Hybrid Machine Learning Scientist

at Alberta Machine Intelligence Institute (Amii)

• Job title: Machine Learning Scientist
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: Not specified
• Degree requirement: Postgraduate Degree
• Tech skills: Cloud, Java, Pandas, PMP, Python, PyTorch, Scikit-Learn, SQL, Tensorflow
• Location requirements: Hybrid, Edmonton, Canada

About the role

• Machine Learning Scientist leading a high-performing team in AI literacy content development for diverse learners. Ensuring technical accuracy and best practices for educational programs with Amii.

Responsibilities

• 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

Requirements

• 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
• 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)
• PMP or PMI-ACP Certificate (nice to have)

Benefits

• Competitive compensation, including paid time off and flexible health benefits
• Professional development activities
• Access to the Amii community and events
• A modern office located in downtown Edmonton, Alberta