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Google

Google

Sviluppo di software

Mountain View, CA 38.281.633 follower

Chi siamo

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

Sito Web
https://goo.gle/3DLEokh
Settore
Sviluppo di software
Dimensioni dell’azienda
Oltre 10.001 dipendenti
Sede principale
Mountain View, CA
Tipo
Società quotata
Settori di competenza
search, ads, mobile, android, online video, apps, machine learning, virtual reality, cloud, hardware, artificial intelligence, youtube e software

Località

Dipendenti presso Google

Aggiornamenti

  • Visualizza la pagina dell’organizzazione Google

    38.281.633 follower

    Meet Swaroop, a Dublin-based site reliability engineering (SRE) intern. Swaroop is currently pursuing his master’s in computer science, though he’s long been interested in working at Google. This summer, he’s helping build the machine learning models that power Google Ads. “As an SRE, my job is to ensure Google's massive systems are always running smoothly, reliably and efficiently,” he explains. For Swaroop, being staffed on a project that has such a wide-reaching impact is one of the best parts of interning at Google. “I've always wanted to work on the frontier of new technologies, building for billions of users across a vast range of products and domains.” Explore our open roles and opportunities for current students like Swaroop → https://goo.gle/4fLm38J

    • Swaroop in a Google office in front of a wall with a map of the world made out of greenery with a Google Ireland sign.
    • Swaroop wearing an intern hat in front of a Google sign.
    • Swaroop's backpack full of Google-branded items, like an intern hat and a water bottle.
  • Google ha diffuso questo post

    Visualizza la pagina dell’organizzazione Kaggle

    462.074 follower

    Why are games a great way to evaluate AI? 🤔 Games like chess and Go are powerful, evergreen benchmarks for AI. As models get stronger, the games get more difficult, making them perfect for continuously challenging and improving the capabilities of AI systems. But it's not just about winning the game—it's what games represent. They're a fantastic proxy for real-world skills and test a model's abilities in: Strategic planning and reasoning Memory and adaptation "Theory of mind"—understanding an opponent's intent This is why we're building Kaggle Game Arena, an open and transparent platform for evaluating advanced AI systems. Our environments are open-sourced, and we're excited to expand with more games to test increasingly complex capabilities with the community. You can check out our environments and harnesses on GitHub: https://lnkd.in/gS-_zWhC The results from Game Arena will feed into Kaggle Benchmarks, creating dynamic leaderboards that track the performance of new models over time. Learn more about Kaggle Benchmarks here: https://lnkd.in/euJKUdkU

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  • Visualizza la pagina dell’organizzazione Google

    38.281.633 follower

    Meet Chani, a Bengaluru-based test engineer at Google. “My work involves developing robust testing tools and frameworks to build the infrastructure required for test and release automation,” she explains. She also focuses on using “AI strategies for optimizing test methodologies, and providing insightful analytics for better quality assurance.” Chani describes the culture at Google as “the freedom to innovate and collaborate” — and her coworkers have also been a benefit. “I feel like I’m learning from the best while contributing to cutting-edge technology,” she says. Build a career like Chani’s by exploring our open roles and opportunities → https://goo.gle/4kKGHrd

    • Chani, in a Noogler hat, posing in front of a Google sign.
    • Chani posing in front of a wall with a Google sign and potted plants.
    • Chani posing in front of a mural of Google product logos.
  • Google ha diffuso questo post

    Visualizza la pagina dell’organizzazione DeepMind

    1.273.036 follower

    Gemini 2.5 Deep Think is an enhanced reasoning mode for Gemini that extends its "thinking time" to help tackle harder problems. We put it into the hands of mathematicians who explored what it can do. 🧠 💭 Deep Think first generates parallel streams of thought, before comparing, contrasting, and refining these ideas to arrive at better answers. 💡 Its strengths goes beyond the realms of math and science, performing well at work that needs creativity and strategic planning - including tackling tough coding problems as well as iterative web design. Deep Think is now rolling out to Google AI Ultra subscribers. Find out more → https://lnkd.in/euyuUPSR

  • Visualizza la pagina dell’organizzazione Google

    38.281.633 follower

    Try Deep Think in the Gemini app today if you’re a Google AI Ultra subscriber. 🧑🔬 Deep Think is helpful for experts, researchers and academics with complex problems that require creative problem solving, and making improvements step-by-step 🧠+⌛ Just like people tackle complex problems by taking more time to explore different angles, weigh potential solutions and refine a final answer, Gemini 2.5 Deep Think uses parallel thinking techniques to extend “thinking time”, generating parallel streams of thought to test multiple hypotheses. Select ‘Deep Think’ in the prompt bar when using 2.5 Pro. Learn more → https://goo.gle/3U8BZsg

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25.000.000,00 USD

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