Machine learning engineer

GenPark leverages intelligent Brand Agents and User Agents to help brands effectively connect with global Gen Z consumers. Through the use of personalized AI-generated content, interactive Agents, and immersive AI-driven video experiences, GenPark ensures brands deliver targeted messaging to optimize conversion rates and reduce customer acquisition costs. As an AI-native system, GenPark’s Agents continuously learn from user behavior and feedback, enhancing the precision of product, service, and consumer matches across worldwide markets.

This is a hybrid internship role for a Machine Learning Engineer located in Toronto, ON, with opportunities for both in-office and remote work. Responsibilities include developing, testing, and optimizing machine learning models, designing algorithms, and working with neural networks and pattern recognition. Interns will be tasked with analyzing data and applying statistical methods to create innovative AI solutions tailored for GenPark’s intelligent Agents.

• Strong foundation in Pattern Recognition and Neural Networks
• Proficiency in Computer Science and Algorithms
• Knowledge of Statistics and data analysis methodologies
• Familiarity with machine learning tools, frameworks (e.g., TensorFlow, PyTorch), and programming languages such as Python
• Excellent problem-solving skills and the ability to work both independently and collaboratively
• Enthusiasm for exploring innovative uses of AI in interactive technologies
• Pursuing or recently completed a degree in Computer Science, Data Science, Artificial Intelligence, or a related field