AI has the potential to help scientists accelerate foundational neuroscience research. One example is connectomics projects, which reconstruct connections between brain cells. We’re sharing our latest ground-breaking connectome project from Google Research and Howard Hughes Medical Institute (HHMI) on the complete male fruit fly brain. This connectome will help scientists decipher how animal nervous systems perceive the world, react to stimuli, and crucially, how damaged neural pathways might one day be repaired. https://goo.gle/3V7qYuZ
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
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https://goo.gle/3DLEokh
External link for Google
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- Software Development
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- 10,001+ employees
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- Mountain View, CA
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- Public Company
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- search, ads, mobile, android, online video, apps, machine learning, virtual reality, cloud, hardware, artificial intelligence, youtube, and software
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Employees at Google
Updates
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We’re hiring — right now — for Research Engineers to join Polaris, a new team at Google DeepMind. As synthetic data pipelines hit their ceiling, the hardest engineering problem in AI is translating the full depth, nuance, and complexity of real-world software engineering into rigorous evaluation frameworks and training benchmarks. That’s why we’re building Polaris. Rather than generating a large number of tasks using a synthetic data pipeline, engineers on the Polaris team focus on creating a smaller number of tasks that more closely capture the complexity of real-world software engineering — taking roughly a week to complete, from ideation to final approval. Alongside building these benchmarks, you will have the autonomy to launch entirely new projects within DeepMind aimed at advancing Gemini’s training data and evaluations. You’ll create experiments, prototype implementations, design new architectures, and tackle real-world problems across AI, NLP, compilers, search, and hardware/software performance analysis all while staying connected to the wider research community through university partnerships and publishing papers. Great talent comes from anywhere. We're hiring across the entire spectrum of experience to find the best people in the world. We want to hear from you if you are: • A Competitor or Hacker: You thrive in competitive programming, math olympiads (IMO, IOI, Putnam, USAMO), or hackathons, and love constructing deeply challenging problems. • An AI-Native Builder: You already live in AI coding agents and LLM-based workflows to ship software at high velocity. • A Polyglot Engineer: You can parachute into unfamiliar programming paradigms, tools, and technical stacks and master them rapidly. If you want to build with a team at Google DeepMind, or know someone who belongs in this room, join us. Apply now → https://goo.gle/3V5Kacp
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The best way to understand a client’s business? Think like their customer. As a Field Sales Representative on our Google Cloud team, Cori has found some unexpected ways to do just that. While pitching a retail media client, she showed how she uses Gemini as a busy mom to find dinner recipes, then customized a recipe to feature their product. “It was a relatable way to prove I understand their business from a consumer’s perspective,” she explains. For another client, an online marketplace for digital assets, customers knew what they wanted, but keyword search couldn’t always get them there. Cori helped explore how Gemini could understand what someone meant, not just the words they typed. Her advice to anyone looking to succeed in sales? “Be authentic, know their business, and always ask, ‘What’s in it for them?’ Also, own your story.” Read more about Cori’s career and the skills behind strategic sales at Google → https://goo.gle/4hU353g
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“Google has a long history of tackling moonshots. I think one of the really exciting things about Project Suncatcher: it's a new way to support what AI can bring to humanity,” - Maria Biggs, director of engineering at Google. Biggs is part of the team working on Project Suncatcher, our moonshot to explore sending TPUs to space, and eventually, power machine learning infrastructure in orbit. Soon we’re kicking off our first test in space, working toward that long-term goal. 🚀 Learn more about the satellite launch and the scientific research that helped us get there. https://goo.gle/4jmjZbl
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"If you land an interview at Google, your biggest advantage is already sitting in your inbox," says Mauricio, a Data Engineer at Google Mexico. When he was preparing for the role, he didn't guess what interviewers were looking for — he relied on the prep guides, video tutorials, and mock tools sent directly by his recruiter. "My primary advice is to thoroughly review these resources and follow the provided instructions closely," he shares. His opportunity began as a cloud consultant, where he remained intentional about selecting hands-on data projects and earning Google Cloud skill badges to build his expertise. That targeted background caught a recruiter's eye and landed him on our YouTube Marketing SIGMA team — which stands for Strategy, Insights, Global Operations, Marketing Tech, and Analytics. If you're ready to bring your data skills to Mexico City, check out open roles at our Mexico office → https://goo.gle/4czuVOO
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Can AI infrastructure perform in space? That’s the question behind Project Suncatcher, our long-term research moonshot exploring whether space could one day host scalable machine learning infrastructure. Now after years of research, Project Suncatcher is scheduled to embark on its first test in orbit, launching a prototype satellite to evaluate how Google Tensor Processing Units (TPUs) perform in space. Learn more about Project Suncatcher.
