From zero experience to a guaranteed career in tech infrastructure. 🎓 The first cohort of America’s Workforce Academy just graduated! 4 weeks of hands-on fiber tech training — 100% free. Hear their stories: https://go.meta.me/4y8byot #AmericasWorkforceAcademy #FiberTech #ConstructionReady
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Meta's mission is to build the future of human connection and the technology that makes it possible. Our technologies help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive and intelligent experiences like virtual reality, wearables and AI to help build the next evolution in social technology. To help create a safe and respectful online space, we encourage constructive conversations on this page. Please note the following: • Start with an open mind. Whether you agree or disagree, engage with empathy. • Comments violating our Community Standards will be removed or hidden. Please treat everybody with respect. • Keep it constructive. Use your interactions here to learn about and grow your understanding of others. • Our moderators are here to uphold these guidelines for the benefit of everyone, every day. • If you are seeking support for issues related to your Facebook account, please reference our Help Center (https://www.facebook.com/help) or Help Community (https://www.facebook.com/help/community). For a full listing of our jobs, visit https://www.metacareers.com
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https://www.metacareers.com/
Enlace externo para Meta
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- Desarrollo de software
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- Más de 10.001 empleados
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- Menlo Park, CA
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- Empresa pública
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- Connectivity, Artificial Intelligence, Virtual Reality, Machine Learning, Social Media, Augmented Reality, Marketing Science, Mobile Connectivity, Open Compute y Metaverse
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AI is for everyone. Here's how our teams are making that real, every day. 𝙄𝙣 𝙩𝙝𝙞𝙨 𝙚𝙙𝙞𝙩𝙞𝙤𝙣: 🌐 Muse Glimmer — the first open-weight model from Meta Superintelligence Labs. 30B parameters, Apache 2.0, runs on consumer hardware. 🔬 DINO + SAM — Meta's open-source vision models powering an assistive robotics platform, unlocking the potential to bring smarter, safer mobility to 5.5M wheelchair users in the U.S. 🤖 Muse Code + Muse Spark 1.2 — a terminal coding agent and co-trained model, now available via Meta Model API with expanded global access. Read the full August edition of Behind the Build: ⬇️ ○ Subscribe to "Behind the Build": https://go.meta.me/4wyFTLE #BehindTheBuild #OpenSource #OpenWeight #MuseCode #MuseSpark #MuseGlimmer #TechNews
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How can AI improve people’s lives? That's the question at the center of our 2026 Global AI Open House series — where we recently welcomed researchers, engineers, and academic partners to our Bellevue office for a behind-the-scenes look at the work happening across Ranking and Foundational AI, Meta FAIR, and Reality Labs Research. 🗣️ “Building personal superintelligence for everyone is a vision of how people can do more. Not a centralized AI that does everything for you but one that helps you achieve your goals and make your life better.” — Luke Z., Research Director, Meta FAIR Our team thinks about AI as the ultimate enabler - personal superintelligence designed around your goals, your creativity, and your life. Want to be part of building AI that actually helps people? Explore roles at Meta 👉 https://lnkd.in/gEApMA6K #LifeAtMeta #MetaCareers #AIResearch
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Dr. Jihye Moon is a Research Scientist at Meta who builds multimodal AI — developing the very technology she depends on every day. 🧠 The kind that understands images, video, and speech together. Born completely deaf in Korea, Jihye didn’t hear sound until receiving a cochlear implant at the age of 20. Years later, AI-powered captioning brought her into the conversation. Meta Ray-Ban Display glasses opened real-time connection anywhere. Today, the technology she depends on and the technology she builds are the same thing. “I’m not just optimizing metrics on a benchmark. I’m building something I personally need and use.” Her mother is also deaf, but never had this access. That’s what drives her: building AI that opens doors for people like her mom. #LifeAtMeta #MetaCareers #AI #Accessibility
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Meta ha compartido esto
