Senior Research Scientist, Paradigms of Intelligence (Montreal)
Google
This posting is for a new vacancy.\nMinimum qualifications:
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- PhD degree in Computer Science, a related field, or equivalent practical experience.
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- 2 years of experience with machine learning architecture, artificial intelligence, neural networks, recurrent neural networks, or machine learning research.
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\nPreferred qualifications:\n
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- 2 years of experience doing machine learning research in industry.
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- Experience with constructing and training non-traditional neural network architectures.
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- Publications in major machine learning conferences.
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\nAbout the job\nAs 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 recent 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.\nAs 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.\n
The Technology and Society organization connects research, people, and ideas across Google and Alphabet to help shape and advance our most ambitious technology innovations and initiatives and their impact on users and society for the better, and responsibly. In addition, we also aim to share perspectives, engage, and collaborate with others externally on technology related issues and opportunities for society.
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The Canada base salary range for this full-time position is CAD 182,000-187,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.
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Please note that the compensation details listed in Canada role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .
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Responsibilities
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- Conduct research into non-traditional architecture for neural computation.
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- Build and train novel neural network architectures for reasoning, social interaction, and continual learning.
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- Collaborate with Personal Integration (Pi) Team members on their research and contribute to Pi infrastructure.
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- Help produce research deliverables (e.g., papers and blog posts).
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\nGoogle 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 our Accommodations for Applicants form .
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