At Google, we take a differentiated, full-stack approach to AI innovation. From our custom silicon to our world-class models, this approach enables us to deliver tools and products that are faster, more secure, and more helpful for everyday users, developers, and customers. We spoke with Paige Bailey, an engineering lead at Google DeepMind, to break down our full-stack approach, and how it shows up in the Google tech you use every day.
About us
A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone. Check out our career opportunities at goo.gle/3DLEokh
- Website
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https://goo.gle/3DLEokh
External link for Google
- Industry
- Software Development
- Company size
- 10,001+ employees
- Headquarters
- Mountain View, CA
- Type
- Public Company
- Specialties
- search, ads, mobile, android, online video, apps, machine learning, virtual reality, cloud, hardware, artificial intelligence, youtube, and software
Employees at Google
View 304k employees at Google
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Updates
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Meet Iris, a Software Engineer at Google Australia. Since starting as an intern, she’s grown her career in the past decade by exploring different engineering teams — moving from Chrome and Maps to Photos. Like many Googlers, Iris has expanded her skill set over the years through internal mobility. Today, she’s part of the Video Consumption team, focusing on the User Interface (UI) — the actual visual layouts and buttons you see on your screen — to elevate videos across the Google Photos app and help users connect with their most engaging memories. That real-world impact is what keeps her inspired, she says — “knowing that what we build is genuinely useful to people." Her advice for taking on massive technical challenges at scale with her team: Remember you don’t need all the answers on day one. "We might not know the answers straightaway," she explains, "but we figure them out together." Want to solve complex product puzzles with a supportive team? Find your next challenge at our Sydney office → https://goo.gle/44BGcd3
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Congratulations to Google leaders Dr. Marian Croak, VP of Human Centered AI and Foundational ML, Elizabeth Reid, VP and Head of Search, and Lila Ibrahim, Chief AI Readiness Officer, Google DeepMind, on being a part of TIME’s 2026 #TIME100AI! This milestone recognizes their ongoing innovation and influence in the field of artificial intelligence.
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Introducing Gemini Omni 1.1 Flash, our newest multimodal model for video generation and editing. It delivers a new suite of creative capabilities and controls for developers 🎥 With this update, you can: 🎬 Extend your scenes while keeping character identity, lighting, and narrative context locked. 🎯 Specify starting and ending frames of a shot, and Omni generates the continuous motion in between. Ideal for complex camera sweeps, zoom transitions, and looping clips. 📽️ Add up to 3 seconds of reference video to map movement, visual context, and character consistency across your scene. ⚡ Generate lightweight video previews in 360p before upscaling your final selects, so you can test out ideas without burning through your budget. ✨ Upscale your favorite clips in high-resolution 1080p or 4K outputs, ready for professional production. (Watch to see this in action below!) Gemini Omni 1.1 Flash is rolling out now in Google AI Studio, Google Flow, and the Gemini Enterprise Agent Platform. Scene extension is available to all Google AI Plus, Pro and Ultra subscribers globally in the Gemini app. Learn more about Gemini Omni 1.1 Flash → https://goo.gle/4ceBbLT
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National parks are best known for sharing the best of the great outdoors with visitors, but they're also where American history was written. To celebrate the National Park Service's 110th birthday, Google Arts & Culture and the National Park Service are launching United Parks of America, a new interactive hub that brings together 60 of the nation's protected natural wonders and historic sites under one digital roof. You can explore more than 150 curated exhibitions, 30 virtual tours, and over 500 miles of Street View imagery across iconic parks, from the Grand Canyon to Boston's Freedom Trail. Plus, experience history in a new way with Path to Independence, an immersive AI storytelling experiment that lets you travel back 250 years with the help of Gemini. Learn more → https://goo.gle/4gx4x9h
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"Our new AI models are 300 times more efficient than those from just two years ago. Not 300 percent—300 times. And while that’s an incredible advance, what matters even more are the expanding ways they are benefiting people." — Kent Walker at the Global Forum on Intellectual Property in Singapore. Learn more about his keynote address, which outlines what it will take to realize the promise of AI while safeguarding creator rights ↓
