Google Inc.

Google Inc. is an American multinational technology company that specializes in Internet-related services and products. These include online advertising technologies, search, cloud computing, software, and hardware.

Google Inc. London, UK
Oct 08, 2018
Internship
We encourage you to apply as early as possible as we review applications on a rolling basis. The application process will close on 24th November. Note: By applying to this position your application is automatically submitted to the following locations: London, UK; Dublin, Ireland Site Reliability Engineering (SRE) is what you get when you treat operations as if it’s a software problem. Our mission is to progress, protect, and provide for the software and systems behind all of Google’s public services - Search, Ads, Gmail, Android, YouTube, and App Engine, to name just a few - with an ever-watchful eye on their availability, latency, performance, and capacity.  This is an unusual job, unlike others in the industry. Like traditional operations groups, we keep important, revenue-critical systems up and running despite hurricanes, bandwidth outages, and  configuration problems . Unlike traditional operations groups, we also have full access to and authority to fix, extend, and scale the code to keep it working and harden it against all the vagaries of the Internet. We hire people from both systems and software backgrounds. Strong candidates will have experience with both.  Just as what we do is unique, where we do it is unique too. At Google, we have the good fortune to have developed many interesting systems ranging from  planet-spanning databases  to  near real-time scalable data warehousing  to  fault-tolerant datastream joining . In SRE, we flip between the fine-grained detail of disk driver I/O scheduling to the big picture of continental-level service capacity, across a range of systems and a user population measured in billions. We own those products in production. We drive reliability and performance across massive scale by mastering the full depth of the stack. We literally do learn something new every day - usually surprising things - that have the potential to transform the lives of billions of our users around the world. Create. Design. Code. Build. We offer a range of internships across EMEA and durations and start dates vary according to project and location. Our recruitment team will determine where you fit best based on your resume. Internships are offered in the following areas: Software Engineering: Google's Software Engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a Software Engineer, you will work on a specific project critical to Google’s needs, with opportunities to switch teams and projects as you, and our fast-paced business, grow and evolve. We need our engineers to be versatile, to display leadership qualities and to be enthusiastic in tackling new problems across the full-stack as we continue to push technology forward. As a key member of a versatile team, you design, test, deploy and maintain software solutions. Site Reliability Engineering (SRE): Google’s Site Reliability Engineers apply software engineering skills in their mission to progress, protect, and provide for the software and systems behind all of Google’s public services - Search, Ads, Gmail, Android, YouTube and App Engine, to name just a few - with an ever-watchful eye on their availability, latency, performance and capacity. At Google, we have developed many unique systems ranging from planet-spanning databases, to near real-time scalable data warehousing, to fault-tolerant datastream joining. In SRE, we flip between the fine-grained detail of disk driver I/O scheduling to the big picture of continental-level service capacity, across a range of systems and a user population measured in billions. As a Site Reliability Engineering Intern, you will work on software development projects to keep important, revenue-critical systems up and running. Our engineers create, fix, extend and scale the code to keep it working and to harden it against all the vagaries of the internet. We drive reliability and performance across massive scale by mastering the full depth of the stack. We literally do learn something new every day - usually surprising things - that have the potential to transform the lives of billions of our users around the world. Google is and always will be an engineering company. We hire people with a broad set of technical skills who are ready to tackle some of technology's greatest challenges and make an impact on millions, if not billions, of users. At Google, engineers not only revolutionize search, they routinely work on massive scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From AdWords to Chrome, Android to YouTube, Social to Local, Google engineers are changing the world one technological achievement after another. Responsibilities Research, conceive and develop software applications to extend and improve on Google's product offering. Contribute to a wide variety of projects utilizing natural language processing, artificial intelligence, data compression, machine learning and search technologies. Collaborate on scalability issues involving access to massive amounts of data and information. Utilize exposure to large-scale production software troubleshooting and help maintain mission critical services. Assist in ongoing capacity planning. Qualifications Minimum qualifications: Currently enrolled in Bachelor's or Master’s programme in Computer Science or a related technical field. Experience with Data Structures or Algorithms gathered from: completing a data structures or algorithms class, coursework, course projects, research, individual projects, internships, or other practical experience inside or outside of school or work (including open source hobby coding). Experience of coding in one of the following programming languages including but not limited to: C++, Java, Python or Go. Preferred qualifications: Currently enrolled in penultimate year of degree and returning to education upon completing the internship. Technology internship experience or work experience (i.e. research assistant, teaching assistant, personal projects, etc) programming including various forms of testing in two or more of the following languages: C++, Java, Python or Go. Experience working with some of the following: web application development, Unix/Linux environments, mobile application development, distributed and parallel systems, machine learning, information retrieval, natural language processing, networking, developing large software systems, and/or security software development. Demonstrated interest and ability to learn other coding languages as needed. Developed communication skills, and ability to speak and write in English fluently and idiomatically.
