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Want to be part of a team solving real-world challenges with machine learning? Join our team!
"The Advanced Technology team works on some of the most complex problems in applied machine learning. I am looking to add a Lead Machine Learning Scientist to the team who can think outside of the box and lead our team to success as we develop novel solutions to solve these challenges."
-- Mara Cairo, Product Owner, Advanced Technology
The Lead Machine Learning Scientist (Lead MLS) drives scientific excellence in the Advanced Technology team and is an active participant in program and product development and delivery, providing insight into their area of expertise and fostering junior machine learning scientists’ development in the organization. They also support Amii's internal teams as subject matter experts based on their technical specialties and applied machine learning experience.
The Lead MLS uses their scientific knowledge and applied research experience to direct Amii Industry Partners’ research and development efforts. They bridge the gap between business opportunities and fundamental ML, providing scientific oversight on technical projects. In addition, they advise the team in the definition of ML problems and help the team navigate the development and delivery of the solution. This includes coaching the industry partners and the team through the Machine Learning Process Lifecycle. The Lead MLS will also make informed decisions about the data requirements, modelling techniques and methodology, resource identification and evaluation.
In addition to guiding industry partners, the Lead MLS will support fundamental research through partnerships with Amii Fellows and their students, working with one of the world’s best ML departments.
The role focuses on achieving excellence in three principal accountabilities:
This role will report to the Product Owner of the Advanced Technology team.
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, 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 June 3 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.
May 31st 2023
News
A new paper presented this week by Amii scientists at the International Conference on Autonomous Agents and Multiagent Systems (AAMAS) details how they could use machine learning to significantly increase the efficiency of Attabotic's robotic warehouses and the promise the technology holds to transform supply chain logistics.
May 31st 2023
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On April 28, Jiamin He —MSc student at the University of Alberta — presented “Consistent Emphatic Temporal-Difference Learning" at the AI Seminar.
May 11th 2023
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Russ Greiner — Amii Fellow, Canada CIFAR AI Chair and one of the founding members of Amii — is being recognized for his outstanding contribution to furthering computing science with a Lifetime Achievement Award in Computing Science from CS-Can | Info-Can.
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