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"As Machine Learning Scientists within the Advanced Technology team, we operate at the intersection of fundamental and applied machine learning. We strive to discover the right approach to a problem and creatively combine various algorithms (or invent new ones when necessary) to solve challenges in collaboration with our clients and partners. It is an amazing challenge and a privilege to build bridges between different domains, learn from and work with a diverse group of scientists, engineers, and business professionals to solve complex problems having a large and direct impact in the world."
-- Payam Mousavi, Lead Machine Learning Scientist, Advanced Technology
"As a Fellow-in-Residence, I'm able to help Amii bring machine learning out of the academic lab and into the hands of companies. I really enjoy helping organizations define high-impact problems that ML can address and then assist them along with the research, deployment, and lifecycle stages. I personally take pride in being able to point at something we have helped with and know that we helped our partner successfully improve their business process and made them more competitive."
-- Matt Taylor, Fellow-in-Residence, Amii and Associate Professor, Department of Computing Science, University of Alberta
The Associate Machine Learning Scientist (AMLS) serves as a key member of the team and an active participant in maintaining Amii's reputation for scientific excellence and providing insight into their area of expertise.
The AMLS uses their scientific knowledge and applied research experience to direct the research and development efforts of Amii Industry Partners and Clients. They bridge the gap between business opportunities and ML techniques, providing scientific oversight on technical projects. They will work with Amii’s industrial partner on defining and refining machine learning projects and deliver on the project through iterative stages of the Machine Learning Process Lifecycle (MLPL). This includes making informed decisions about data requirements, literature surveys on potential methodologies, advanced modelling techniques and evaluation.
They will work closely with the rest of the team, including researchers, research scientists and lead scientists and collaborate to find innovative solutions to the business problem. They will support Amii's internal teams as subject matter experts based on their technical specialties and applied Machine Learning experience.
The role focuses on achieving excellence in three main accountabilities:
One of Canada’s three main institutes for artificial intelligence (AI) and machine learning, our world-renowned researchers drive fundamental and applied research at the University of Alberta (and other academic institutions), training some of the world’s top scientific talent. Our cross-functional teams work collaboratively with Alberta-based businesses and organizations to build AI capacity and translate scientific advancement into industry adoption and economic impact.
If this sounds like the opportunity you've been waiting for, please don’t wait for the closing date to apply!
When sending your application, please send your resume and cover letter indicating why you think you'd be a fit for Amii by December 17 through the Indeed listing. In your cover letter, please include one professional accomplishment you are most proud of and why.
Amii is proud to be an equal opportunity employer. We are committed to creating a diverse, inclusive and excellent workforce.
Jul 24th 2024
News
How do we get the best results when AI and human beings work together? In this episode of Approximately Correct, we’re looking into Human-In-The-Loop AI with Amii Fellow and Canada CIFAR AI Chair Matt Taylor.
Jul 22nd 2024
News
Read our monthly update on Alberta’s growing machine intelligence ecosystem and exciting opportunities to get involved.
Jul 18th 2024
News
Amii announces work with Communitech, a Waterloo Region innovation hub, to empower startup founders with the AI tools and resources they need to integrate AI and build in-house capabilities successfully. The collaboration will leverage Amii’s leading AI expertise and resources and be centred around Amii’s Machine Learning Exploration (ML Exploration) program.
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