What career detour ended up being the best thing that ever happened to you? 🔀
About us
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/
External link for Meta
- Industry
- Software Development
- Company size
- 10,001+ employees
- Headquarters
- Menlo Park, CA
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- Public Company
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- Connectivity, Artificial Intelligence, Virtual Reality, Machine Learning, Social Media, Augmented Reality, Marketing Science, Mobile Connectivity, Open Compute, and Metaverse
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Updates
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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 reposted this
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 reposted this
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. 2️⃣ 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
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Happy National Intern Day! 🎉 At Meta, we set a high bar for our interns — because we know they can clear it. This summer's class delivered in ways that humbled and inspired us: → Code in production within their first week → AI tools that are transforming internal workflows → Privacy-protecting systems safeguarding billions of users → Research breakthroughs shipped to products used by 2 billion+ people daily → 100+ hackers competing in our intern hackathon — building everything from accessibility tools to wearable tech But what makes this class special is the growth we witnessed. Interns who came in unsure if they'd belong found teams that genuinely invested in their success. Third-time returners who keep coming back because the work truly matters. Engineers shipping features to millions of users and saying, "Impact at scale starts with empathy, not just engineering." We don't just want their work. We want to see them grow. And we hope the impact is mutual. To every intern building at Meta this summer: you've made us better. Thank you. 💙 Interested in Summer 2027? Learn more about opportunities for students + grads → https://lnkd.in/ewgmCvgn #NationalInternDay #MetaInterns #LifeAtMeta #MetaCareers #BuildWhatsNext
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The U.S. needs 500,000 new electricians in the next two years just to power AI infrastructure. We're not waiting for the workforce to catch up — we're building it. Meta's America's Workforce Academy is a $115M commitment to skilled trades careers — free training, guaranteed jobs, no degree required. Our first cohort in Indianapolis includes former custodians, retail workers, and service industry employees who are now earning industry-recognized credentials in fiber optics, networking, and construction safety. The future of AI isn't just built with code. It's built with hands. 📎 https://go.meta.me/4h4h7iy #MetaCareers #AmericasWorkforceAcademy #DataCenters #SkilledTrades #CareerTraining
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Meta Career Programs: Virtual Learning Series is back - with one goal: to help you launch your tech career at Meta. From August 3–7, join us for five virtual sessions designed to help you connect the dots between what you're studying now and where the industry is headed. Whether you're deep in AI/ML research or exploring your first software engineering role, this series is built to give you a real look inside how we build at Meta. What you'll walk away with: ⭐ Recruiter insights on what stands out in early-career candidates ⭐ How AI-native skills are reshaping the way we build at Meta ⭐ Technical tracks spotlights: software engineering, data science, production engineering, and more ⭐ Actionable ideas for projects and experiences that strengthen your candidacy ⭐ Live Q&A: Come with your questions and get real answers from engineers and recruiters 🎤 What's new for Part 2: This series features spotlight sessions with software engineers and technical leaders across data science, production engineering, security, and more — plus a dedicated session with our recruiting team on how to stand out in the application process. Who this is for: ✅ Students graduating in 2027–2029 exploring technical career paths ✅ Anyone curious about what it takes to build a career in engineering at Meta What to know: 🗓️ When: August 3 - 7 🕐 Time: (M - Th) 4:30 – 5:15 PM PT / (Fri) 12:00 - 12:45 PM ET 💻 Where: Virtual via Zoom Webinar 🔗 Register now: https://lnkd.in/eFDyT_JV We're looking forward to sharing more with the builders of tomorrow. See you there! 🚀 #MetaCareers #VirtualLearning #TechCareers #EarlyCareer #AICareers
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