Machine Learning Scientist, Training

Are you a seasoned technical leader ready to guide a high-performing group of ML Educators in crafting world‑class AI literacy content? We are seeking a leader with proven experience in building and mentoring top‑tier technical teams to serve as a pivotal force 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 collaborate with Alberta‑based businesses and organizations to build AI capacity and translate scientific advances into industry adoption and economic impact.

About The Role

We are looking for a seasoned technical leader to guide our high‑performing group of ML Educators in crafting world‑class AI literacy content. As the Machine Learning Scientist, you will serve as a pivotal force in making Canada the world’s most AI‑literate workforce, leveraging your proven experience in building and mentoring top‑tier technical teams. Reporting to the Product Owner, Training, you will lead the technical and people‑management functions essential to Amii’s AI literacy mission. You will be responsible for scaling the technical capabilities of the ML Educator team, ensuring the reliability of Amii’s world‑class training programs through robust leadership, deep subject‑matter expertise, and strategic resource allocation. By fostering excellence in content development and standardizing technical best practices, you will ensure our educational programs remain cutting‑edge and impactful, directly advancing our audience’s AI literacy journey and enabling them to deploy ethical solutions aligned with the mission of ‘AI for good and for all.’

The position focuses on achieving excellence in four main accountabilities:

• Full Cycle People Leadership
• Machine Learning Expertise
• Technical Coaching & Mentorship
• Resource Planning & Project Management

Key Responsibilities

• 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
• 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
• 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