Now Hiring: Machine Learning Scientist - Intern

“If you are interested in applying reinforcement learning to real-world applications that could potentially lead to publishable research work, this is the right opportunity for you. Be a part of the team of research and machine learning scientists and get mentored by some of the best minds in AI.”

-- Talat Iqbal Syed, Product Lead, Advanced Technology

About Amii

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.

Job Description

The Machine Learning Scientist-Intern 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.

They use 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. 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. In addition, they will support Amii's internal teams as subject matter experts based on their technical specialties and applied Machine Learning experience.

What You'll Do

• Define ML problems, propose and investigate novel approaches to those problems
• Critically analyze and implement (build, train and evaluate) ML models
• Document your findings, approaches and present them to stakeholders
• Work towards publishable material (to workshops, conferences and journals) as an outcome, if appropriate

Qualifications

• At least one year into a Computing Science / ML Graduate program (MSc. or Ph. D.)
• Research or applied experience in Reinforcement Learning (RL)
• Proficient in Python and related RL libraries
• Ability to document and communicate complex technical topics to technical and non-technical stakeholders
• General understanding of the strengths and weaknesses of a range of ML techniques across different areas in machine learning
• Must be legally eligible to work in Canada

Attributes & Expectations

• Critical and independent thought
• Collegiality and willingness to listen to feedback and support teammates
• Intellectual curiosity and the desire to learn new things, techniques, and technologies
• Able to work independently and make informed decisions while collaborating with staff and subject matter experts when appropriate
• Able to identify gaps in knowledge and triage their learning appropriately

What you'll love about us

• A professional yet casual work environment that encourages the growth and development of your skills.
• A chance to learn from amazing teammates who support one another to succeed.
• Competitive compensation including paid time off and flexible health benefits.
• A modern office located in downtown Edmonton, Alberta.

If this sounds like the opportunity you've been waiting for, then please don’t wait to apply! To apply, please send your resume and cover letter indicating why you think you'd be a fit for Amii through the listing on Indeed by August 20, 2021.

Applicants must be legally eligible to work in Canada at the time of application

Amii is proud to be an equal opportunity employer. We are committed to creating a diverse, inclusive and excellent workforce.