Research Scientist, Google AI (United States)
Company: Google Inc.
Location: Mountain View
Posted on: June 12, 2021
- PhD in Computer Science, related technical field or equivalent
- 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,
- 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
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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