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Research Scientist, Cloud AI at Google (Sunnyvale, CA)

Minimum qualifications:

  • PhD degree in Computer Science, related technical field or equivalent practical experience.
  • Experience contributing to research communities and/or efforts, including publications at conferences (such as CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, etc.), citations, etc.
  • Experience in Natural Language Understanding, Computer Vision, Machine Learning, Algorithmic Foundations of Optimization, Data Mining or Machine Intelligence.
  • Programming experience in one or more of the following: C, C++, Python.

Preferred qualifications:

  • Large Scale Machine Learning experience.
  • Experience with Deep Learning, Neural Networks, or related fields.
  • Ability to be innovating, combined with developed communication skills.
  • Demonstrated problem solving skills.

About the job

As a Research Scientist on the Google Cloud AI team, you will be working on innovating and delivering machine learning techniques to impact the world via Google Cloud. Your research could make a huge difference to many verticals: Healthcare, Finance, Content/Entertainment, Energy, Ecommerce, Transportation, and more.

You will manage individual project priorities, deadlines, and deliverables, adapting to changes and setbacks in order to manage pressures, demonstrating and applying theories through research efforts to develop new and improved products, processes, or technologies.

From creating experiments and prototyping implementations to designing new architectures, Research Scientists work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. But you stay connected to your research roots as an active contributor to the wider research community by partnering with universities and publishing papers. The goal of Cloud AI is to innovate and deliver AI tech to impact the world via Google Cloud.

Responsibilities

  • Participate in research in artificial intelligence and machine learning applications.
  • Develop solutions for real-world, large-scale problems.

At Google, we don’t just accept difference—we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products and our community. 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 Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing this form.