Meta

Meta's Monetization Ranking AI Research team is seeking AI Research Scientists to advance AI/ML for personalized ads, focusing on ranking, retrieval, model architecture, and optimization. The role involves developing and implementing large-scale models, generative solutions, RL techniques, and causal learning, with a strong emphasis on research and publications in top-tier AI conferences, and taking ideas from research to production.

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.

Research Engineer role focused on building Meta's User Intelligence Engine for the Recommendation System, integrating Generative AI/LLMs with ranking expertise to deliver personalized experiences. Responsibilities include developing large-scale model architectures, leveraging transfer learning, optimizing training scalability, applying sequence learning, designing generative modeling for data augmentation, and deploying ML pipelines. Requires a Bachelor's degree in a relevant field, ML/deep learning/recommender systems experience, Python/PyTorch proficiency, and exposure to large-scale software patterns. Preferred qualifications include a Master's/PhD, publication record, generative AI/LLM/RecSys experience, and experience with large-scale ML model development.

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.

Research Scientist Intern role focused on optimization, privacy, and inference within Meta's Central Applied Science team. The internship involves improving Meta's products and infrastructure through scientific research, developing new methodologies, and potentially shipping advancements or authoring papers. Requires a PhD in a related technical field and expertise in empirical research and ML frameworks.

Research Scientist at Meta focused on developing and implementing novel quantitative and machine learning methods to answer product questions and generate insights. The role involves working with large datasets, applying advanced ML techniques like Bayesian modeling, reinforcement learning, and causal inference, and optimizing neural network models. The scientist will also draft software from scratch to implement these methods and collaborate with cross-functional teams.

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.

Product Manager to drive AI transformation at scale, evaluating AI solutions, championing AI-native strategies, and scaling AI best practices. Responsibilities include defining product vision, driving development with cross-functional teams, orchestrating execution with AI automation, and defining/running evaluations for AI-powered experiences. Requires experience building AI-native products and integrating AI tools to optimize workflows, with a focus on responsible AI practices and ongoing AI skill development.

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.

Research Engineer focused on advancing AI, ML, and RecSys technologies for personalized ads, aiming to maximize user utility and advertiser value. The role involves developing and implementing large-scale model architectures, sequence learning techniques, and generative modeling solutions for data augmentation, with a focus on integrating these into production systems that drive significant revenue.

Meta is seeking a PhD intern to work on machine learning systems and models for their Core Ads Growth team. The intern will develop scalable classifiers and tools, adapt ML methods for parallel environments, and contribute to building ML systems for Meta's products. The role involves research and development in areas like deep learning, NLP, recommendation systems, and computer vision.

Research Scientist Intern at Meta's Reality Labs focusing on machine perception for virtual and augmented reality. The role involves developing algorithms for computer vision, machine learning, and sensor fusion for tracking, action recognition, and 3D representation, with a focus on efficient deep learning and real-time applications.

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.

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.

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.

Technical Program Manager to lead cross-functional programs for FAIR, focusing on compute infrastructure, data management, and generative AI projects. The role involves partnering with researchers and engineers to deliver scalable solutions, guide technical strategy, and ensure the productionization of generative models, while adhering to ethical AI practices and evaluating model performance.

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.

Director of Data Licensing Partnerships responsible for sourcing, negotiating, and managing data licensing partnerships to enable Meta's AI and product innovation. This role involves defining strategy, securing partnerships, managing relationships with data providers and labeling partners, leading commercial and technical negotiations, and ensuring compliance. The role requires leading a global team and working closely with AI, Product, Legal, and Engineering teams to integrate partner data assets for AI and product development.

Research Scientist Intern role focused on audio and hearing science, involving the design and analysis of audiologic experiments, development of novel algorithms for speech enhancement and hearing assistance, and collaboration with researchers. Requires a PhD in a related field and experience in experimental design, programming, and signal processing.

Research Scientist at Meta focused on developing and implementing optimization algorithms, large-scale distributed systems, and machine learning models for various platforms. The role involves data analysis, system engineering, and creating tools for data migration and product development.

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++.

Applied Research Scientist role focused on developing large-scale physics simulation software for robotics and embodied AI applications, involving computational mathematics, physics simulations, and controls for embodied agents. Requires C++ and high-performance computing experience.

Director, Data Science - AI for Work (AI4W) Ecosystem at Meta. This role is a founding senior IC on a new analytics team focused on integrating AI into Meta's products and processes. The role involves shaping product development, measuring impact, strategizing investments, and guiding teams with data-driven insights. Responsibilities include collaborating with cross-functional partners, contributing to technical vision, building and improving AI development/experimentation/measurement systems, and leading data scientists and managers. Requires experience in predictive modeling, ML, experimentation, ethical AI practices, and AI skill development like prompt engineering and agent orchestration.

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.

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.

Product Manager for Cross-Meta Foundations APAC Products, focusing on commerce and creator monetization. The role involves defining product strategy, driving adoption, and scaling AI-native solutions and best practices across APAC markets. Key responsibilities include translating AI capabilities into product visions, developing AI strategies with evals and data strategies, and fostering experimentation and learning.

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.

Product Manager to lead AI-native product development at scale, defining AI strategies, overseeing product vision, roadmap, and execution. This role requires critically evaluating AI's role, translating capabilities into product visions, developing comprehensive AI strategies with evals and data strategies, and scaling AI best practices across product teams. The PM will orchestrate execution using AI automation and human oversight, foster experimentation, and mentor others on AI-native practices.

Meta's SuperIntelligence Lab is seeking a Research Data Program Manager to lead human data annotation programs for ML research and model development. The role involves partnering with researchers, product, and engineering teams to create high-quality datasets, manage external vendors, and build scalable processes and quality programs. The ideal candidate will have strong program management skills, technical fluency, and experience with various data types and annotation tooling.

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.

Meta SuperIntelligence Lab is seeking a Research Data Program Manager to lead human data annotation programs for ML research and model development. The role involves partnering with researchers, product, and engineering teams to translate research needs into high-quality datasets, manage external vendors, and build scalable processes and quality metrics. The ideal candidate will have strong program management experience, technical fluency, and familiarity with various data types and workflows including RLHF, multimodal, and safety labeling.

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.