Research Scientist - Machine Learning
at Element AI
🇨🇦 Canada › Montreal (Posted Nov 22 2018)
About the company
Element AI is an artificial intelligence solutions provider that gives organizations unparalleled access to cutting-edge technology. Bringing together the best in entrepreneurship, technology and academic ecosystems, Element AI is building an AI-First World to elevate our collective wisdom.
The research scientists are working under the leadership of the Chief Science Officer to promote the role of fundamental research to advance AI, and ensure that Element AI has access and contributes to the best science.
Element AI wants to carry out fundamental research that advances the state-of-the-art in AI, unfettered by short-term product or client deliverables.
Researchers have the responsibility to set their own research agendas and are expected to collaborate with their colleagues and the global AI community. It is our philosophy that interaction between Element AI and the research community is a key differentiating factor for the company (non-predatory model, i.e. aiming at collaboration without constraints), therefore we encourage our researchers to publish and develop open solutions.
Our research agenda covers many subjects and, based on your interests and our needs, you could explore generative models, reinforcement learning, natural language processing, constraint programming or a variety of other topics.. You will collaborate closely both with software developers and with scientists. In particular, you'll get the opportunity to interact closely with world-class academics from our Faculty Fellowship program, such as Aaron Courville, Christopher Pal, Simon Lacoste-Julien and Liam Paull. These collaborations will often lead to publications in the most important journals and conferences.
What we offer for your valuable work:
Highly dynamic, innovative, passionate, intrapreneurial team
Open and inclusive company culture
Worldwide competitive salary
Participation in the company success through the Employee Stock Option Plan
Participation in company employee benefits program
Flexible hours (outside of core hours)
Autonomous, self-managed Agile teams.
Skills & requirements
You want to join us because you are passionate about:
Fundamental research in machine learning
Publishing in the best journals and conferences
Building strong collaborative relationship with scientists and software developers
Contributing to the success of a dynamic, brilliant and fast growing start up
Staying up-to-date on the scientific literature in your field
We want you to join us because you have: (Preferred qualifications)
A getting-things-done mindset with a desire to push the boundary of fundamental knowledge
A Ph.D in machine learning, computer science, artificial intelligence or a related quantitative field
Experience and mastery with libraries relevant to your field for example: Theano, TensorFlow, NumPy, R, Pytorch etc.
Experience contributing to research communities and/or efforts, including publishing papers at conferences (such as NIPS, ICML, ACL, CVPR, etc.).
An open mind and a desire to learn the best language/technology to solve a given problem
Desire to work in a diversified team
Other jobs that might be interesting
Software Engineer Research (Machine Learning) - GrammaTech (May 2020)
Remote US, 100% Remote
Exciting opportunity to work on significantly advancing the state-of-the-art in cybersecurity tools! Our effort is addressing an outstanding software security hole, through novel applications of machine learning.
Location : GrammaTech has office...