Note: By applying to this position your application is automatically submitted to the following locations: Montreal, QC, Canada; Toronto, ON, Canada
PhD in Computer Science, related technical field, or equivalent practical experience.
Programming experience in C, C++, and/or Python.
Experience in Natural Language Understanding, Computer Vision, Machine Learning, Algorithmic Foundations of Optimization, Data Mining or Artificial Intelligence.
Experience contributing to research communities and/or efforts, including publishing papers in machine learning venues.
Relevant work experience, including full time industry experience or as a researcher in a lab.
Developed publication record.
Ability to design and execute on research agenda.
About the job
We do research differently here at Google. Our team of Research Scientists aren't cloistered in a secret lab but are embedded throughout the engineering organization, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. 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.
Research Scientists at Google work with Software Engineers to discover, invent, and build. We work on challenges in machine perception, data mining, machine learning, and natural language understanding. As a Google Research Scientist, you'll continue to be an active contributor to the wider research community by collaborating with academic researchers and by publishing papers.
The Google AI team’s research 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. Our broad and fundamental research goals allow us to collaborate closely with many different product teams across the company.
There is always more information out there, and the Research and Machine Intelligence team has a never-ending quest to find it and make it accessible. We're constantly refining our signature search engine to provide better results, and developing offerings like Google Instant, Google Voice Search and Google Image Search to make it faster and more engaging. We're providing users around the world with great search results every day, but at Google, great just isn't good enough. We're just getting started.
Participate in cutting edge research in machine 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.