Research Scientist role focused on designing and building LLM-orchestrated multi-agent systems for autonomous materials discovery pipelines. This involves integrating agentic AI with computational tools, developing RAG systems, and collaborating with domain experts to accelerate discovery timelines. The role contributes to both production systems and published research.

Research Scientist focused on embodied AI and robotics, developing novel data-driven paradigms and algorithms using machine learning and neural networks for both simulated and real-world robots. The role involves pushing the frontiers of AI in robotics, from low-level control to high-level intelligence, and requires experience with various modalities and research areas like reinforcement learning, vision, and LLMs.

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.

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.

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.

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.

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.

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'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.

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.