves research, design, development, testing, and production deployment of these models, working with data pipelines, and collaborating with cross-functional teams.

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.

Meta is seeking experienced Software Engineers to build and improve cutting-edge consumer products, focusing on connecting people globally. This role involves developing innovative features, optimizing performance, and architecting scalable systems, with a strong emphasis on integrating and applying AI tools responsibly to drive impact and efficiency.

This role is for a Principal Machine Learning Engineer focused on financial risk management at Meta. The individual will be responsible for strategizing and delivering ML solutions to minimize financial losses, optimize existing ML models, and lead the research and introduction of advanced technologies like deep learning and LLMs. They will also collaborate on the next-generation ML architecture, identify new business opportunities, and mentor other senior ML engineers.

Software Engineer, Machine Learning role at Meta in Singapore, focusing on building cutting-edge products that connect billions of people. The role involves developing and shipping ML models at scale, integrating AI tools to optimize workflows, and staying current with emerging AI technologies. Requires experience in ML, recommendation systems, or AI, with a strong software engineering background.

Software Engineer, Machine Learning at Meta in London, UK. The role involves building cutting-edge products, improving existing ones, and advancing user experience. Responsibilities include collaborating with cross-functional teams, implementing UIs, analyzing code, architecting scalable systems, and resolving performance issues. Qualifications include experience with data analysis, programming, information retrieval, NLP, AI tools integration, ethical AI practices, and AI skill development like prompt engineering and agent orchestration.

Software Engineer, Machine Learning at Meta focused on building cutting-edge products by integrating AI tools, implementing ethical AI practices, and developing skills in areas like prompt engineering and agent orchestration. The role involves collaborating with cross-functional teams, architecting scalable systems, and optimizing code for performance.

Meta is looking for a principal engineer to lead teams in building and improving AI-powered products that connect billions of people globally. The role involves driving technical direction, developing roadmaps, and mentoring stakeholders, with a focus on integrating AI tools and adhering to responsible AI practices.

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.

This role is for an Incident Response Team Analyst in EMEA, focusing on evaluating threats, risks, and user privacy related to time-critical emergency escalations. The analyst will review and assess inbound escalations, make decisions based on complex factors, coordinate with internal and external partners (including law enforcement), and ensure user safety. The role requires strong decision-making, documentation, and collaboration skills, with the ability to handle potentially graphic content. While the role involves using and developing skills in AI tools for workflow optimization, its core function is incident response and security, not direct AI/ML model development.

Electrical Engineer for Wearables at Meta, focusing on designing, developing, and integrating electrical systems for consumer hardware. Responsibilities include schematic design, board layout, hardware bring-up, debugging, and collaborating with cross-functional teams. The role requires experience with high-volume product delivery, complex electrical systems, and integrating AI tools to optimize workflows. Familiarity with specific architectures (Qualcomm SoC), high-speed signaling, and ultra-low-power wearable design is expected. Experience with ethical AI practices and ongoing AI skill development is also mentioned.

Infrastructure Engineer focused on building fullstack tools for Robotics automation in data centers, with an emphasis on integrating AI tools to optimize workflows and drive efficiency.

Software Engineer role focused on developing audio software for consumer devices, with an emphasis on integrating AI tools to optimize workflows and improve efficiency. The role involves cross-disciplinary collaboration, debugging complex problems, and shipping software products on large code bases. Experience with embedded systems, audio stacks, and AI skill development is required.

Hardware Electrical Engineer role focused on designing, developing, and integrating electrical systems for consumer hardware and large-scale infrastructure. The role involves schematic design, board layout, hardware bring-up, debugging, and collaboration with cross-functional teams. A key aspect is the demonstrated ability to integrate AI tools to optimize workflows and drive impact, along with adherence to ethical AI practices and ongoing AI skill development.

Meta is seeking a Manager for Data Center Infrastructure Category Management, focusing on Power and Connectivity. This role involves developing sourcing strategies, managing supplier relationships, and optimizing costs and risks for critical infrastructure, including AI and custom silicon development. The position requires leadership experience in engineering and supply chain, with a focus on hyperscale data centers. While the role involves integrating AI tools for workflow optimization and adhering to ethical AI practices, its core function is in supply chain management for infrastructure, not direct AI/ML model development.

Meta is seeking a leader to own the sourcing strategy for memory and storage infrastructure, optimizing cost and risk across the supply chain. This role involves influencing the memory and storage roadmap, managing supplier relationships, and ensuring timely delivery of quality infrastructure products. The ideal candidate will have experience in supply chain strategy, negotiation, and leading teams, with a demonstrated ability to integrate and develop AI tools for workflow optimization and ethical AI practices.

Silicon System Validation Engineer responsible for designing, developing, and validating complex silicon systems, including ASICs and SOCs. This role involves leading the development and execution of validation plans, coordinating test and debug activities, and collaborating with cross-functional teams. The role also requires ongoing AI skill development and integration of AI tools into workflows.

Meta Business Engineer role focused on identifying new features, products, and business opportunities, enabling partner businesses to realize their potential. The role involves producing scalable code, architecting solutions, and collaborating with clients to understand challenges and meet business goals using Meta's platforms. It requires a strong understanding of Meta's products and technologies, with an emphasis on shipping production-level code, conducting code reviews, and building stakeholder relationships. The role also involves integrating AI tools to optimize workflows and adhering to ethical AI practices.

Industrial Designer for Meta Reality Labs focusing on consumer electronics and wearable tech. Responsibilities include designing and developing products, combining usability, aesthetics, and technical insight. Qualifications include a Bachelor's degree, 5+ years of experience, strong communication and problem-solving skills, proficiency in 3D modeling software, and experience with mass production. The role requires demonstrated ability to integrate AI tools to optimize workflows, adhere to ethical AI practices, and develop ongoing AI skills.

This role focuses on engineering and deploying the network infrastructure that supports AI, rather than directly building AI models or systems. The candidate will lead technical strategy, architecture, and execution for network deployments, manage vendor relationships, and mentor team members. While the role involves integrating AI tools for workflow optimization and adhering to ethical AI practices, its core function is in network engineering for AI backbones.

Technical Program Manager for Business Engineering at Meta, focusing on driving advertiser-centric projects and integrating AI tools to optimize workflows and ensure ethical AI practices. The role involves managing cross-functional programs, developing project plans, mitigating risks, and aligning with engineering teams.

Experienced full-stack software engineer to build and improve large-scale consumer products and features for Facebook, driving technical direction, long-term vision, and cross-functional collaboration. The role requires integrating AI tools to optimize workflows and adhering to ethical AI practices.