Hybrid Machine Learning Resident

at Alberta Machine Intelligence Institute (Amii)

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

About the role

• Machine Learning Resident for Craver, building a next-generation personalization engine with mentorship from top AI scientists. Participate in developing ML models for enhancing customer engagement.

Responsibilities

• Participate in the application of machine learning for large-scale personalized customer engagement
• Be part of a team of research and machine learning scientists building a next-generation personalization engine
• Report to an Amii Scientist and consult with the client team to share insights and engage in knowledge transfer activities
• Design, implement, optimize, and evaluate models for user targeting, content personalization, and recommendation tasks
• Prepare, curate, and preprocess high-quality datasets for training or fine-tuning, and validating models
• Optimize ML pipelines to ensure efficiency, scalability, and real-time processing capabilities
• Collaborate with the project team and stakeholders to develop MVP and client focused solutions

Requirements

• Completion of a Computer Science (or a related graduate degree program) MSc. or PhD with specialization in Recommendation Systems or Consumer Behavior Analysis based projects.
• Proficient in developing and training, fine-tuning and evaluating machine learning and deep neural network models in PyTorch and/or TensorFlow.
• Proficient in Python programming language and related ML frameworks, libraries, and toolkits (e.g., Scikit-learn, PyTorch, Pandas, HuggingFace).
• Solid understanding of classical statistics and its application in model validation.
• Familiarity with Linux, Git version control, and writing clean code.
• A positive attitude towards learning and understanding a new applied domain.
• Must be legally eligible to work in Canada.
• Familiarity with and hands-on experience with large-scale transactional logs and user behavioral data is preferred.
• Publication record in peer-reviewed academic conferences or relevant journals in machine learning is preferred.
• Experience/familiarity with software engineering best practices is preferred.
• Experience with deploying machine learning models in production environments or strong software engineering (or MLE) skills is a plus.

Benefits

• Work under the mentorship of an Amii Scientist for the duration of the project
• Participate in professional development activities
• Gain access to the Amii community and events
• Get paid for your work (a fair and equitable rate of pay will be negotiated at the time of offer)
• Build your professional network
• The opportunity for an ongoing machine learning role at the client’s organization at the end of the term (at the client’s discretion)