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
• Location requirements: Hybrid, Edmonton, Canada

About the role

• Machine Learning Resident for Coconut Software focusing on AI-driven forecasting models and workforce optimization tasks. Collaborating with research scientists and project teams for impactful financial technology solutions.

Responsibilities

• Design, implement, evaluate, and optimize forecasting models, for AI-driven simulation methodologies and optimization algorithms for demand forecasting and workforce optimization tasks
• Prepare, curate, and preprocess high-quality datasets for training and validating models.
• Undertake applied research to address the limitations in existing methods.
• Collaborate with the project team and stakeholders to develop MVP and client focused solutions.
• Engage in regular client meetings, contributing to presentations and reports on project progress.
• Compile and document project methodologies, experimental setups, analyses, and key findings.

Requirements

• Completion of a Computer Science (or a related graduate degree program) MSc. or PhD with specialization in Sequential Decision Making algorithms (Bayesian Optimization and/or Reinforcement Learning) and experimental architecture simulation methodologies.
• Knowledge of modern forecasting models, particularly transformer-based approaches.
• Knowledge of classical time-series analysis and forecasting (e.g., moving averages, trend decomposition, seasonality).
• Proficient in developing and training machine learning models and sequential decision making algorithms in PyTorch.
• Strong publication record in top-tier AI/ML conferences and journals
• Proficient in Python programming language and related ML frameworks, libraries, and toolkits (e.g., Scikit-learn, BoTorch, OpenBox, Gymnasium, PyTorch, Pandas, HuggingFace).
• Solid understanding of classical statistics and its application in model validation.
• Familiarity with Linux, Git version control, and writing clean code.
• Experience/familiarity with software engineering best practices.
• A positive attitude towards learning and understanding a new applied domain.
• Experience with deploying machine learning models in production environments or strong software engineering (or MLE) skills is a plus.
• Must be legally eligible to work in Canada.
• Desire to take ownership of a problem and demonstrate leadership skills.
• Interdisciplinary team player enthusiastic about working together to achieve excellence.
• Capable of critical and independent thought.
• Able to communicate technical concepts clearly and advise on the application of machine intelligence.
• Intellectual curiosity and the desire to learn new things, techniques, and technologies.

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