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Today, we’re partnering with Hiring Our Heroes, Student Veterans of America, and HBI (Home Builders Institute) to help 25,000 veterans and military family members build rewarding careers. We're committed to making it easier for veterans and military families to access opportunities for high-growth careers that offer long-term financial stability through pre-apprenticeships, career coaching, and direct job placements. Learn more → https://goo.gle/47mD0mN
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YouTube CEO Neal Mohan shared the latest from this year’s #MadeOnYouTube ↓
At our fifth annual #MadeOnYouTube, we shared how we’re building the next chapter of innovation for the YouTube Era. Catch up on everything we announced below.
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Today, we're releasing two new text-to-speech models from Google DeepMind built to give creators and developers more ways to create audio experiences: 1️⃣ Gemini 3.8 Flash TTS: Built for deep creative direction and character design. Create entirely new voices from scratch using natural language prompts to bring characters to life across gaming, immersive audiobooks, podcasts, and interactive media. Direct every performance line by line with granular control over acting cues, pacing, dialect shifts, and backchanneling. 2️⃣ Gemini 3.8 Flash-Lite TTS: Built for high-volume, cost-efficient scale. Optimized for high-volume dubbing, audio content creation, and expressive voice agents with fine-grained control over tone, pacing, and expressive nuance. With these new audio models, you can: 🎙️ Design bespoke voices from scratch across 100+ languages using simple prompts 🎬 Tailor scenes line by line with natural script cues for tone, accents, and pacing 👥 Stage two-speaker dialogue from a single script with natural turn-taking 💬 Script nonverbal cues like laughs, sighs, and listening interjections 🗣️ Recreate vocal profiles from a 30-second audio sample of your voice or a voice you have the rights to use 📚 Access 2,000+ production-ready voices with broad language coverage To help keep AI speech transparent, every generated sound file includes imperceptible SynthID watermarking, built-in consent verification, and C2PA credentials. These new Gemini Audio models are rolling out today across Google AI Studio, Gemini Notebook,and the Gemini API. Coming soon to Google Vids and Gemini Enterprise. Learn more → goo.gle/4xIn2hP
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Smallholder farmers produce nearly 35% of the world’s food across more than 500 million farms, yet they often lack access to the satellite data, financial services, and public support that can help them prepare and respond to increasingly unpredictable weather. To help bridge this gap, we've partnered with the Gates Foundation to direct $100M to scale AI-powered climate and crop insights to 200 million smallholder farmers across Sub-Saharan Africa and South Asia — up from 50 million. This combined funding and dedicated technical support from Google researchers will help deploy real-time climate, agricultural, and language AI tools. Learn more from Maggie Johnson, Global Head of Google.org ⬇️
Smallholder farmers produce nearly 35% of the world’s food. Some of the most impactful technological breakthroughs are those that serve these frontline heroes, who are the backbone of global agriculture and food security. Through our longstanding work with the Gates Foundation, we have backed a coalition of global and local institutions that use AI to put practical, life-changing tools directly into the hands of 50 million smallholder farmers across Sub-Saharan Africa and South Asia and are on track to reach 200M. Google and the Gates Foundation have directed more than $100M in combined cash funding, and dedicated technical support from Google researchers, to deploy real-time climate, agricultural, and language AI tools: 🌦️ Micro-Climate Forecasting: The team at TomorrowNow is integrating advanced AI modeling (including Google’s WeatherNext models) to deliver localized weather forecasting, giving farmers actionable insights to make confident, field-level planting decisions. 🌱 Locally-Relevant Guidance: Through AgriVaani, Wadhwani AI is delivering culturally-grounded real-time advisories to smallholder farmers across India in their own languages. 🗺️ Bringing Fields into Focus: Google DeepMind’s Agricultural Understanding Platform maps field boundaries at sub-meter resolution, creating the digital footprint needed for leading institutions like the UN FAO to more efficiently support smallholder farmers at scale. These are just a few of many partners leveraging AI to support farmers and improve the resilience of global food systems. Building a resilient agricultural ecosystem is a collective endeavor that no one organization can achieve alone. A special thank you to Mark Suzman and the team at the Gates Foundation, alongside our other collaborators across the AI Collaborative: Food Security. Learn more about our partnership with the Gates Foundation: https://lnkd.in/eT_tYh8Y Learn more about all of our AI Collaborative: Food Security partners: https://lnkd.in/e3JbZEgA #AIforGood #Agriculture #Collaboration #Googleorg #TechForImpact
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