Alberta Machine Intelligence Institute grows Alberta’s AI and machine learning capacity and helps organizations adopt machine intelligence. It advances research in AI and machine learning and translates that research into industry adoption through education, training, and business advisory services. Amii operates as a non-profit national AI institute affiliated with the University of Alberta and runs research labs, applied projects, and workforce development programs. The institute works with industry partners across sectors to build in-house AI capabilities and scale academic advances into commercial and operational use.
Algorithmic Game TheoryArtificial IntelligenceData MiningDevelopmentMachine IntelligenceMachine LearningMedical InformaticsNatural Language ProcessingPrivacyReinforcement LearningResearchRoboticsamii.ca
Amii (Alberta Machine Intelligence Institute)
Alberta Machine Intelligence Institute grows Alberta’s AI and machine learning capacity and helps organizations adopt machine intelligence. It advances research in AI and machine learning and translates that research into industry adoption through education, training, and business advisory services. Amii operates as a non-profit national AI institute affiliated with the University of Alberta and runs research labs, applied projects, and workforce development programs. The institute works with industry partners across sectors to build in-house AI capabilities and scale academic advances into commercial and operational use.
Algorithmic Game TheoryArtificial IntelligenceData MiningDevelopmentMachine IntelligenceMachine LearningMedical InformaticsNatural Language ProcessingPrivacyReinforcement LearningResearchRoboticsamii.ca
HQEdmonton, CA
Team Size179
Open Jobs27
Total Funding$51M
Latest Fundraise6 months ago
Join the Team
Machine Learning Scientist
HybridEdmonton, Alberta, CA
Hybrid • Edmonton, Alberta, CA
Teeming tracks opportunities at over 24,000 AI startups, then works with you to find (and land) the one you'll love.
AI Researcher
Full-timeNew York, US
Full-time • New York, US
Frontend Developer
Part-timeUtrecht, NL
Part-time • Utrecht, NL
Mobile Developer
Full-timeManchester, GB
Full-time • Manchester, GB
Product Designer
ContractBerlin, DE
Contract • Berlin, DE
Machine Learning Engineer
Full-timeNiš, RS
Full-time • Niš, RS
Product Designer
Full-timeNiš, RS
Full-time • Niš, RS
"Are you ready to lead a high-performing team of ML Educators in crafting world-class AI literacy content for a variety of learners across Canada? The Machine Learning Scientist is a pivotal force needed to ensure our team’s success in making Canada the world's most AI-literate workforce."
Adam Danyleyko, Product Owner - Training
About Amii
Alberta Machine Intelligence Institute (Amii) is 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.
About The Role
By rigorously validating content and standardizing technical best practices, the Machine Learning Scientist ensures that educational programs are cutting-edge, accurate, and impactful for learners across industry, post-secondary institutions, and the broader ecosystem. This work directly advances the AI literacy journey of our audience, enabling them to confidently and responsibly deploy ethical solutions aligned with the mission of ‘AI for good and for all.’
Reporting to the Product Owner, Training, the Machine Learning Scientist serves as a key subject matter leader within the Training Team, responsible for the technical and people-management functions essential to Amii’s AI literacy mission. This role provides support through deep subject matter expertise, robust people management, and the oversight of technical resource allocation and project execution. The Machine Learning Scientist is ultimately accountable for ensuring the technical accuracy of all ML training content, accuracy of the portfolio assets remains current, high-quality, and is delivered effectively. This position is vital for scaling the technical capability of the ML Educator team and ensuring the reliability of Amii’s world-class training programs.
