Job Description

Minimum qualifications:

• Currently enrolled in a PhD degree in Computer Science or a related technical field.
• Experience in Natural Language Understanding, Neural Networks, Computer Vision, Machine Learning, Deep Learning, Algorithmic Foundations of Optimization, Data Science, Data Mining or Machine Intelligence/Artificial Intelligence.

• Experience with one or more general purpose programming languages: Java, C++, Python.

• Experience with research communities 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.
• Experience working (internship or full-time industry experience) as a researcher in a lab environment.

• Ability to design and execute on research agendas.

About the job

Research happens across Google everyday, 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 computing, storage, and networking infrastructure.

Research Interns work closely with Research Scientists and Software Engineers to discover, invent, and build at scale. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes. From creating experiments and prototyping implementations to designing 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 more. You are also expected to contribute to the wider research community by publishing papers.

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.

At Google, engineers work on search, and they routinely work on scalability and storage solutions, large-scale applications, and platforms for developers.

Responsibilities

• Participate in research to develop solutions for real-world, large-scale problems.

• Implement algorithms, experiments or human-computer interfaces using frameworks (e.g., TensorFlow).

• Understand how to use research to drive design decisions.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also and If you have a disability or special need that requires accommodation, please let us know by completing our .