2022 Research Intern, PhD

Minimum Qualifications

• Currently enrolled in a PhD degree in Computer Science or a related technical field.
• Experience (classroom/work) 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: Java, C++ or Python.
• Experience with research communities and/or efforts, including having published papers (being listed as author) at conferences (e.g. NeurIPS, ICML, ACL, CVPR etc).

Preferred Qualifications

• Available to work full-time for a minimum of 13 weeks.
• Returning to your degree after completing the internship.
• Relevant work experience, including internships, full-time industry experience or as a researcher in a lab.
• Ability to design and execute research agendas.

About the Job

Research happens across Google every day, in many different teams. Our research has already impacted user-facing services across Google including Search, Maps and Google Now, and is central to the success of Google Cloud and our planet-scale computing, storage, and networking infrastructure.

Research Interns work closely with Research Scientists and 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 Interns work on challenges in artificial intelligence, machine perception, data mining, machine learning, natural language understanding, privacy, computer architecture, networking, operating systems, storage and data management, and much more. You are also expected to contribute to the wider research community by publishing papers.

There is always more information out there, and our research teams have a quest to find new ways to make it accessible and useful. We're constantly refining our signature search engine to provide better results, expanding the scope and utility of our data-analytics systems, enhancing our Cloud applications and infrastructure, among a broad range of other Google products.

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 Google Ads 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 to develop solutions for real-world, large-scale problems.