The position focuses on achieving excellence in four main accountabilities:
Machine Learning Expertise
Technical Coaching & Mentorship
Resource Planning & Project Management
People Leadership
Key Responsibilities
Required Skills / Expertise
Required Qualifications
Masters in Computer Science with a specialization in Machine Learning or a related field
3+ years of applied AI experience
3 + years of experience leading people and teams
Proficient in Python, experience in other programming languages i.e. Java or SQL
Proficient with machine learning tools and frameworks such as Scikit-learn, Pytorch/Tensorflow, Pandas, Optuna, Wandb, lightgbm/XGBoost, and SciPy
Attributes And Expectations
Successfully manages multiple competing priorities in a fast-paced environment
Works independently and makes informed decisions through a collaborative lens
Demonstrates strong interpersonal communication skills, both verbal and written
Establishes credibility while influencing team members to achieve common goals
Identifies the needs of stakeholders and creates/drives new solutions
Able to identify gaps in knowledge and triage their own learning appropriately
Leads with resilience, maintaining team performance through challenges and change
Exhibits confidence and sound judgment while collaborating with subject matter experts
What You'll Love About Us
A professional yet casual work environment that encourages the growth and development of your skills
Participate in professional development activities
Gain access to the Amii community and events
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
How to Apply
If this sounds like the opportunity you've been waiting for, please don’t wait for the closing February 15, 2026 to apply - we’re excited to add a new member to the Amii team for this role, and the posting may come down sooner than the closing date if we find the right candidate before the posting closes! When sending your application, please send your resume and cover letter indicating why you think you'd be a fit for Amii. In your cover letter, please include one professional accomplishment you are most proud of and why.
Applicants must be legally eligible to work in Canada at the time of application.
Amii is an equal opportunity employer and values a diverse workforce. We encourage applications from all qualified individuals without regard to ethnicity, religion, gender identity, sexual orientation, age or disability. Accommodations for disability-related needs throughout the recruitment and selection process are available upon request. Any information provided by you for accommodations will be kept confidential and won’t be used in the selection process.
Establishes, documents, and enforces rigorous technical standards for content development, covering code quality, theoretical model explanations, and data usage best practices
Liaises with teams across Amii to ensure that AI Literacy materials reflect the most current, relevant, and validated ML and AI methodologies
Serves as the final technical review for all AI Literacy materials (e.g., advanced workshops, executive summaries, public talks) to ensure accuracy and integrity
Designs and implements quality assurance processes for integrating internal and external technical feedback, ensuring continuous improvement of the content catalogue
Establishes and leads an internal technical Community of Practice (CoP) for ML Educators to share knowledge, discuss complex technical challenges, and standardize best practices across all content
Provides regular, structured technical mentorship and coaching for the team of ML Educators, focusing on advanced ML concepts, instructional best practices, and technical teaching methodologies
Identifies, recommends, and approves relevant technical training, certifications, and conferences to proactively ensure the team’s skills drive cutting-edge thought and are aligned with Amii’s strategic focus
Fosters a collaborative and inclusive environment within the ML Educator team, promoting knowledge sharing, peer learning, and continuous technical skill development
Reviews and validates all incoming technical training requests to accurately define the necessary scope, technical resource requirements, and realistic delivery timelines in alignment with established best practices for content development
Determines and assigns ML Educators to projects based on their specific technical expertise, current workload, and professional development objectives
Oversees and tracks project progress against defined milestones for content development (e.g., curriculum design, code sample creation, slide finalization), proactively identifies and mitigates technical or timeline risks
Manages the team’s technical environment (e.g., cloud access, specialized software, ML tooling) to ensure educators have the necessary, reliable resources to develop and deliver content effectively
Enables efficient communication, removes roadblocks, and ensures the team is set up for success in delivering high-quality technical content
Provides supervision to junior team members by overseeing and refining their work, and managing approval processes
Mentors direct reports on career development and progression, drawing lessons for coaching opportunities
Fosters a collaborative work environment by facilitating teamwork and the exchange of ideas among team members
Encourages and maintains a problem-solving approach to work while acting as a coach and collaborator
Identifies and addresses knowledge gaps, providing solutions or resources to bridge them
Functions as a point of escalation for addressing challenges and facilitating the resolution of problems
Publication record in peer-reviewed academic conferences or relevant journals
Ability to explain complex technical concepts clearly to non-technical audiences
Thorough understanding of the strengths and weaknesses of a range of ML techniques across supervised learning, unsupervised learning, and reinforcement learning
Experience with developing and delivering curriculum; designing effective learning exercises, illustrations of technical concepts, training and evaluation tools (nice to have)