How do we realize the promise of AI while still safeguarding creators’ legitimate rights? That was the big question I addressed in my keynote at Singapore IP Week 2026. Thank you to the Intellectual Property Office of Singapore (IPOS) for inviting me to share Google’s POV. Catch up on my full remarks here: https://lnkd.in/ewzyJ6pv
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Today we're introducing Gemini 3.5 Transcribe, our most precise speech-to-text model yet, built for intelligent voice interactions 🗣️✨ 3.5 Transcribe directly converts raw audio into accurate, formatted text while removing filler words, handling self-corrections, and capturing your intent so you can get things done using just your voice. Here’s what's new: 📝 Smart transcription: Automatically removes filler words like "ums" and "ahs," formats your text, and seamlessly handles self-corrections. 🌍 Global language support: Detects and transcribes 85+ languages while handling regional accents and diverse dialects. 👥 Multi-speaker identification: Distinguishes up to three speakers with timestamps in recorded audio (support for 3+ speakers is experimental). 🪄 Function calling: In the Gemini app on macOS, it can delegate complex tasks to other Gemini models via function calls to do things like generate images, look up information, analyze files and more. Gemini 3.5 Transcribe is rolling out to consumer surfaces like Rambler on Android and the Gemini app on macOS. Developers can start building today in Google AI Studio and Google Antigravity. Learn more about Gemini 3.5 Transcribe → goo.gle/3UlQoob
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If you loved building blocks as a kid, coding can be a great digital transition. That’s exactly what drove Jonathan to shift from mechanical engineering to computer science. "I loved building with physical things," he explains, "but I realized that in some ways computer science allows me to do even more than that — building code to be able to do whatever I want." Now, Jonathan works as an intern at Google DeepMind under the AI Studio and Kaggle teams, focusing on benchmarks and evaluations for Gemini. He works on the testing frameworks that give researchers the data they need for "hillclimbing" — the technical term for making continuous, incremental improvements to the AI model. His biggest tip for making the most of an internship? Don't let job titles intimidate you. "Everyone is so nice and willing to help out," he says. "It's so cool being able to direct message senior directors… and having them take the time out of their busy day to respond." Want to build the future of AI with us? Check out our open student opportunities → https://lnkd.in/g5PNSxyT
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Visual learners, this one’s for you. By opening a new chat and prompting Gemini with “show me…,” you can generate custom, functional 3D simulations — directly within your chat — to better understand any complex topic on your mind. So, instead of just reading about a concept, you can manually input data, adjust variables, and manipulate sliders to run hands-on, real-time simulations. (For the best results, try using Gemini’s Flash model.) Here’s how ↓
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Google reposted this
Today, we're introducing industry-specific solutions on Gemini Enterprise, starting with Gemini Enterprise for Legal and Financial Services, with more industries to come. Gemini Enterprise for Legal is designed for law firms and in-house legal teams to help find and synthesize information, and navigate complex matters more efficiently. We developed it with leading law firms, including Cleary Gottlieb Steen & Hamilton LLP, Freshfields, Weil, Gotshal & Manges LLP, and Williams & Connolly LLP, to ensure these capabilities meet the needs of today’s legal practices. It has four capabilities: ☑️ Purpose-built skills: Designed by domain experts, skills are reusable packages of instructions and context to automate workflows that support tasks such as contract review and redlining, playbook creation, regulatory horizon scanning, legal research and DSAR fulfillment. ☑️ Connections to trusted systems and data: Secure MCP connectors link agents to document management systems, case repositories, research services, and industry applications including Courtroom5, Docusign, Everlaw, Free Law Project’s CourtListener.com database, Harvey, iManage, Legora, LexisNexis, NetDocuments, RelativityOne, Solve Intelligence and Thomson Reuters. ☑️ Legal agents: Pre-built AI agents from Google and leading legal software providers automate processes such as legal and policy research, regulatory screening, and contract drafting. ☑️ An open ecosystem of partners: Partnerships with global systems integrators — including Accenture, Deloitte, Devoteam, Factor Law, KPMG, Tribe AI, Valtech, Zazmic Inc, Zencore, and 66degrees— enable organizations to customize, integrate, and scale capabilities across complex enterprise architectures. Read more on our blog: https://lnkd.in/gwCF7Hn7
