Machine Learning Scientist

7 days ago

Edmonton, Alberta, Canada Alberta Machine Intelligence Institute Full time
Dave Staszak | Lead Machine Learning Scientist

About the Role


The Machine Learning Scientist is a vital member of the Advanced Technology Team, contributing to Amii's reputation for scientific excellence and offering valuable insights in their field of expertise.


The Machine Learning Scientist (MLS) leverages their scientific knowledge and research experience to lead the R&D efforts of Amii Industry Partners and Clients, bridging the gap between business opportunities and core ML techniques. They provide scientific oversight on technical projects, advising on project scoping, defining machine learning initiatives, and guiding companies through the Machine Learning Process Lifecycle (MLPL).

This includes strategic decision-making on data requirements, testing modeling techniques, resource allocation, and establishing success metrics.

The MLS also plays a key role in mentoring junior team members, ensuring the delivery of exceptional talent for industry partner projects.The primary focus of the role encompasses three core responsibilities:


  • Industry Engagement
  • Collaborating with Amii clients to enhance their ML projects and capabilities
-
Research - Facilitating ML research advancements

Required Skills / Expertise

Key Responsibilities:

  • Fulfilling ML science requirements in a designated product stream
  • Supervising and mentoring early career ML interns, residents, and associate MLSs on project work and professional growth
  • Providing guidance to industry partners on ML projects
  • Generating technical reports
  • Delivering technical presentations
  • Utilizing exploratory data analysis and ML modeling techniques
  • Collaborating with clients, fellows, and team members on research publications

Qualifications:

  • Graduate degree in Machine Learning or relevant field with equivalent ML experience
  • 2+ years of industrial experience in developing, training, and evaluating ML models
  • Proficiency in Jupyter notebooks and Github environments; adept in Python-based ML and Deep Learning frameworks (e.g. Scikitlearn, Pytorch, Tensorflow, Keras, Transformers, and pandas)
  • Track record of publications in peer-reviewed academic conferences or journals
  • Ability to communicate complex technical concepts to non-technical audiences
  • Comprehensive understanding of various ML techniques - supervised, unsupervised, and reinforcement learning
  • Up-to-date knowledge in specialized areas
  • Familiarity with current trends in LLMs and open-source platforms
- (Nice to have): Experience with Large Language Models (LLM) and Generative AI (GAI) development or optimization

Attributes and Expectations:

  • Critical thinking and independence
  • Collaboration and openness to feedback, supporting team members
  • Intellectual curiosity and continuous learning mindset
  • Ability to identify knowledge gaps and prioritize learning needs
  • Adaptability and readiness to work with diverse data, skill levels, and client requirements
  • Comfortable in leadership roles with clients, offering scientific expertise and mentorship
  • Active engagement in research community activities such as publishing, reviewing, and speaking engagements within their domain
  • Participation in tech community events in Alberta and Canada (e.g. CDL, Tech panels, Tech Talks)

What you'll love about us

  • Professional yet friendly work environment fostering skill development
  • Opportunities for professional growth and access to the Amii community and events
  • Learning from supportive teammates dedicated to mutual success
  • Competitive compensation, inclusive of benefits and flexible paid time off
  • Modern office situated in downtown Edmonton, Alberta

About Amii


As one of Canada's premier institutes for artificial intelligence (AI) and machine learning, Amii's globally recognized researchers drive both fundamental and applied research at the University of Alberta and other academic institutions. Our interdisciplinary teams collaborate with Alberta-based businesses and organizations to bolster AI capabilities, translating scientific progress into industrial applications and economic growth.

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