Intern, Machine Learning Developer

About the Role

In this role you will develop predictive and prescriptive models, production‑ready pipelines, and reusable ML components that enhance forecasting, optimization, segmentation, and decision‑automation across BMP initiatives. The position requires strong technical expertise, solid software‑engineering practices, and the ability to translate business problems into robust machine‑learning solutions in an agile, fast‑moving environment. • Translate complex business and analytical problems into machine‑learning solutions that create measurable value. • Design, develop, and deploy ML models for prediction, classification, clustering, optimization, and anomaly detection supporting BMP use cases. • Build and maintain end‑to‑end ML pipelines including data preparation, feature engineering, model training, validation, deployment, and monitoring. • Collaborate with data analysts, data engineers, and business stakeholders to ensure models align with objectives and data realities. • Implement scalable, reusable, and well‑documented ML components following software‑engineering best practices. • Evaluate model performance, explain results to non‑technical audiences, and continuously improve models based on feedback and evolving data. • Contribute to defining ML standards, tooling, and best practices within the BMP Analytics team. • Stay current with emerging machine‑learning techniques and assess their applicability to BMP business challenges.

Key Responsibilities

• ▸ml pipelines
• ▸model development
• ▸model evaluation
• ▸reusable components
• ▸ml standards
• ▸predictive modeling

What You Bring

• Minimum qualifications: currently enrolled in a full‑time Master’s program, experience with reinforcement learning, proficiency in SQL, Python, Cursor, PowerBI, and AWS. • Preferred qualifications: prior experience with sales or marketing analytics and interest in gaming analytics.

Requirements

• ▸master’s
• ▸reinforcement learning
• ▸sql
• ▸python
• ▸powerbi
• ▸aws

Benefits

The 2026 Canada internship runs for 16 weeks from May 4 to August 21 and is fully paid. Interns work on meaningful projects, receive mentorship from industry leaders, and participate in technical talks and development activities, with flexible workplace options that support office, remote, or hybrid preferences.

Work Environment

Hybrid