Intern, Machine Learning Developer

About the role#

As a Machine Learning Developer intern, you will contribute to the development of core AI platform capabilities. You will work alongside ML and Data Engineers to build shared frameworks and tools that enable product teams to develop safe, observable, and scalable AI agents. This role focuses on standardizing context management, evaluation, and observability across the organization.

What you'll do#

• Research and prototype core AI platform components, including context/state SDKs, evaluation harnesses, and safety frameworks.
• Design and implement observability and logging tools to trace AI agent behavior, cost, and performance metrics.
• Develop data and model pipelines to support retrieval, prompt management, and consistent memory systems.
• Support model evaluation and testing to ensure reliability, factual accuracy, and drift detection.
• Collaborate with product AI teams to integrate platform services into active use cases.
• Document findings, contribute to internal SDKs, and help define best practices for responsible and reproducible AI development.

What you'll need#

• Currently enrolled in a full-time undergraduate degree program with an expected graduation in 2027 or later.
• Pursuing a major in Computer Science, Engineering, Data Science, Statistics, or a related field.
• Familiarity with Python and ML frameworks such as Scikit-learn, PyTorch, or TensorFlow.
• Familiarity with Data Engineering concepts, including data validation, ETL pipelines, and dataset versioning.
• Understanding of Machine Learning lifecycle workflows, model evaluation, and experimental design.
• Experience with Git and familiarity with cloud environments like AWS or Azure.

Location & details#

• Location: Toronto, ON, Canada.
• Term: Fall 2026 (September 1 to December 18, 2026).
• Modality: On-site.
• Compensation: This is a paid internship.