Google Inc. worldwide
Sep 20, 2018
Workshops - Courses - Conferences
If you’re 13-18 years old, we’d love for you to join us in sharing your best ideas with the world. It’s easy to get started You can go solo or grab some friends. Find a problem you’d like to solve. Think up ideas and select the best one. Explore your solution by testing it out. Share your results. Submissions close: December 12th, 2018 Global finalists announced:  May 2019
Google Inc. China
Jan 10, 2018
Scholarship - PhD
Research in machine intelligence has already impacted user-facing services across Google, including Search, Maps and Google Now. Google's Research and Machine Intelligence teams are actively pursuing the next generation of intelligent systems for application with even more Google products. To achieve this, we’re working on projects that utilize the latest techniques in Machine Learning (including Deep Learning approaches like Google Brain) and Natural Language Understanding. We’ve already been joined by some of the best minds, and we’re looking for talented Research Scientists that have applied experience in the fields of Machine Learning, Natural Language Processing and Machine Intelligence to join our team. We do research differently here at Google. Research Scientists aren't cloistered in the lab, but instead work closely with Software Engineers to discover, invent and build at the largest scale. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. From creating experiments and prototyping implementations, to designing new architectures, Research Scientists and Software Engineers work on challenges in machine perception, data mining, machine learning, and natural language understanding. In this role, you'll stay connected to your research roots by actively contributing to the wider research community, partnering with universities and publishing papers. There is always more information out there and Research and Machine Intelligence teams have a never-ending quest to find it and to make it accessible. We're constantly refining our signature search engine to provide better results, and developing offerings like Google Voice Search and Google Image Search to make it faster and more engaging. We're providing users around the world with great search results every day, but at Google, great just isn't good enough. We're just getting started. Google is and always will be an engineering company. We hire people with a broad set of technical skills who are ready to take on some of technology's greatest challenges and make an impact on millions, if not billions, of users. At Google, engineers not only revolutionize search, they routinely work on massive scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From AdWords to Chrome, Android to YouTube, Social to Local, Google engineers are changing the world one technological achievement after another. Responsibilities Participate in cutting edge research in machine intelligence and machine learning applications. Develop solutions for real world, large scale problems. Qualifications Minimum qualifications: Currently pursuing a BS, MS or PhD in computer science or a related technical field. Typically within 12-18 months of completing a Bachelor's or Master's degree, or at any stage in your PhD. Experience (classroom or work related) in Natural Language Understanding, Neural Networks, Computer Vision, Machine Learning, Deep Learning, Algorithmic Foundations of Optimization, Data Science, Data Mining and/or Machine Intelligence (Artificial Intelligence). Experience with one or more general purpose programming languages, including: C/C++, Java, MATLAB or Python. Contribution to research communities and/or efforts, including publishing papers (being listed as author) at conferences such as NIPS, ICML, ACL, CVPR, etc. Preferred qualifications: Relevant work experience, including full-time industry experience or as a researcher in a lab. Demonstrated publication record, with four or more publications at conferences (e.g. NIPS, ICML, ACL, CVPR, etc). Ability to design and execute on a research agenda.