Student machine learning software engineer building end - to - end AI solutions at RBC Borealis, Royal Bank of Canada’s AI and data innovation group. Collaborating with researchers and business teams on algorithms, distributed data processing, and production - ready software.
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
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