Introducing Muse Glimmer, an open-weight 30-billion-parameter model optimized for always-on local agent workflows. Keeping with our long tradition of sharing fundamental AI research, we’re releasing the weights under a permissive Apache 2.0 license. Muse Glimmer is small enough to run on consumer hardware like a Mac or PCs with performant GPUs, supporting local agents and function calling, local coding, and LLM-as-a-judge evaluation. The model delivers strong performance on key agentic use cases and benchmarks compared with leading models in its size category. Most foundation model deployments still depend on cloud infrastructure and network access. Running locally means AI that works anywhere, with or without a connection. Muse Glimmer is optimized for exactly that. 🔗 Read the research blog: https://lnkd.in/enw7a4St 🔗 Download Muse Glimmer on Hugging Face: https://lnkd.in/eK6x9MQc 🔗 Find resources: https://lnkd.in/eQ9GWHxE
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Mark Zuckerberg, CEO of Meta, just shared his philosophy and values for a positive AI future where everyone has access to superintelligence. Learn more: https://go.meta.me/4fOI7By
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🇰🇷 See you in Jeju! Meta is bringing our latest research to #KDD2026, the premier conference dedicated to advancing data mining, machine learning, and large-scale data analytics. 🇰🇷 Jeju, South Korea 🗓️ August 11-13, 2026 📍 Find us @ Booth #8, 9, 10 Stop by to meet our researchers, catch our exhibition talks, and dive into Meta’s accepted papers on topics including: 🧠 Generative Recommendation & Reasoning: Teaching models to reason, rank, and recommend — with verifiable logic 🤖 AI Agents & Multimodal Systems: Autonomous agents and LLMs that understand multimedia at scale ⚡ Scaling & Model Efficiency: Bending the scaling curve with Mixture-of-Experts, LoRA routing, and smarter architectures 📊 Retrieval & Measurement: From RAG vs. GraphRAG insights and CRAG-MM (our multi-modal, multi-turn RAG benchmark) to robust long-run metrics for real-world experimentation At Meta, we don't just publish — we build. Our research becomes the products billions rely on every day. And we're excited to connect with the world's top researchers to share our latest work. Passionate about advancing AI for everyone? 👉 Drop Resume: https://lnkd.in/gw79WghG 👉 RecSys Careers: https://lnkd.in/gdzrgQDw #KDD2026 #MetaCareers #DataScience #MachineLearning #LifeatMeta
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Meta ha compartido esto
Introducing Muse Code (beta), a terminal coding agent built for long-horizon software engineering, powered by our new Muse Spark 1.2 model. Muse Code plans, implements, and verifies complex changes across large repositories. It coordinates persistent sub-agents to solve difficult problems faster, more accurately, and with less intervention. Key Technical Highlights: 1️⃣ Async Background Agents: Muse Code operates with a simple agent loop enhanced by persistent background agents that stay active throughout each session rather than spawning per task, reducing latency, avoiding redundant information gathering, and minimizing the need for steering on difficult, multi-step tasks. 2️��� Runtime Design: Every model call, tool invocation, edit, and approval is logged to a single source of truth. This guarantees replay-exact state reconstruction, allowing long-running tasks to resume seamlessly after system failures. 3️⃣ Co-Trained Model: Muse Spark 1.2 was co-trained alongside Muse Code using rejection-sampled harness trajectories and context compaction. A self-improvement loop using Muse Spark 1.1 generated environments and auto-graded solutions to improve instruction-following precision. 4️⃣ Long-Horizon Impact: Iterative execution over 1,000+ tool calls (up to 24 hours) to autonomously optimize KDA and MLA GPU kernels on NVIDIA Hopper GPUs, achieving substantial improvements over baseline implementations. Muse Spark 1.2 is available today in Muse Code and in Meta Model API, with expanded global access and many new features on the horizon. Learn more: https://lnkd.in/eH59rFCQ
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The future of AI networking starts here. ⚡ Join us at @Scale: Networking 2026 on August 25 in Santa Clara, California. https://go.meta.me/4bQoYgf Hear from engineers and researchers building large-scale networks as they share insights on: 🔹 AI networking 🔹 Full-stack debugging 🔹 Optimizing network performance 🔹 Solving infrastructure challenges at scale If you’re passionate about networking, infrastructure, and AI, you won’t want to miss it. 🎟️ Register now: https://go.meta.me/4bQoYgf #Scale2026 #AtScale2026 #AINetworking #MetaEngineering #MetaCareers