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Research Scientist, Google AI (United States)

Company: Google Inc.
Location: Mountain View
Posted on: June 12, 2021

Job Description:

Minimum qualifications:

  • PhD in Computer Science, related technical field or equivalent practical experience.
  • Experience in Natural Language Understanding, Computer Vision, Machine Learning, Algorithmic Foundations of Optimization, Data Mining or Machine Intelligence (Artificial Intelligence).
  • Programming experience in C, C++, Python.
  • Contributions to research communities/efforts, including publishing papers in machine learning (JMLR, ICLR, NeurIPS, ICML, ACL, CVPR).

Preferred qualifications:

  • Relevant work experience, including full time industry experience or as a researcher in a lab
  • Strong publication record
  • Ability to design and execute on research agenda.

About the job

As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.

As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.

Research Scientists at Google 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 researchers at partner universities and technical institutes all over the world. From creating experiments and prototyping implementations to designing new learning algorithms, Research Scientists work on challenges in machine perception, data mining, machine learning, and natural language understanding. As a Google Research Scientist, you will continue to be an active contributor to the wider research community by collaborating with academic researchers and by publishing papers.

Researchers have the freedom to set their research agenda and to engage as much or as little as they wish with existing products, choosing between doing more basic, methodological research or more applied research as necessary to produce the most compelling results. Because many of the advances we develop today may take years to become useful, the team as a whole maintains a portfolio of projects across this spectrum. It is our philosophy that making substantive progress on hard applications can help drive and sharpen the research questions we study, and in turn scientific breakthroughs can spawn entirely new applications.

The Google Research team focuses on methods that can learn multiple layers of rich, non-linear feature extractors and can scale to large amounts of data. Much of our work is best understood as part of the deep learning subfield of machine learning, but we are interested in any methods capable of efficient and effective feature learning that get good results on challenging problems. We have resources and access to projects impossible to find elsewhere. Our broad and fundamental research goals allow us to collaborate closely with and-contribute uniquely to-many different product teams across the company.

Research happens at Google everyday, on many different embedded teams throughout the company. Our research reaches the user through both services and products such as Search, Maps, Google Assistant, Google Translate, Google Cloud and our computing, storage, and networking infrastructure. To achieve this, we're working on a wide variety of projects that utilize the latest state-of-the-art technologies that push the boundaries of what is possible.


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

Keywords: Google Inc., Mountain View , Research Scientist, Google AI (United States), Other , Mountain View, California

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